Abstract: Research on adaptive energy recovery control of electric vehicles a strategy to improve driving performance and energy recovery efficiency is studied for the energy recovery condition of electric vehicles. Firstly, a model to estimate the vehicle weight is established based on the vehicle dynamics model. In the coasting condition, different feedback torque coefficients are determined according to the vehicle weight and road slope to determine the final target coasting feedback torque. In the braking condition, the target deceleration is determined according to the braking depth, and then the brake feedback torque coefficient is determined according to the estimated vehicle weight and target deceleration to determine the final brake feedback target torque, and then the hydraulic braking and electric braking are distributed according to the vehicle capacity. Through the comparison and verification of real vehicles, it not only improves the driving performance, but also improves the energy recovery rate to a certain extent and saves electricity.

Key words: Sliding feedback; Braking feedback; Vehicle weight estimation; Torque distribution; Electric vehicle; Energy recovery

摘要： 针对电动汽车能量回收工况，研究了一种提高驾驶性和能量回收效率的策略。首先依 据汽车动力学模型建立了预估车辆重量的模型，在滑行工况时，依照车重和道路坡度来确定 不同的回馈扭矩系数，从而确定最终的目标滑行回馈扭矩；在制动工况，依据制动深度确定 目标减速度，然后依据预估车重和目标减速度确定制动回馈扭矩系数，从而确定最终的制动 回馈目标扭矩，依据整车能力再进行液压制动和电制动的分配。通过实车对比验证，不仅提 高了驾驶性，而且在一定程度上提高了能量回收率，节省了电量。

关键词: 滑行回馈；制动回馈；车重预估；扭矩分配；电动汽车；能量回收控制