Update: 2021-04-01

2023

191. Jiahuan Lu, Rui Xiong*, Jinpeng Tian, Chenxu Wang and Fengchun Sun,"Deep learning to predict battery voltage behavior after uncertain cycling-induced degradation",Journal of Power Sources, Journal of Power Sources, vol. 581, pp. 233473, November 2023. (Download)

190. Aihua Tang, Yukun Huang, Shangmei Liu, Quanqing Yu*, Weixiang Shen and Rui Xiong*, "A novel lithium-ion battery state of charge estimation method based on the fusion of neural network and equivalent circuit models", Applied Energy, vol.348, pp. 121578, October 2023. (Download)

189. Yue Sun, Rui Xiong*, Chenxu Wang, Jinpeng Tian and Hailong Li,"Deep neural network battery impedance spectrum prediction using only impedance at characteristic frequencies", Journal of Power Sources, vol. 580, pp. 233414, October 2023. (Download)

188. Rui Xiong, Yanzhou Duan, Kaixuan Zhang, Da Lin, Jinpeng Tian* and Cheng Chen*, "State-of-charge Estimation for Onboard LiFePO4 Batteries with Adaptive State Update in Specific Open-circuit-voltage Ranges", Applied Energy, vol. 349, pp. 121581, November 2023. (Download)

187. Jinpeng Tian, Cheng Chen*, Weixiang Shen, Fengchun Sun and Rui Xiong*, "Deep Learning Framework for Lithium-ion Battery State of Charge Estimation: Recent Advances and Future Perspectives", Energy Storage Materials, vol. 61, pp.102883, August 2023. (Download)

186. Zeyu Chen, Rui Xiong*, Xue Cai, Zhen WANG and RuiXin Yang, “Regenerative Braking Control Strategy for Distributed Drive Electric Vehicles Based on Slope and Mass Co-estimation”, IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2023.3299313, 2023. (Download)

185. Rui Xiong*, Zian Zhao, Cheng Chen, Xinggang Li and Weixiang Shen, “Electrothermal model based Remaining Charging Time Prediction of Lithium-ion Batteries Against Wide Temperature Range ”, Chinese Journal of Mechanical Engineering, September 2023. (Download)

184. Yu Yang, Renjie Wang, Zhaojie Shen, Quanqing Yu*, Rui Xiong* and Weixiang Shen, “Towards a safer lithium-ion batteries: A critical review on cause, characteristics, warning and disposal strategy for thermal runaway”, Advances in Applied Energy, vol. 11, pp.100146, September 2023. (Download)

183. Kaixuan Zhang, Rui Xiong*, Qiang Li, Cheng Chen, Jinpeng Tian, Weixiang Shen, "A Novel Pseudo-Open-Circuit Voltage Modeling Method for Accurate State-of-Charge Estimation of LiFePO4 Batteries", Applied Energy, vol. 347, pp.121406, October 2023. (Download)

182. Yongzhi Zhang*, Dou Han and Rui Xiong*, "Feature-Driven Closed-Loop Optimization for Battery Fast Charging Design with Machine Learning", Journal of The Electrochemical Society, vol.170, pp. 060508, June 2023. (Download)

181. Yongzhi Zhang*, Xinhong Feng, Mingyuan Zhao and Rui Xiong*, "In-Situ Battery Life Prognostics Amid Mixed Operation Conditions Using Physics-Driven Machine Learning", Journal of Power Sources, vol.577, pp. 233246, September 2023. (Download)

180. Quanqing Yu, Can Wang, Jianming Li, Rui Xiong* and Michael Pecht, "Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications", eTransportation, vol.17, pp.100254, July 2023. (Download)

179. Chen Zhu, Liqing Sun, Cheng Chen, Jinpeng Tian, Weixiang Shen and Rui Xiong*,"Lithium-ion Battery Degradation Diagnosis and State-of-Health Estimation with Half Cell Electrode Potential", Electrochimica Acta, vol.459, pp. 142588, August 2023. (Download)

178. Rui Xiong*, Hailong Li, Quanqing Yu, Alessandro Romagnoli, Jakub Jurasz and Xiao-Guang Yang, "Applications of AI in Advanced Energy Storage Technologies", Energy and AI, 2023,100268, July 2023. (Download)

177. Jiahuan Lu, Rui Xiong*, Jinpeng Tian*, Chenxu Wang and Fengchun Sun,"Deep learning to estimate lithium-ion battery state of health without additional degradation experiments", Nature Communications, vol. 14, pp. 2760, May 2023. (Download)

176. Jinpeng Tian, Rui Xiong*, Cheng Chen, Chenxu Wang, Weixiang Shen and Fengchun Sun,"Simultaneous prediction of impedance spectra and state for lithium-ion batteries from short-term pulses", Electrochimica Acta, vol.449, pp.142218, May 2023. (Download)

175. Rui Xiong*, Baoqiang Zhu, Kui Zhang, Yanzhou Duan and Fengchun Sun,"Design and implementation of a battery big data platform through intelligent connected electric vehicles", Chinese Journal of Mechanical Engineering, vol.36, pp. 56, April 2023. (Download)

174. Rui Xiong*, Yue Sun, Chenxu Wang, Jinpeng Tian, Xiang Chen, Hailong Li* and Qiang Zhang*,"A data-driven method for extracting aging features to accurately predict the battery health", Energy Storage Materials, vol.57, pp. 460-470, March 2023. (Download)

173. Yu Tian, Cheng Lin*, Xiang Chen, Xiao Yu, Rui Xiong* and Qiang Zhang* ,"Reversible lithium plating on working anodes enhances fast charging capability in low-temperature lithium-ion batteries", Energy Storage Materials, vol. 56, pp. 412-423, February 2023. (Download)

172. Rui Xiong*, Kui Zhang, Siyu Qu, Jinpeng Tian and Weixiang Shen,"A fast pre-heating method for lithium-ion batteries by wireless energy transfer at low temperatures", eTransportation, vol.16, pp.100227, April 2023. (Download)

