基于智能体的燃料电池混合动力汽车动力管理研究

Chuansheng Zhang, Guangji Ji, Fengxiang Chen, Tiancai Ma, Su Zhou
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引用次数: 4

摘要

介绍了一种基于智能体的燃料电池混合动力汽车动力管理方法。重点是通过对动力源进行合理的功率分配和制动能量的回收,提高车辆的燃油经济性。智能体作为各装置的监督者,通过相应的控制策略优化装置的输出功率。多智能体以协作的方式协同工作以实现优化目标。以40kW燃料电池发动机和80AH锂离子电池组的燃料电池混合动力汽车为例进行了仿真研究,结果表明,基于智能体的混合动力电源协调控制方案是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of an agent-based power management for fuel cell hybrid vehicles
In this paper, an agent-based power management for fuel cell hybrid vehicles is introduced. The focus is to improve the fuel economy of the vehicle by appropriate power assignment to the power source and braking energy recycle. The agents play a supervisor role of each plant and optimize power output of the plant by corresponding control strategy. Multi-agents work together in a cooperation way to achieve the optimization target. Simulation studies are performed for a fuel cell hybrid vehicle with a 40kW fuel cell engine and a 80AH Li-ion battery pack and results show that the agent-based control scheme is effective to coordinate the hybrid power sources.
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