Minimizing Battery Stress during Hybrid Electric Vehicle Control Design: Real World Considerations for Model-Based Control Development

C. Vagg, C. Brace, S. Akehurst, L. Ash
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引用次数: 6

Abstract

In a mild hybrid electric vehicle (HEV) aggressive use of the electrical powertrain is desired to maximize the benefits from hybridizing the vehicle, however this has negative consequences for battery management, battery state of health, and motor temperature. In this paper a control strategy cost function is presented which can minimize these negative effects without significantly affecting the achievable reduction in fuel consumption, and without requiring a detailed battery model or a motor thermal model. This concept is demonstrated on a retrofit HEV unit developed by Ashwoods Automotive, with a model validated using chassis dynamometer test data. Dynamic Programming (DP) is used to optimize the controller, and some limitations of DP which are not often recognized are discussed.
在混合动力汽车控制设计中最小化电池压力:基于模型的控制开发的现实世界考虑
在轻度混合动力汽车(HEV)中,积极使用电动动力系统是为了最大限度地提高混合动力汽车的效益,然而,这对电池管理、电池健康状态和电机温度有负面影响。本文提出了一种控制策略成本函数,它可以在不显著影响可实现的燃料消耗减少的情况下最小化这些负面影响,并且不需要详细的电池模型或电机热模型。这一概念在阿什伍德汽车公司(Ashwoods Automotive)开发的一款改进型混合动力汽车(HEV)装置上得到了验证,该模型使用底盘测功机测试数据进行了验证。采用动态规划方法对控制器进行优化,并讨论了动态规划方法的一些不为人所知的局限性。
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