171. Rui Xiong, Jinpeng Tian*, Weixiang Shen, Jiahuan Lu and Fengchun Sun,"Semi-supervised estimation of capacity degradation for lithium ion batteries with electrochemical impedance spectroscopy",Journal of Energy Chemistry, vol. 76, pp.404-413, January 2023. (Download)

2022

170. Rui Xiong*, Jonghoon Kim, Weixiang Shen, Chen Lv, Hailong Li, Xiaoyong Zhu, Wanzhong Zhao, Bingzhao Gao, Hongyan Guo, Chengming Zhang and Fengchun Sun, "Key Technologies for Electric Vehicles", Green Energy and Intelligent Transportation, vol.1, no.2, pp.100041, September 2022. (Download)

169. Zeyu Chen, Rui Xiong*, Bo Liu, Zirong Wang and Quanqing Yu, "Pontryagin's Minimum Principle-based Power Management of Plug-in Hybrid Electric Vehicles to Enhance the Battery Durability and Thermal Safety",IEEE Transactions on Transportation Electrification, doi:10.1109/TTE.2022.3201029. (Download)

168. Yu Tian, Cheng Lin*, Hailong Li, Jiuyu Du, Rui Xiong*, "Deep neural network driven in-situ detection and quantification of lithium plating on anodes in commercial lithium-ion batteries", EcoMat, vol.5, no.1, pp. e12280, Sep 2022. doi: 10.1002/eom2.12280. (Download)

167. Rui Xiong*, Zhengyang Li, Ruixin Yang, Weixiang Shen, Suxiao Ma and Fengchun Sun, "Fast Self-Heating Battery with Anti-Aging Awareness for Freezing Climates Application", Applied Energy, vol. 324, pp.119762, 15 Oct 2022. (Download)

166. Jinpeng Tian, Rui Xiong*, Weixiang Shen, Jiahuan Lu, Fengchun Sun, "Flexible battery state of health and state of charge estimation using partial charging data and deep learning", Energy Storage Materials, vol. 51, pp.372-381, Oct 2022. (Download)

165. Jinpeng Tian, Rui Xiong*, Jiahuan Lu, Cheng Chen, Weixiang Shen, "Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning", Energy Storage Materials, vol. 50, pp. 718-729, Sep 2022. (Download)

164. Zeyu Chen, Rui Xiong*, Bo Zhang, Ruixin Yang, Weixiang Shen, Xiaoguang Yang, Wanzhou Sun, Dawei Yu, Fengchun Sun, "Benign-to-Malignant Transition in External Short Circuiting of Lithium-ion Batteries ", Cell Reports Physical Science , vol.3, no.6, pp.100923, June 2022. (Download)

163. Jiahuan Lu, Rui Xiong*, Jinpeng Tian, Chenxu Wang, Chia-Wei Hsu, Nien-Ti Tsou, Fengchun Sun and Ju Li*, "Battery Degradation Prediction Against Uncertain Future Conditions with Recurrent Neural Network Enabled Deep Learning", Energy Storage Materials, vol.50, pp.139-151, Sep 2022. (Download)

162. Cheng Chen, Rui Xiong*, Ruixin Yang, Hailong Li*, "A Novel Operational Data-Driven Battery Open-Circuit Voltage Characterization mining method for Large-Scale Applications", Green Energy and Intelligent Transportation, vol.1, no.1, pp. 100001, July 2022. (Download)

161. Jinpeng Tian, Rui Xiong*, Weixiang Shen, Jiahuan Lu, "Data-driven battery degradation prediction: Forecasting voltage-capacity curvesusing one-cycle data", EcoMat, vol.4, no.5, e12213, April 2022, doi:10.1002/eom2.12213. (Download)

160. Rui Xiong*, Jintao Huang, Yanzhou Duan, Weixiang Shen, “Enhanced Lithium-Ion Battery Model considering Critical Surface Charge Behavior” , Applied Energy, vol. 314, pp.118915, May 2022. (Download)

159. Ruixin Yang, Rui Xiong*, Weixiang Shen, “On-board soft short circuit fault diagnosis of lithium-ion battery packs for electric vehicles using extended Kalman filter,” CSEE Journal of Power and Energy Systems, vol. 8, no. 1, pp. 258-270, Jan. 2022. (Download)

158. Chenxu Wang, Rui Xiong*, Jinpeng Tian, Jiahuan Lu, Chengming Zhang, "Rapid Ultracapacitor Life Prediction with a Convolutional Neural Network", Applied Energy, vol.305, pp.117819, January 2022. (Download)

2021

156. R. Xiong*, J. Wang, W. Shen, J. Tian and H. Mu, "Co-Estimation of State of Charge and Capacity for Lithium-ion Batteries with Multi-Stage Model Fusion Method", Engineering, vol. 7, no. 10, pp. 1469-1482, October 2021. (Download)

155. Y. Tian, C. Lin*, H. Li, J. Du, and R. Xiong*, "Detecting undesired lithium plating on anodes for lithium-ion batteries – A review on the in-situ methods", Applied Energy, vol. 300, pp. 117386, October 2021. (Download)

154. Y. Duan, J. Tian*, J. Lu, C. Wang, W. Shen and R. Xiong*, "Deep Neural Network Battery Impedance Spectra Prediction by Only Using Constant-Current Curve", Energy Storage Materials, 2021, doi: 10.1016/j.ensm.2021.05.047. (Download)

153. W. Wang, J. Wang, J. Tian, J. Lu and R.Xiong*,"Application of Digital Twin in Smart Battery Management Systems", Chinese Journal of Mechanical Engineering, 2021, https://doi.org/10.1186/s10033-021-00577-0. (Download)

152. J. Tian, R. Xiong*, W. Shen, J. Lu, X. Yang, “Deep Neural Network Battery Charging Curve Prediction by Using 30 Points Collected in 10 Minutes”, Joule, Accept 2021. (Download)

151. Z. Chen, B. Zhang, R. Xiong*, W. Shen and Q. Yu, "Electro-thermal coupling model of lithium-ion batteries under external short circuit", Applied Energy, vol. 293, pp. 116910, March 2021. (Download)

