基于工况识别的插电式混合动力公交车控制策略

为了充分挖掘插电式混合动力公交车(PHEB)的节油潜力、增强车辆对不同行驶工况的适应性,在规则类控制策略的基础上增加工况识别模块,由过去一段时间内的平均车速、平均绝对加速度、怠速时间比三个特征参数作为输入,对当前工况进行模糊识别;建立自动优化平台,用模拟退火算法对关键参数进行优化,根据当前工况类型选取最优控制参数。仿真及实验结果表明,有工况识别的自适应控制策略较无工况识别控制策略增强了路况适应性,燃油经济性提高7%以上。

Control strategy of plug-in hybrid electric bus base on drive-cycle recognition

In order to fully explore plug-in hybrid electric bus (PHEB) fuel saving potential, Enhance the adaptability of different running condition, The condition identification module is added based on the rule class control strategy. The average speed, average absolute acceleration and idle time ratio are extracted from the speed and time of the past time. Fuzzy recognition of the current operating conditions by three characteristic parameters. Set up automatic optimization platform, the key parameters are optimized by simulated annealing algorithm, Select the optimal control parameters according to the current operating conditions. The simulation and experiment results show that the adaptive control strategy has better performance than the non working condition identification and control strategy for fuel economy of 7%.