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混合动力汽车控制策略的分析与展望

Analysis and Prospect of Control Strategy for Hybrid Electric Vehicle

  • 摘要: 能量控制策略是混合动力汽车的(HEV)核心技术,采用HEV能量控制策略对多能源动力总成及其部件进行协调配合,可提高整车燃油经济性,同时可兼顾优化发动机排放、蓄电池寿命、驾驶性能和整车成本等。HEV能量控制策略可分为基于规则、基于优化和基于智能控制三类,综述不同类型HEV能量控制策略的研究应用现状,分析其优势与不足。结果表明:基于规则的能量控制策略早期被广泛应用于实车;基于优化的能量控制策略是当前研究的主体;对于基于智能控制策略,多智能体技术的引入为HEV控制策略提供了一种新的研究途径。不同改进型优化控制算法、基于智能交通的精准预测技术与多智能体技术相结合是HEV控制策略未来的发展方向。

     

    Abstract: Energy control strategy is the core technology of hybrid electric vehicle (HEV). The energy control strategy of HEV is employed to coordinate the multi-energy power train and its components, which can improve the fuel economy of the whole vehicle. Meanwhile, the requirements of engine emission, battery life, driving performance and vehicle cost can be considered. The energy control strategies of HEV can be divided into three categories:rule-based, optimization based and intelligent control. The research and application status of different types of HEV energy control strategies were summarized, and their advantages and disadvantages were analyzed. The results show that the energy control strategy based on rules is widely used in real vehicles in the early days. Energy control strategy based on optimization is the main body of current research. In the research of intelligent control strategy, the introduction of multiagent technology provides a new research approach for HEV control strategy. The future development direction of HEV control strategy is the combination of different improved optimization control algorithms, accurate prediction technology based on intelligent transportation and multiagent technology.

     

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