150. J. Tian, R. Xiong*, W. Shen and J. Lu, "State-of-charge estimation of LiFePO₄ batteries in electric vehicles: A deep learning enabled approach", Applied Energy, vol. 291, pp. 116812, June 2021. (Download)

149. Z. Chen, R. Xiong*, S. Li, B. Zhang. “Research on low-temperature and high-speed heating method of lithium-ion batteries for electric vehicles”, Journal of Mechanical Engineering, 2021, 57, first online publication time: 2021-02-20. (Download)

148. Y. Wang, Z. Rao, S. Liu, X. Li, H. Li* and R. Xiong*, "Evaluating the performance of liquid immersing preheating system for Lithium-ion battery pack," Applied Thermal Engineering, vol.190, pp.116811, May 2021. (Download)

147. Z. Chen, H. Zhang, R. Xiong*, W. Shen and Bo Liu, "Energy management strategy of connected hybrid electric vehicles considering electricity and oil price fluctuations: A case study of ten typical cities in China," Journal of Energy Storage, vol.36, pp.102347, Apr 2021. (Download)

146. J. Tian, R. Xiong*, W. Shen and F. Sun, "Electrode Aging Estimation and Open-Circuit Voltage Reconstruction for Lithium-Ion Batteries", Energy Storage Materials, vol. 37, pp. 283-295, May 2021. (Download)

145. R. Xiong*, J. Wang, W. Shen, J. Tian and H. Mu, "Co-Estimation of State of Charge and Capacity for Lithium-ion Batteries with Multi-Stage Model Fusion Method", Engineering, 2021, https://doi.org/10.1016/j.eng.2020.10.022. (Download)

144. R. Yang, R. Xiong*, W. Shen and X. Lin, “Extreme Learning Machine Based Thermal Model for Lithium-ion Batteries of Electric Vehicles under External Short Circuit”, Engineering, vol. 7, no. 3, pp. 101-111, Mar 2021. (Download)

143. Q. Yu, C. Wan, J. Li, R. Xiong* and Z. Chen, “A Model-Based Sensor Fault Diagnosis Scheme for Batteries in Electric Vehicles”, Energies 2021, 14(4), pp. 829, Feb 2021. (Download)

142. R. Xiong, S. Ma, Z. Chen and F. Sun*, "Electrochemical Thermal Coupling Characteristics and Modeling for Lithium-ion Battery Operating with Extremely Self-fast Heating",JOURNAL OF MECHANICAL ENGINEERING, vol.57, no. 2, pp. pp. 179-189, Jan 2021. (Download)

2020

141. R. Xiong, W. Sun, Q. Yu* and F. Sun, “Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles”, Applied Energy, vol. 279, pp.115855, Dec 2020. (Download)

140. R. Xiong*, S. Suleiman, H. Li, H. Bai, W. Shen, P. Bai and X. Zhou, “IEEE Access Special Section Editorial: Advanced Energy Storage Technologies and Their Applications”, IEEE Access, vol. 8, pp. 218685-218693, Dec 2020. (Download)

139. R. Yang, R. Xiong* and W. Shen, “On-board soft short circuit fault diagnosis of lithium-ion battery packs for electric vehicles using extended Kalman filter,” CSEE Journal of Power and Energy Systems, pp. 10.17775/CSEEJPES.2020.03260, Dec 2020. (Download)

138. J. Tian, R. Xiong*, W. Shen and F. Sun, “Fractional order battery modelling methodologies for electric vehicle applications: Recent advances and perspectives”, Science China Technological Sciences, vol. 63, pp. 1-20, Oct 2020. (Download)

137. R. Xiong*, Y. Pan, W.X. Shen, H. Li and F. C. Sun, “Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives”, Renewable and Sustainable Energy Reviews, vol. 131, pp. 110048, Oct 2020. (Download)

136. J. Tian, R. Xiong* and W. Shen, “State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries”, IEEE Transactions on Power Electronics, vol. 35, no. 10, pp. 10363-10373, Oct 2020. (Download)

135. R. Xiong*, S. Ma, H. Li, F. Sun and J.Li, “Towards a Safer Battery Management System: A Critical Review on Diagnosis and Prognosis of Battery Short Circuit”, iScience, vol. 23, no. 4, pp. 101010, Apr 2020. (Download)

134. H. Chen, R. Xiong*, C. Lin and W. Shen, “Model predictive control based real-time energy management for a hybrid energy storage system”, CSEE Journal of Power and Energy Systems, Oct 2020. (Download)

133. J. Wang, R. Xiong* and H. Mu, “Co-Estimation of Lithium-Ion Battery State-of-Charge and Capacity Through the Temperature and Aging Awareness Model for Electric Vehicles”, Transactions of China Electrotechnical Society, vol. 35, no. 23, pp. 4980-4987, Sep 2020. (Chinese)(Download)

132. J. Tian, R. Xiong*, W. Shen and W. Ju, “A Comparative Study of Fractional Order Models on State of Charge Estimation for Lithium-ion Batteries”, Chinese Journal of Mechanical Engineering, vol. 33, pp. 51, Jul 2020. (Download)

131. R. Xiong* and X. Li, “Battery Internal Temperature Estimation Method through Double Extended Kalman Filtering Algorithm”, Journal of Mechanical Engineering, vol. 56, no.14, pp. 146-151, Jul 2020. (Chinese)(Download)

130. R. Xiong, L. Li, Q. Yu*, Q. Jin and R. Yang, “A set membership theory-based parameter and state of charge co-estimation method for all-climate batteries”, Journal of Cleaner Production, vol. 249, pp. 119380, Mar 2020. (Download)

129. R. Yang, R. Xiong*, S. Ma and X. Lin, “Characterization of external short circuit faults in electric vehicle Li-ion battery packs and prediction using artificial neural networks”, Applied Energy, vol. 260, pp. 114253, Feb 2020. (Download)

128. J. Tian, R. Xiong*, W. Shen, J. Wang and R. Yang, “Online simultaneous identification of parameters and order of a fractional order battery model”, Journal of Cleaner Production, vol. 247, pp. 119147, Feb 2020. (Download)

