Design of Optimal Controller for Parallel Hybrid Electric Vehicle Based On Shortest Path Algorithm

Pratama Mahadika, Aries Subiantoro
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Abstract

Increasing fuel price has forced automotive manufacturers to innovate in increasing fuel efficiency. Hybrid vehicles, especially Parallel Hybrid Electric Vehicle configuration have been proven to be able to improve fuel efficiency. The main key in term of fuel efficiency of hybrid vehicles is the controller of the Energy Management System (EMS) that manages the performance of the engine and motor so that the vehicle can work in the optimal working range. In this paper, the controller is designed by using shortest path algorithm to find control sequences with the most efficient cost to finish a drive cycle. Because the controller purposed in this paper is using open loop model, then this method can be used as a benchmark to be compared with another method. The result of this study is this method can be used to control EMS of parallel hybrid car efficiently.
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基于最短路径算法的并联混合动力汽车最优控制器设计
不断上涨的燃油价格迫使汽车制造商在提高燃油效率方面进行创新。混合动力汽车,特别是并联混合动力汽车的配置已被证明能够提高燃油效率。混合动力汽车燃油效率的关键是能源管理系统(EMS)的控制器,该系统对发动机和电机的性能进行管理,使车辆在最佳工作范围内工作。本文采用最短路径算法设计控制器,寻找成本最高的控制序列来完成一个驱动周期。由于本文所设计的控制器使用的是开环模型,因此可以将该方法作为基准与另一种方法进行比较。研究结果表明,该方法可以有效地控制并联混合动力汽车的电磁干扰。
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