In order to fully obtain the working performance of the power battery, each test needs to be tested separately at multiple different temperatures and different aging conditions to realize the full-life efficient management of the full-climate power battery.

Data completion time: 2018-10-31

1.Basic battery parameters

2. Test process

Arbin BT-2000 5V-30A performs a characteristic test every 50 cycles. The test process is shown in the figure below.

Figure 1 Test process

3. Introduction to the data set

A total of 1350 cycles. OCV under small current, internal resistance, DST/UDDS condition, and capacity test were completed every 50 cycles. The aging process is at 30°C with different discharge rates (0.5C, 1C, 1.5C, 2C), and different SOC intervals (0 ~20%, 0~50%, 0~100%, 10-90%, 20~30%, 25~75%, 40~60%, 50~100%, 80~100%, 90~100%).

4. Battery characteristic curve

Figure 2 Capacity decay trajectory of power battery under different discharge rate: (a) 0.5C and 1C; (b) 1.5C and 2C; (c) dynamic discharge rate

5、Related papers

[1] 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）

[2] 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）

[3] 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）