127. S. Wu, R. Xiong*, H. Li*, V. Nian, and S. Ma, “The state of the art on preheating lithium-ion batteries in cold weather”, Journal of Energy Storage, Vol.27, pp. 101059, Feb 2020. (Download)

126. R. Xiong*, R. Yang, Z. Chen, W. Shen and F.C. Sun, “Online Fault Diagnosis of External Short Circuit for Lithium-ion Battery Pack”, IEEE Transactions on Industrial Electronics, vol 67, no. 2, pp. 1081-1091, Feb 2020. (Download)

2019

125. Y. Zhang, R. Xiong*, H. He, X. Qu and Michael Pecht, “State of charge-dependent aging mechanisms in graphite/Li (NiCoAl)O2 cells: Capacity loss modeling and remaining useful life prediction”, Applied Energy, vol. 255, pp. 113818, Dec 2019. (Download)

124. Z. Chen, R. Xiong* and F. Sun. Research Status and Analysis for Battery Safety Accidents in Electric Vehicles[J]. Journal of Mechanical Engineering, 2019, 55(24): 93-104,116. (cover story)(Download)

123. Q. Yu, R. Xiong*, R. Yang and Michael G. Pecht, “Online capacity estimation for lithium-ion batteries through joint estimation method”, Applied Energy, vol. 255, pp. 113817, Dec 2019. (Download)

122. X. Chen, H. Lei, R. Xiong*, W. Shen and R. Yang, “A novel approach to reconstruct open circuit voltage for state of charge estimation of lithium-ion batteries in electric vehicles”, Applied Energy, vol. 255, pp. 113758, Dec 2019. (Download)

121. J. Tian, R. Xiong*, W. Shen, “A review on state of health estimation for lithium-ion batteries in photovoltaic systems”, eTransportation, vol. 2, pp. 100028, Nov 2019. (Download)

120. S. Guo, R. Xiong*, W. Shen and F. Sun, “Aging investigation of an echelon internal heating method on a three-electrode lithium-ion cell at low temperatures”, Journal of Energy Storage, vol.25, pp. 100878, Oct 2019. (Download)

119. C. Chen, R. Xiong*, R. Yang, W. Shen and Fengchun Sun, “State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter”, Journal of Cleaner Production, vol. 234, pp. 1153-1164, Oct 2019. (Download)

118. R. Xiong, Q. Yu*, W. Shen, C.Lin and F. Sun, “A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles”, IEEE Transactions on Power Electronics, 2019, vol. 34, no. 10, pp. 9709-9718, Oct 2019. (Download)

117. Q. Lin, J. Wang, R. Xiong*, W. Shen and H. He, “Towards a smarter battery management system: A critical review on optimal charging methods of lithium-ion batteries”, Energy, vol.183, pp. 220-234, Sep 2019. (Download)

116. Z. Chen, R.Xiong* and F. Sun, “Research Status and Analysis for Battery Safety Accidents in Electric Vehicles”, Journal of Mechanical Engineering, vol. 55, no. 24, pp. 93-104,116, Sep 2019. (Download)

115. Y. Zhang, R. Xiong*, H. He, X. Qu and Michael Pecht, “State of charge-dependent aging mechanisms in graphite/Li (NiCoAl)O2 cells: Capacity loss modeling and remaining useful life prediction”, Applied Energy, vol. 255, pp. 113818, Dec 2019. (Download)

114. R. Xiong*, K. Wang and S. Guo, “Hybrid Preheating Method for Lithium-ion Battery Used in Cold Environment”, Journal of Mechanical Engineering, vol. 55, no. 14, pp. 53-59, Jul 2019. (Chinese)(Download)

113. J. Tian, R. Xiong*, W. Shen and J. Wang, “Frequency and time domain modelling and online state of charge monitoring for ultracapacitors”, Energy, vol 176, pp. 874-887, Jun 2019. (Download)

112. R. Xiong*, J.Tian, W. Shen and F. Sun, “A novel fractional order model for state of charge estimation in lithium ion batteries”, IEEE Transactions on Vehicular Technology, vol. 68, no.5, pp.4130-4139, May 2019. (Download)

111. R. Xiong, Y. Zhang*, J. Wang, H. He, S. Peng, Michael Pecht, “Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles”, IEEE Transactions on Vehicular Technology, vol. 68, no.5, pp. 4110-4121, May 2019. (Download)

110. Q. Yu*, R. Xiong, C. Li and Pecht Michael G, “Water-Resistant Smartphone Technologies”, IEEE Access, vol. 7, no. 1, pp. 42757-42773, Mar 2019. (Download)

109. Y. Zhang, R. Xiong*, H. He and M. Pecht, “Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries”, Journal of Cleaner Production, vol. 212, pp. 240-249, Mar 2019. (Download)

108. Y. Zhang, R. Xiong*, H. He, and M. Pecht, “Lithium-ion battery remaining useful life prediction with Box–Cox transformation and Monte Carlo simulation”, IEEE Transactions on Industrial Electronics, vol. 66, no.2, pp. 1585-1597, Feb 2019. (Download)

107. J. Tian, R. Xiong* and Q. Yu, “Fractional order model based incremental capacity analysis for degradation state recognition of lithium-ion batteries”, IEEE Transactions on Industrial Electronics, vol. 66, no.2, pp. 1576 - 1584, Feb 2019. (Download)

106. R. Xiong*, S. Ma, R. Yang and Z. Chen, “Thermo-mechanical Influence and Analysis of External Short Circuit Faults in Lithium-ion Battery”, Journal of Mechanical Engineering, vol. 55, no. 2, pp. 115-125, Jan 2019. (Chinese)(Download)

105. M. Ye, X. Song, R. Xiong* and F. Sun, “ A Novel Dynamic Performance Analysis and Evaluation Model of Series-Parallel Connected Battery Pack for Electric Vehicles”, IEEE ACCESS, vol. 7, pp. 14256 – 14265, Jan 2019. (Download)

2018

104. X. Chen*, H. Li and R. Xiong, “A Bias Correction Based State-of-Charge Estimation Method for Multi-cell Battery Pack under Different Working Conditions”, IEEE Access, vol. 6, pp. 78184 – 78192, Dec 2018. (Download)

