Cooling Optimization Strategy for a 6s4p Lithium-Ion Battery Pack Based on Triple-Step Nonlinear Method

In a battery cooling system, by adopting a cooling optimization control strategy, the battery temperature under different external environments and load currents can be adjusted to ensure performance and safety. In this study, two modes of the thermal management system are established for the 6s4p (six serial and four parallel batteries in a stage) battery pack. A single particle model, considering battery aging, is adopted for the battery. Furthermore, a cooling optimization control strategy for the battery is proposed based on the triple-step nonlinear method, and then the optimization effect is validated under two C-rate charge-discharge cycles, NEDC cycles, and US06 cycles. Moreover, an extended PID control strategy is constructed and compared with the triple-step nonlinear method. A comparison of pump power, thermal behavior, and aging performance indicate parallel cooling is more advantageous. This verifies the validity of the triple-step nonlinear method and shows its advantages over the extended PID method. The present study provides a method to investigate the thermal behavior and aging performance of a battery pack in a BTM system, and fills in the research gaps in the cooling optimization control strategy for battery packs.

Automated summary

By adopting a cooling optimization control strategy, this study adjusts the battery temperature in a battery cooling system to ensure performance and safety under different external environments and load currents. Two modes of the thermal management system are established, and a single particle model considering battery aging is used. The proposed cooling optimization control strategy based on the triple-step nonlinear method is validated and compared with an extended PID method. The study fills in the research gaps in the cooling optimization control strategy for battery packs and provides a method to investigate the thermal behavior and aging performance.