摘要
能量管理策略对于提高混合动力电动汽车的燃油经济性、保护系统的健康状态、以及减少温室气体排放具有至关重要的作用,但由于动力系统复杂的非线性结构以及在线应用的实时性要求,开发高效的能量管理策略仍是一项极具挑战性的任务.为此,本文对能量管理技术的研究进展进行了全面的总结.首先,综述目前混合动力电动汽车广泛采用的机电耦合系统,总结各类系统的拓扑结构与运行特点;其次,综合分析近年来能量管理策略的研究进展以及发展趋势;同时从最优性以及实时性等关键技术指标出发,评价各类方法的技术优势与不足,为进一步的工程应用提供参考;最后,展望能量管理技术未来的研究方向,希望为能量管理策略在智能网联环境下的发展提供借鉴.
Energy management strategy(EMS)is critical to improving the fuel economy,protecting the health status,and reducing the greenhouse gas emissions of hybrid electric vehicles(HEVs).However,due to the complex nonlinear structure of the power system and the real-time requirements of online applications,it is still a challenge task to develop an efficient EMS.Therefore,the evolution of energy management technology was summarized completely in this paper.Firstly,the electro-mechanical coupled systems used widely in HEVs and their topological structures and functional features were surveyed.Secondly,the research progress and development trend of EMS were analyzed synthetically.In addition,the technical advantages and disadvantages of various methods were evaluated based on fundamental technical indicators such as optimality and real-time performance,providing a reference for further engineering applications.Finally,the future research trend of EMS was prospected,hoping to provide a reference for the development of EMS under the intelligent connected environment.
作者
何洪文
孟祥飞
HE Hongwen;MENG Xiangfei(National Engineering Research Center of Electric Vehicles,Beijing Institute of Technology,Beijing 100081,China;School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China)
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2022年第8期773-783,共11页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(52172377)。
关键词
混合动力电动汽车
能量管理
机器学习
模型预测控制
能量管理策略
hybrid electric vehicle
energy management
machine learning
model predictive control
energy management strategy(EMS)