103. R. Xiong*, L. Li and J. Tian, “Towards a smarter battery management system: A critical review on battery state of health monitoring methods”, Journal of Power Sources, vol.405, pp.18-29, Nov 2018. (Download)

102. R. Xiong*, H. Chen, C. Wang and F. Sun, “Towards a smarter hybrid energy storage system based on battery and ultracapacitor - a critical review on topology and energy management”, Journal of Cleaner Production, vol. 202, pp. 1228-1240, Nov 2018. (Download)

101. C. Wang, R. Xiong*, H. He, Y. Zhang, W. Shen, “Comparison of decomposition levels for wavelet transform based energy management in a plug-in hybrid electric vehicle”, Journal of Cleaner Production, vol. 210, pp. 1085-1097, Nov 2018. (Download)

100. J. Wang, R. Xiong*, L. Li and Y. Fang, “A comparative analysis and validation for double-filters-based state of charge estimators using battery-in-the-loop approach”, Applied Energy, vol.229, pp. 648-659, Nov 2018. (Download)

99. M. Ye, H. Gong, R. Xiong* and H. Mu, “Research on the Battery Charging Strategy With Charging and Temperature Rising Control Awareness”, IEEE ACCESS, vol. 6, pp. 64193 – 64201, Oct 2018. (Download)

98. Z. Wei, J. Zhao, R. Xiong*, G. Dong, Pou Josep and Tseng King Jet, “Online estimation of power capacity with noise effect attenuation for Lithium-Ion battery”, IEEE Transactions on Industrial Electronics, vol. 66, no. 7, pp. 5724-5735, Oct 2018. (Download)

97. Z. Ma, Z. Wang, R. Xiong*, and J. Jiang, “A mechanism identification model based state-of-health diagnosis of lithium-ion batteries for energy storage applications”, Journal of Cleaner Production, vol.193, pp. 379-390, Aug 2018. (Download)

96. H. Lin, Y. Liu, Q. Sun*, R. Xiong*, H. Li*, Wennersten Ronald, “The impact of electric vehicle penetration and charging patterns on the management of energy hub–A multi-agent system simulation”, Applied energy, vol. 230, pp. 189-206, Aug 2018. (Download)

95. Y. Zhang, R. Xiong*, H. He, and M. Pecht, “Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries”, IEEE Transactions on Vehicular Technology, vol. 67, no. 7, pp. 5695 – 5705, Jul 2018. (Download)

94. R. Xiong*, Sharkh, M Suleiman and X. Zhang, “Research Progress on Electric and Intelligent Vehicles”, Energies, Jul 2018. (Download)

93. R. Yang, R. Xiong*, H. He and Z. Chen, “A fractional-order model-based battery external short circuit fault diagnosis approach for all-climate electric vehicles application”, Journal of Cleaner Production, vol. 187, pp. 950-959, Jun 2018. (Download)

92. R. Xiong, L Li, Z. Li, Q. Yu* and H. Mu*, “An electrochemical model-based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application”, Applied Energy, vol. 219, pp. 264-275, Jun 2018. (Download)

91. S. Guo, R. Xiong*, K. Wang and F. Sun, “A novel echelon internal heating strategy of cold batteries for all-climate electric vehicles application”, Applied Energy, vol. 219, pp. 256-263, Jun 2018. (Download)

90. J. Li, R. Xiong*, H. Mu*, B. Cornélusse, P. Vanderbemden, D. Ernst and W. Yuan*, “Design and Real-time Test of a Hybrid Energy Storage System in the Microgrid with the benefit of improving the battery lifetime”, Applied Energy, vol. 218, pp. 470-478, May 2018. (Download)

89. Q. Yu, R. Xiong*, L. Wang and C. Lin, “A comparative study on open circuit voltage models for lithium-ion batteries”, Chinese Journal of Mechanical Engineering, vol. 31, no. 1, pp. 84-91, Apr 2018. (Download)

88. Z. Chen, R. Xiong* , J. Lu and X. Li, “Temperature rise prediction of lithium-ion battery suffering external short circuit for all-climate electric vehicles application”, Applied Energy vol.213, pp. 375-383, Mar 2018. (Download)

87. M. Ye, H. Guo, R. Xiong*, Q. Yu*, “A double-scale and adaptive particle filter-based online parameter and state of charge estimation method for lithium-ion batteries”, Energy, vol.144, pp.789-799, Feb 2018. (Download)

86. R. Xiong, J. Cao, Q. Yu, H. He* and F.C. Sun*, “Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles”, IEEE ACCESS, vol.6, no.1, pp. 1832-1843, Feb 2018. (Download)

85. R. Xiong, J. Cao, Q. Yu*, “Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle”, Applied Energy, vol. 211, pp. 538-548, Feb 2018. (Download)

84. R. Xiong, Y. Zhang*, H. He, X. Zhou, Michael Pecht, “A double-scale, particle-filtering, energy state prediction algorithm for lithium-ion batteries”, IEEE Transactions on Industrial Electronics, vol.65, no.2, pp.1526-1538, Feb 2018. (Download)

83. R. Xiong*, Y. Duan, J. Cao and Q. Yu*, “Battery and ultracapacitor in-the-loop approach to validate a real-time power management method for an all-climate electric vehicle”, Applied energy, vol. 217, pp. 153-165, Feb 2018. (Download)

82. H. Mu and R.Xiong*, “Modeling, Evaluation, and State Estimation for Batteries”, Modeling, Dynamics and Control of Electrified Vehicles, pp. 1-38, Jan 2018. (Download)

81. R. Xiong* and J. Lu, “A comparative study of remaining useful life predictions for lithium-ion battery”, IFAC-PapersOnLine, vol. 51, no. 31, pp. 268-273, Jan 2018. (Download)

80. X. Li and R. Xiong*, “An approach to internal and external temperature estimation for cylindrical battery based on finite difference method”, IFAC-PapersOnLine, vol. 51, no. 31, pp. 258-261, Jan 2018. (Download)

79. C. Chen, R. Xiong*, W. Shen, “A lithium-ion battery-in-the-loop approach to test and validate multi-scale dual H infinity filters for state of charge and capacity estimation”, IEEE Transactions on Power Electronics, vol. 33, no.1, pp.332-342, Jan 2018. (Download)

