并联式混合动力汽车能量管理策略新分类与概述

Novel classification and review on energy management strategy for parallel hybrid electric vehicles

针对混合动力汽车(hybrid electric vehicle,HEV)能量管理策略的分类与综述问题,对并联式HEV能量管理策略的研究现状与发展趋势进行了研究。根据能量管理策略是否使用人工智能控制方式或优化算法,对并联式HEV能量管理策略进行了横向分类和综述,纵向梳理了模糊逻辑、神经网络、动态规划与等效油耗最小原理的具体应用方式,分析了多智能体系统应用于HEV能量管理优化控制的可行性和优势。研究结果表明,智能优化控制型能量管理策略是解决HEV量管理问题的有效途径,而智能优化控制方法和驾驶工况预测技术的有机结合是未来的一个重要研究方向;另外,将多智能体技术应用于HEV能量管理优化控制也是一个值得研究的方向。

Aiming at the classification and summarization of energy management strategy of hybrid electric vehicle, the research status and development trend of energy management strategy for parallel hybrid electric vehicle were studied. State-of-the-art energy management strategies for parallel hybrid electric vehicles were reviewed and reclassified based on the fact that whether an artificial intelligence control methods or an optimization algorithms was used by the control strategy. The specific applications of fuzzy logic, neural network, dynamic programming and Equivalent consumption minimization strategy were also summarized lengthways. Besides, the feasibility and advantages of energy management strategy based on multi-agent system were discussed. The results indicate that the intelligent optimal control strategy is an effective way to solve the HEV energy management problem, and the combination of the intelligent control algorithm and driving condition prediction technology is an important research direction in the future ; In addition, the MAS technology that is applied to HEV energy management optimization is also a direction worthy of studying.