Thermal management with fast temperature convergence based on optimized fuzzy PID algorithm for electric vehicle battery

In this study, we propose an optimized fuzzy proportional-integral-differential (Fuzzy PID) algorithm used in a rapid temperature control system for automotive batteries. Based on the proposed algorithm, an intelligent thermal management system with temperature feedback mechanism is built by switchable thermoelectric (TE) devices in working mode, simultaneously offering both heating and cooling capabilities. Assisted by liquid cooling optimization, the battery pack temperature is rapidly converged by the regulation of TE devices. Experimental results demonstrate that the temperature of a thermal runaway battery pack can be lowered from 63.5 degrees C to 25 degrees C in just 280 s, while the temperature of a frozen battery pack can be raised from-10 degrees C to 25 degrees C within 185 s. Compared to multi-channel liquid cooling method, our temperature control time is reduced by approximately 76%. The innovative structure and optimized temperature control algorithm can obviously enhance the efficiency of the battery temperature control system in new energy electric vehicle field.

Automated summary

In this study, an optimized fuzzy proportional-integral-differential (Fuzzy PID) algorithm is proposed for a rapid temperature control system in automotive batteries. The algorithm is used to build an intelligent thermal management system with temperature feedback mechanism, employing switchable thermoelectric (TE) devices that offer both heating and cooling capabilities. The battery pack temperature is quickly regulated with the assistance of liquid cooling optimization. Experimental results demonstrate a significant reduction in temperature control time compared to traditional liquid cooling methods.