2017

78. X. Ding, H. Guo, R. Xiong*, F. Chen, D. Zhang and C. Gerada, “A new strategy of e ciency enhancement for traction systems in electric vehicles”, Applied Energy, vol. 205, pp. 880-891, Nov 2017. (Download)

77. H. Mu, R. Xiong*, H. Zheng, Y. Chang and Z. Chen, “A novel fractional order model-based state-of-charge estimation method for lithium-ion battery”, Applied Energy, vol. 207, pp. 379-388, Dec 2017. (Download)

76. R. Yang, R. Xiong*, H He, H. Mu, C. Wang, “A novel method on estimating the degradation and state of charge of lithium-ion batteries used for electrical vehicles”, Applied Energy, vol. 207, pp. 331-340, Dec 2017. (Download)

75. R. Xiong* and Q. Yu, “Open circuit voltage and state of charge online estimation for lithium-ion batteries”, Energy Procedia, vol. 142, pp. 1902-1907, Dec 2017. (Download)

74. R. Xiong*, JP Tian, H Mu*, C. Wang, “A systematic model-based degradation behavior recognition and health monitor method of lithium-ion batteries”, Applied Energy, vol. 207, pp. 367-378, Dec 2017. (Download)

73. R. Xiong*, Q.Q Yu*, LY Wang, C Lin, “A novel method to obtain the open circuit voltage for the state of charge of lithium-ion batteries in electric vehicles by using H infinity filter”, Applied Energy, vol. 207, pp. 341-348, Dec 2017. (Download)

72. Z. Li, R. Xiong*, H Mu, H. He, C. Wang, “A novel parameter and state-of-charge determining method of Lithium-ion battery for electric vehicles”, Applied Energy, vol. 207, pp. 358-366, Dec 2017. (Download)

71. X. Zhang, Z. Lai, R. Xiong*, Z Li, Z Zhang and L Song, “Switching Device Dead Time Optimization of Resonant Double-Sided LCC Wireless Charging System for Electric Vehicles”, Energies, vol.10, no.11, pp.1772, Nov 2017. (Download)

70. Q. Yu, R. Xiong*, C. Lin, W. Shen, J. Deng, “Lithium-ion Battery Parameters and State-of-Charge Joint Estimation Based on H infinity and Unscented Kalman Filters”, IEEE Transactions on Vehicular Technology, Vol. 66, no.10, pp. 8693-8701, Oct 2017. (Download)

69. X. Ding, M. Du, C. Duan, H. Guo*, R. Xiong, J. Xu, J. Cheng, kwong Luk, Patrick Chi, “Analytical and experimental evaluation of SiC-inverter nonlinearities for traction drives used in electric vehicles”, IEEE Transactions on Vehicular Technology, vol. 67, no. 1, pp. 146-159, Oct 2017. (Download)

68. J. Li*, R. Xiong, Q. Yang, F. liang, M. Zhang and W. Yuan*, “Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system”, Applied Energy, vol. 201, pp. 257-269, Sep 2017. (Download)

67. J. Yan*, F. sun, SK. Chou, Desideri Umberto, H. Li, Campana Pietro Elia and R. Xiong, “Transformative innovations for a sustainable future”, Applied Energy, vol. 204, pp. 867-872, Sep 2017. (Download)

66. R. Xiong*, H. Li, X. Zhou, “Advanced Energy Storage Technologies and Their Applications (AESA2017)”, Energies 2017, 10(9), 1366, 9 Sep 2017. (Download)

65. C. Lin, Q. Yu and R. Xiong*, “A study on the impact of open circuit voltage tests on state of charge estimation for lithium-ion batteries”, Applied Energy, vol. 205, pp. 892-902, Aug 2017. (Download)

64. J. Li*, X. Jin and R. Xiong, “Multi-objective optimization study of energy management strategy and economic analysis for a range-extended electric bus”, Applied energy, vol. 194,pp. 798-807, May 2017. (Download)

63. Q. Yu, R. Xiong* and C. Li, “Online estimation of state-of-charge based on the H infinity and unscented Kalman filters for lithium ion batteries”, Energy Procedia, vol. 105, pp. 2791-2796, May 2017. (Download)

62. R. Xiong, J. Tian, H. Mu* and C Wang, “A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries”, Applied Energy, vol. 207, pp. 372-383, May 2017. (Download)

61. M. Ye, H. Guo, R. Xiong* and H. Mu, “An online model-based battery parameter and state estimation method using multi-scale dual adaptive particle filters”, Energy Procedia, vol. 105, pp. 4549-4554, May 2017. (Download)

60. S. Xie, R. Xiong, Y. Zhang and H. He*, “The estimation of state of charge for power battery packs used in hybrid electric vehicle”, Energy Procedia, vol. 105, pp. 2678-2683, May 2017. (Download)

59. C. Lin, H. Mu and R. Xiong*, “Multi-model probabilities-based state fusion estimation method of Lithium-ion battery for electric vehicles: state-of-energy”, Applied Energy, 2017, vol. 194, pp. 560-568, May 2017. (Download)

58. C. Lin, X. Gong*, R. Xiong and X. Cheng*, “A novel H∞ and EKF joint estimation method for determining the center of gravity position of electric vehicles”, Applied Energy, May 2017. (Download)

57. Z. Chen, R. Xiong*, C. Wang, JY. Cao, “An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle”, Applied Energy, vol. 185P2, pp. 1663-1672, Jan 2017. (Download)

56. S. Zhang, R. Xiong*, F. Sun, “Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system”, Applied Energy, vol. 185 P2, pp. 1654-1662, Jan 2017. (Download)

55. Y. Zhang, R. Xiong*, H. He and W. Shen, “A lithium-ion battery pack state of charge and state of energy estimation algorithms using a hardware-in-the-loop validation,” IEEE Transactions on Power Electronics, vol. 32, no. 6, pp. 4421-4431, Jun 2017. (Download)

