To address the comfort of an electric vehicle, a coupling mechanism between mechanical friction braking and electric regenerative braking was studied. A cooperative braking system model was established, and comprehensive simulations and system optimizations were carried out. The performance of the cooperative braking system was analyzed. The distribution of the braking force was optimized by an intelligent method, and the distribution of a braking force logic diagram based on comfort was proposed. Using an intelligent algorithm, the braking force was distributed between the two braking systems and between the driving and driven axles. The experiment based on comfort was carried out. The results show that comfort after optimization is improved by 76.29% compared with that before optimization by comparing RMS value in the time domain. The reason is that the braking force distribution strategy based on the optimization takes into account the driver’s braking demand, the maximum braking torque of the motor, and the requirements of vehicle comfort, and makes full use of the braking torque of the motor. The error between simulation results and experimental results is 5.13%, which indicates that the braking force’s distribution strategy is feasible.

为了解决电动车辆的舒适性，研究了机械摩擦制动和电再生制动之间的耦合机制。建立了协同制动系统模型，并进行了综合仿真和系统优化。分析了协同制动系统的性能。通过智能方法优化了制动力的分布，并提出了基于舒适度的制动力逻辑图的分布。使用智能算法，制动力分配在两个制动系统之间以及驱动桥和从动桥之间。进行了基于舒适度的实验。结果表明，通过比较时域的RMS值，优化后的舒适度比优化前提高了76.29％。原因是基于优化的制动力分配策略考虑了驾驶员的制动需求，电动机的最大制动转矩以及车辆舒适性的要求，并充分利用了电动机的制动转矩。仿真结果与实验结果之间的误差为5.13％，表明制动力的分配策略是可行的。