Energy Storage Science and Technology ›› 2022, Vol. 11 ›› Issue (10): 3191-3199.doi: 10.19799/j.cnki.2095-4239.2022.0205

• Energy Storage System and Engineering • Previous Articles     Next Articles

Low-temperature compound-heating strategy and optimization of lithium-ion battery

Kuining LI1,2(), Jinghong WANG1,2, Yi XIE3, Bin LIU1,2, Jiangyan LIU1,2, Zhaoting LIU1,2   

  1. 1.Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education of China, Chongqing University
    2.School of Energy and Power Engineering, Chongqing University
    3.College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China
  • Received:2022-04-15 Revised:2022-05-10 Online:2022-10-05 Published:2022-10-10
  • Contact: Kuining LI E-mail:leekn@cqu.edu.cn

Abstract:

Recently, electric vehicles have developed due to their energy-saving, environmental protection, and high energy-conversion efficiency. At low temperatures, the performance of lithium-ion batteries, such as discharge power and capacity, is attenuated. This has affected the development and popularization of electric vehicles in the cold areas of north China. Therefore, it is important to understand how lithium-ion batteries reliably, efficiently, and safely heat at low temperatures. The electrical and thermal characteristics of the battery are obtained using the ternary lithium prismatic battery as the research objectives by testing the low-temperature characteristics of the battery under different working conditions. The cell electrothermal-coupling model is established, and a low-temperature heating-simulation model of the battery is obtained by fitting experimental data with the neural network method. The accuracy of the simulation model is verified using the temperature-rise experiments for the battery under different working conditions. A multistage constant-current composite-heating method is proposed, and a multiobjective nonlinear optimization model of battery aging, heating time, and capacity gain is established. The relationship between battery aging, heating time, and capacity gain is revealed, and the evaluation weighting matrix is obtained. The balanced heating strategy of the cell is obtained using the nondominated sorting genetic algorithm-?Ⅱ(NSGA-?Ⅱ) and technique for order preference by similarity to ideal solution (TOPSIS), and the effect of different initial states of the battery on the optimization objective is explored. According to the different initial states of the battery, the heating-current database of the cell is established based on the balanced heating strategy. When the initial temperature of the battery is -20 ℃, the heating time to 10 ℃ is 253 s, the capacity gain is 4.72 Ah, the battery aging is 0.482?, and the peak power gain is 1104 W.

Key words: lithium-ion battery, low-temperature electrothermal coupling model, composite heating method, heating strategy

CLC Number: