摘要
针对分布式驱动电动汽车的稳定性控制和能量回收,本文提出了一种分层控制策略。上层控制器以制动过程车辆稳定性为控制目标,设计了一种论域自调整的模糊比例-积分附加横摆力矩决策算法,通过对论域的伸缩调整实现高精度控制;下层控制器在满足广义合力的前提下,以最大化回收再生制动能量为控制目标,设计了一种基于粒子群算法的转矩控制分配策略。
For the stability control and energy recovery of distributed drive electric vehicles, a hierarchical control strategy was proposed in this paper. The upper controller took the vehicle stability in braking process as the control objective, designed a universe self-adjusting fuzzy proportional-integral additional yaw moment decision-making algorithm, realized high-precision control through the expansion adjustment of the universe.Under the premise of satisfying the generalized resultant force, a torque control allocation strategy based on particle swarm optimization (PSO) was designed to maximize the regenerative braking energy.
作者
孟灿
米思雨
MENG Can;MI Siyu(School of Automotive and Mechanical Engineering, Changsha University of Science & Technology,Changsha Hunan 410114;Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha University of Science and Technology,Changsha Hunan 410114)
出处
《河南科技》
2018年第34期115-118,共4页
Henan Science and Technology
关键词
分布式驱动电动汽车
复合制动
稳定性控制
变论域模糊控制
粒子群算法
distributed drive electric vehicle
compound braking
stability control
variable universe fuzzy control
particle swarm optimization
