48V Electric Vehicle Powertrain Optimal Model-based Design Methodology

Kazusa Yamamoto, Matthieu Ponchant, F. Sellier, T. Favilli, L. Pugi, L. Berzi
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引用次数: 2

Abstract

Battery autonomy and drive range of Electric Vehicles could be improved by smart control of the power flows requested by equipped systems. In this paper, the authors propose two energy-saving strategies, acting respectively in the electric driveline consumption minimization and in the auxiliary power allocation policy. Developed solutions aim at the reduction of the power demand, both concerning e-powertrain and sub-components, not directly related to traction purpose, enhancing corresponding driveability distance. Evaluation of the result is done through a model-based approach, using a concept e-car proposed by Valeo and implemented in a co-simulation environment, between Amesim and Simulink. The investigated methodology appears as a useful tool for the optimal design of the vehicle sub-system and component.
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基于模型的48V电动汽车动力总成优化设计方法
通过智能控制配备系统所需的功率流,可以提高电动汽车的电池自主性和行驶里程。本文提出了两种节能策略,分别在电力传动系统消耗最小化和辅助功率分配策略上发挥作用。开发的解决方案旨在降低电力需求,既涉及电子动力总成,也涉及子部件,与牵引目的没有直接关系,提高相应的驾驶距离。结果的评估是通过基于模型的方法完成的,使用法雷奥提出的概念电动汽车,并在Amesim和Simulink之间的联合仿真环境中实现。所研究的方法为车辆子系统和部件的优化设计提供了有用的工具。
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