A Feedback Hierarchical Operation based Energy Management Strategy for Hybrid Electrical Vehicle

Yubo Zhang, L. Gao, Fangyuan Li
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Abstract

Energy management strategy (EMS) is a key element for the total cost of hybrid electric vehicle (HEV). The total cost is composed of fuel and electric energy consumption of the HEV. In order to improve the economy of the vehicle significantly, the start-up cost of the internal combustion engine (ICE) and electric motor (EM) need to be considered adequately when studying the EMS. But, start-up cost is dependent on time, which makes it difficult to apply dynamic programming (DP) to the EMS. To make the start-up cost relatively easy to handle, the HEV control problem is converted to an optimal switch problem in this paper. Then, we proposes a feedback hierarchical operation (FHO) algorithm, which can get optimal schedule of HEV. In the end, simulations are presented to verify the effectiveness of the FHO algorithm.
基于反馈分层操作的混合动力汽车能量管理策略
能源管理策略(EMS)是决定混合动力汽车(HEV)总成本的关键因素。总成本由混合动力汽车的燃料和电能消耗组成。为了显著提高车辆的经济性,在研究内燃机(ICE)和电动机(EM)的启动成本时需要充分考虑。但由于启动成本具有时间依赖性,使得动态规划方法难以应用于环境管理系统。为了使启动成本相对容易处理,本文将混合动力汽车控制问题转化为最优开关问题。在此基础上,提出了一种反馈分层操作(FHO)算法,该算法可以得到混合动力汽车的最优调度。最后通过仿真验证了FHO算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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