18650-3Ah

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%).

Data file:Resource Application Form.pdf

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



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