54. J. Peng, H. He* and R. Xiong, “Rule Based Energy Management Strategy for a Series-parallel Plug-in Hybrid Electric Bus Optimized by Dynamic Programming”, Applied Energy, Jan 2016. (Download)

2016

53. Z. Chen, R. Xiong*, J. Tian, X. Shang and J. Lu, “Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles”, Applied Energy, vol. 184, pp. 365-374, Dec 2016. (Download)

52. L. Li*, X. Wang, R. Xiong, K. He and X. Li, “AMT downshifting strategy design of HEV during regenerative braking process for energy conservation”, Applied energy, vol. 183, pp. 914-925, Dec 2016. (Download)

51. C. Wang, R. Xiong*, H. He, X. Ding and W. Shen, “Efficiency analysis of a bidirectional DC/DC converter in a hybrid energy storage system for plug-in hybrid electric vehicles”, Applied Energy, vol. 183, pp. 612-622, Dec 2016. (Download)

50. M. Ye, H. Guo, R. Xiong* and R. Yang, “Model-based state-of-charge estimation approach of the Lithium-ion battery using an improved adaptive particle filter”, Energy Procedia, vol. 103, pp. 394-399, Dec 2016. (Download)

49. Z. Li, R. Xiong* and H. He, “An improved battery on-line parameter identification and state-of-charge determining method”, Energy Procedia, vol. 103, pp. 381-386, Dec 2016. (Download)

48. C. Chen, F. Sun, R. Xiong* and H. He, “A novel dual h infinity filters-based battery parameter and state estimation approach for electric vehicles application”, Energy Procedia, vol. 103, pp. 375-380, Dec 2016. (Download)

47. S. Zhang, R. Xiong*, JY. Cao, “Battery durability and longevity-based power management for plug-in hybrid electric vehicle with hybrid energy storage system”, Applied Energy, vol. 179, pp. 316-328, Oct 2016. (Download)

46. H. Mu, R. Xiong* and F. Sun, “A novel multi-model probability based battery state-of-charge fusion estimation approach”, Energy Procedia, vol. 88, pp. 840-846, Jun 2016. (Download)

45. J. Li*, X. Jin and R. Xiong, “Multi-objective optimal energy management strategy and economic analysis for an range-extended electric bus”, Energy Procedia, vol. 88, pp. 814-820, Jun 2016. (Download)

44. C. Wang, H. He*, R. Xiong and Y. Zhang, “A novel efficiency modeling method for a DC-DC converter in the hybrid energy storage system for electric vehicles”, Energy Procedia, vol. 88, pp. 935-939, Jun 2016. (Download)

43. C. Lin, H. Mu, R. Xiong* and W. Shen, “A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm”, Applied Energy, vol. 166, pp. 76-83, Mar 2016. (Download)

42. S. Zhang, R. Xiong*, C Zhang and F. Sun, “An optimal structure selection and parameter design approach for a dual-motor-driven system used in an electric bus”, Energy, vol. 96, pp. 437-448, Feb 2016. (Download)

41. Z. Chen, R. Xiong*, JY. Cao, “Particle swarm optimization-based optimal power management of plug-in hybrid electric vehicles considering uncertain driving conditions”, Energy, vol. 96, pp. 197-208, Feb 2016. (Download)

40. F. Sun, R. Xiong* and H. He, “A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique”, Applied Energy, vol. 162, pp. 1399-1409.Jan 2016. (Download)

39. H. He*, R. Xiong and J. Peng, “Real-time estimation of battery state-of-charge with unscented Kalman filter and RTOS COS-II platform”, Applied Energy, vol. 162, pp. 1410-1418, Jan 2016. (Download)

2015

38. S. Zhang, R. Xiong*, C Zhang, “Pontryagin's Minimum Principle-based power management of a dual-motor-driven electric bus”, Applied Energy, vol.159, pp.370-380, Dec 2015. (Download)

37. S. Zhang, R. Xiong*, “Adaptive energy management of plug-in hybrid electric vehicle based on driving pattern recognition and dynamic programming”, Applied Energy, vol.155, pp.68-78, Aug 2015. (Download)

36. Y. Zhang, H. He* and R. Xiong, “A data-driven based state of energy estimator of lithium-ion batteries used to supply electric vehicles”, Energy Procedia, vol. 75, pp. 1944-1949, Aug 2015. (Download)

35. R. Xiong*, H. He and F. Sun, “Methodology for optimal sizing of hybrid power system using particle swarm optimization and dynamic programming”, Energy procedia, vol. 75, pp. 1895-1900, Aug 2015. (Download)

34. J. Peng, H. He* and R. Xiong, “Study on energy management strategies for series-parallel plug-in hybrid electric buses”, Energy Procedia, vol. 75, pp. 1926-1931, Aug 2015. (Download)

33. H. He*, Y. Zhang, R. Xiong* and Chun Wang, “A novel Gaussian model-based battery state estimation approach: State-of-Energy”, Applied Energy, vol. 151, pp.41–48, Aug 2015. (Download)

32. S. Zhang, R. Xiong*, X. Zhou, “Comparison of the topologies for a hybrid energy-storage system of electric vehicles via a novel optimization method”, Science China Technological Sciences, vol. 58, no. 7, pp. 1173-1185, Jul 2015. (Download)

31. Z. Chen, R. Xiong*, K. Wang and B. Jiao, “Optimal Energy Management Strategy of a Plug-in Hybrid Electric Vehicle Based on a Particle Swarm Optimization Algorithm”, Energies, vol. 8, 3661-3678, May 2015. (Download)

30. R. Xiong, H. He* and K. Zhou, “Research on an Online Identification Algorithm for a Thevenin Battery Model by an Experimental Approach”, International Journal of Green Energy, vol. 12, no. 3, pp. 272-278, Mar 2015. (Download)

29. F. Sun and R. Xiong*, “A novel dual-scale cell state-of-charge estimation approach for series-connected battery pack used in electric vehicles”, Journal of Power Sources, vol. 274, pp. 582-594, Jan 2015. (Download)

2014

28. R. Xiong and H. He*, “Cell state-of-charge estimation for the multi-cell series-connected battery pack with model bias correction approach”, Energy Procedia, vol. 61, pp. 172-175, Dec 2014. (Download)

