Global Adaptive Energy Management of PHEV Based on Energy Consumption Prediction of Planned Paths
何华强 1张俊 2王宁 3李玉芳 2王伟平 3王宇航2
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作者信息
1. 南京航空航天大学能源与动力学院,南京 210016;北汽重型汽车有限公司,常州 213000
2. 南京航空航天大学能源与动力学院,南京 210016
3. 北汽重型汽车有限公司,常州 213000
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摘要
新能源汽车智能化能量管理是先进汽车技术研究的重要领域,是进一步提升整车燃油经济性能的关键.针对插电式混合动力汽车(Plug-in hybrid electric vehicle,PHEV)能量全局化管理与控制的实时性和最优性难以兼顾的难题,开展了基于能耗预测的全路径自适应能量管理研究,提出了以等效燃油消耗最小化为目标的全规划路径PHEV自适应控制算法.最后,基于MATLAB/Simulink的建模与仿真分析验证了所提控制算法对实际行驶工况、里程和整车能量状态的变化具有较好的跟随性和自适应性,全路径近似全局性优化控制效果明显,较好地改善了整车的燃油经济性.
Abstract
Intelligent energy management of new energy vehicles is an important topic of advanced automotive technology research,and is critical to further improve the fuel economy performance of the entire vehicle.Aiming at the challenge of considering both real-time and optimal capabilities for global energy management and control of plug-in hybrid electric vehicle(PHEV),this paper studies full trip adaptive energy management based on energy consumption prediction.An adaptive equivalent fuel consumption minimum control algorithm for full-trip PHEV is proposed.Finally,MATLAB/Simulink modeling and simulations are conducted,and the results show that the proposed control strategy has good followability and adaptability to the changes of actual driving conditions,driving mileage and automobiles'energy states.The approximate global optimization control has good effects on the full path,and the fuel economy of the vehicle is significantly improved.
关键词
插电式混合动力汽车/规划路径/能耗预测/全局自适应能量管理/燃油经济性
Key words
plug-in hybrid electric vehicle(PHEV)/planned path/energy consumption prediction/global adaptive energy management/fuel economy
维普
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