Optimized fuzzy regenerative braking strategy for electric vehicles based on Sparrow Search Algorithm

In order to improve the braking energy recovery performance of pure electric vehicles, an optimized fuzzy regenerative braking control strategy was proposed based on the Sparrow Search Algorithm (SSA) for front-drive pure electric vehicles. Intelligent algorithms were integrated with Kamm circle constraints to redesign the optimal braking force distribution curves for the front and rear axles. The fuzzy logic controller employs SSA to determine the optimal proportional coefficient of regenerative braking force for the front wheels under various driving conditions. The stability was assessed by the Lateral Load Transfer Ratio (LTR). And a comprehensive evaluation index composed of braking energy recovery rate, driving range contribution rate, and energy saving rate was designed using the CRITIC method. The optimized strategy was validated through joint simulations with AVL Cruise and Simulink, and results show that the comprehensive evaluation indexes under CLTC-P and WLTC conditions are improved by 12.26% and 11.75%, respectively.