基于最佳制动效果的并联式混合动力汽车再生制动控制策略

在遵循制动力分配原则的基础上，提出了基于最佳制动效果和模糊控制的再生制动控制策略，使机械制动和再生制动可以很好地协同工作，实现前后轮制动力合理分配。设计了以制动强度和蓄电池荷电状态为输入变量，以期望再生制动力为输出变量的模糊控制器。利用仿真软件ADVISOR，对所设计的控制策略进行了部件性能、制动能量回收、制动感觉三方面仿真分析。同时，为验证ADVISOR仿真结果的有效性，搭建了硬件在环仿真实验平台。结果表明，所设计的控制策略在保证汽车制动稳定性的前提下，能够使驾驶员获得满意的制动感觉，同时有效提高了汽车能量利用率，最终达到了最佳制动效果。

Regenerative Braking Control Strategy for PHEV Based on Optimal Braking Effect

Based on the principles of the braking force distribution, a regenerative braking control strategy was proposed on the basis of the optimal braking effect and fuzzy control, where mechanical braking could cooperate with regenerative braking and front and rear wheel braking force were distributed reasonably. Taking the braking strength and the state of charge of batteries as inputs, and regarding the expected regenerative braking force as an output, a fuzzy controller was designed. The control strategy designed was simulated from parts performance, braking energy recovery and braking sense compared with the default control strategy in ADVISOR. At the same time, the hardware-in-the-loop simulation was developed to prove the simulation results in ADVISOR effective. The results show that the control strategy presented can assure the driver of satisfactory braking sense based on the braking stability, and improve energy efficiency at the same time and at last achieve optimal braking effect．