智能网联混合动力汽车分层式节能优化控制  

Hierarchical energy saving optimization control of intelligent networked hybrid electric vehicle

作　　者：袁俊凯 邵金菊[1] 韩文祥 王保林 YUAN Junkai;SHAO Jinju;HAN Wenxiang;WANG Baolin(School of Transportation and Vehicle Engineering,Shandong University of Technology,Zibo 255049,China)

机构地区：[1]山东理工大学交通与车辆工程学院,山东淄博255049

出　　处：《山东理工大学学报（自然科学版）》2023年第3期54-61,共8页Journal of Shandong University of Technology:Natural Science Edition

基　　金：山东省自然科学基金青年基金项目(ZR2021QF039)。

摘　　要：针对智能网联环境下混合动力汽车的能量优化控制,提出一种基于智能网联分层式能量管理策略。为减少红灯停车次数并降低制动能量损失,提出了上层控制器的预减速滑动控制以求解初始目标车速范围,进而采用PSO算法优化寻优,求解最优目标车速序列;为提高能量管理实时性,提出了下层控制器的基于逻辑门限规则改进等效燃油消耗最小策略。MATLAB与CRUISE的联合仿真结果表明,所提出的分层控制策略可避免车辆碰撞、闯红灯,并有效减少红灯停车次数,提高燃油经济性。在城市道路限速条件下,采用相同下层控制算法,上层控制算法较交通信号灯正时(SPAT)算法降低8.4%等效燃油消耗;采用相同上层控制算法,下层控制算法有着与等效燃油消耗最小策略(ECMS)相近的燃油经济性,但分层控制总计算时间成本降低21.7%。Aiming at the energy optimization control of hybrid electric vehicle in intelligent network environment,a hierarchical energy management strategy based on intelligent network is proposed.In order to avoid red light stopping and reduce braking energy loss,a pre-deceleration sliding control of upper controller is proposed.In order to solve the initial target speed range,the PSO algorithm is used to optimize and solve the optimal target speed sequence.In order to improve the real-time performance of energy management,a rule-based minimum equivalent fuel consumption strategy for the lower controller is proposed.The co-simulation results of MATLAB/CRUISE show that the proposed hierarchical control strategy can avoid vehicle collision and red light running,effectively reduce the number of red-light parking and improve the fuel economy.Under the condition of urban road speed limit,using the same lower control algorithm,the upper control algorithm reduces 8.4%equivalent fuel consumption compared with the traffic signal timing(SPAT)algorithm.With the same upper control algorithm,the lower control algorithm has the same fuel economy as the equivalent fuel consumption minimization strategy(ECMS),but the total computation time cost of hierarchical control is reduced by 21.7%.

关 键 词：车联网 混合动力汽车 分层控制 预滑动减速控制 改进等效燃油消耗最小策略 

分 类 号：U469[机械工程—车辆工程]