27. Zhang, C. Zhang, R. Xiong* and W. Zhou, “Study on the Optimal Charging Strategy for Lithium-Ion Batteries Used in Electric Vehicles”, Energies, vol.7, no.10, pp. 6783-6797, Oct 2014. (Download)

26. F. Sun; R. Xiong* and H. He, “Estimation of state-of-charge and state-of-power capability of lithium-ion battery considering varying health conditions”, J. Power Sources, vol.259, pp.166–176, Aug 2014. (Download)

25. X. Hu*, R. Xiong and Bo Egardt, “Model-based Dynamic Power Assessment of Lithium-Ion Batteries Considering Different Operating Conditions”, IEEE Transactions on Industrial Informatics, vol. 10, no. 3, pp. 1948–1959, Aug 2014. (Download)

24. H. He*, J. Peng, R. Xiong and H. Fan, “An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control”, Energies, vol. 7, no.6, pp. 3748-3763, Jun 2014. (Download)

23. R. Xiong*, F. Sun and H. He, “Data-driven State-of-charge Estimator for Electric Vehicles Battery using Robust Extended Kalman Filter”, International Journal of Automotive Technology, vol. 15, no. 1, pp. 89–96, Feb 2014. (Download)

22. Z. Chen, C. C. Mi*, R. Xiong, J. Xu and C. You, “Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming”, Journal of Power Sources, vol. 248, pp. 416–426, Feb 2014. (Download)

21. R. Xiong*, F. Sun, X. Gong and C. Gao, “A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles”, Applied Energy, vol. 113, pp. 1421–1433, Jan 2014. (Download)

20. R. Xiong*, F. Sun, Z. Chen and H. He, “A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles”, Applied Energy, vol. 113, pp. 463-476, Jan 2014. (Download)

2013

19. R. Xiong*, F. Sun, H. He and T. Nguyen, “A data-driven adaptive state of charge and power capability joint estimator of lithium-ion polymer battery used in electric vehicles”, Energy, vol. 63, pp. 295–308, Dec 2013. (Download)

18. R. Xiong, X. Gong and C. Mi*, “A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter”, Journal of Power Sources, vol. 243, pp. 805–816, Dec 2013. (Download)

17. H. He*, R. Xiong, K. Zhao and Z. Liu, “Energy management strategy research on a hybrid power system by hardware-in-loop experiments”, Applied Energy, vol. 112, pp. 1311–1317, Dec 2013. (Download)

16. R. Xiong*, F. Sun, X. Gong and H. He, “Adaptive state of charge estimator for lithium-ion cells series battery pack in electric vehicles”, Journal of Power Sources, vol. 242, pp. 699–713, Nov 2013. (Download)

15. R. Xiong, H. He*, F. Sun, X. Liu and Z.Liu, “Model-based State of Charge and peak power capability joint estimation of Lithium-Ion battery in plug-in hybrid electric vehicles”, Journal of Power Sources, vol. 229, pp. 159–169, May 2013. (Download)

14. R. Xiong, H. He*, F. Sun and K. Zhao, “Evaluation on State of Charge Estimation of Batteries with Adaptive Extended Kalman Filter by Experiment Approach”, IEEE Transactions on Vehicular Technology, Vol. 62, no.1, pp. 108–117, Jan 2013. (Download)

2012

13. H. He*, R. Xiong, H. Guo and S. Li, “Comparison study on the battery models used for the energy management of batteries in electric vehicles”, Energy Conversion and Management, vol. 64, pp. 113-121, Dec 2012. (Download)

12. F. Sun, R. Xiong, H. He*, W. Qing and J.E.E.E, “Model-based dynamic multi-parameter method for peak power estimation of lithium–ion batteries”, Applied Energy, vol. 96, pp. 3773-3785, Aug 2012. (Download)

11. R. Xiong*, H. He; F. Sun and K. Zhao, “Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach”, Energies, vol. 5, no. 5, pp. 1455-1469, May 2012. (Download)

10. H. He*, X. Zhang, R. Xiong and Y. Xu, “Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles”, Energy, vol. 39, pp. 310-318, Mar 2012. (Download)

9. R. Xiong*, F. Sun and H. He, “State-of-charge estimation of lithium-ion batteries in electric vehicles based on an adaptive extended Kalman filter”, High Technology Letters, pp. 198-204, Feb 2012. (Chinese)(Download)

8. H. He*, R. Xiong and H. Guo, “Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles”, Applied Energy, vol. 89, no. 1, pp. 413-420, Jan 2012. (Download)

2011

7. R. Xiong*, H. He and F. Zhu, “Identification of dynamic model parameters for ultracapacitor used in electric vehicles”, Journal of Beijing institute of technology, vol. 20, no. suppl.2, pp.204-210, Dec 2011. (Download)

6. H. He* and R. Xiong, “State-of-charge estimation of lithium-ion power battery using sliding mode observer”, Journal of Jilin University(Engineering and Technology), vol. 41, no. 3, pp. 623-628, May 2011.(Chinese)(Download)

5. H. He*, R. Xiong and J. Fan, “Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach”, Energies, vol. 4, no.4, pp. 582-598, Apr 2011. (Download)

4. H. He*, R. Xiong, X. Zhang, F. Sun and J. Fan, “State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model”, IEEE Transactions on Vehicular Technology, vol.60, no. 4, pp.1461-1469, Mar 2011. (Download)

3. H.He* and R.Xiong, “Study on a fuzzy logic control strategy for vehicular hybrid power systems”, Chinese High Technology Letters(Chinese), vol. 21, no. 2, Feb 2011. (Chinese)(Download)

2010

2. H. He*, R. Xiong and Y. Chang, “Dynamic Modeling and Simulation on a Hybrid Power System for Electric Vehicle Applications”, Energies, vol. 3, no. 11, pp. 1821-1830, Mar 2010. (Download)

1. R. Xiong*, H. He, Y. Wang and X. Zhang, “Study on ultracapacitor-battery hybrid power system for PHEV applications”, Chinese High Technology Letters, vol. 16, no. 1, pp. 23-28, Mar 2010. (Download)