Intelligent Power Management Control System Modelling for Battery/Supercapacitor Electric Vehicles Using MBSE and SysML

2023 2nd International Conference on Mechatronics and Electrical Engineering (MEEE) Pub Date : 2023-02-10 DOI:10.1109/MEEE57080.2023.10126676

M. Mossadak, Ahmed Chebak, A. A. Elmahjoub

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Abstract

The integration of hybrid energy storage systems (HESS) for Electric Vehicles (EVs) are a promising solution for improving energy efficiency, reliability and battery lifetime of BEV. However, developing a power management control system is needed for sharing the electric power demand between the onboarded sources considering battery lifetime enhancing, driving range increase, and powertrain efficiency while fulfilling the electric power demand. To reduce the risk associated with the development time and cost, the model-based system engineering (MBSE) approach and system modeling language (SysML) are the key to addressing this challenge. This paper aims to present MBSE approach with SysML, which will give guidelines to develop an optimal design for an intelligent power management strategy for battery and supercapacitor EVs while using different diagrams such as: Requirement Diagram (RD), Block Definition Diagram (BDD), Internal Block Diagram (IBD),State Machine Diagram (SMD) and PFMS (Problem, Finality, Missions, System) diagram.

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基于MBSE和SysML的电池/超级电容器电动汽车智能电源管理控制系统建模

集成混合动力储能系统是提高纯电动汽车能效、可靠性和电池寿命的一种很有前途的解决方案。然而，在满足电力需求的同时，考虑到提高电池寿命、行驶里程和动力系统效率，需要开发一种电源管理控制系统来实现机载电源之间的电力需求共享。为了减少与开发时间和成本相关的风险，基于模型的系统工程(MBSE)方法和系统建模语言(SysML)是解决这一挑战的关键。本文旨在介绍基于SysML的MBSE方法，该方法将为电池和超级电容器电动汽车智能电源管理策略的优化设计提供指导，同时使用不同的图，如需求图(RD)、块定义图(BDD)、内部块图(IBD)、状态机图(SMD)和PFMS(问题、最终性、任务、系统)图。

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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来源期刊

2023 2nd International Conference on Mechatronics and Electrical Engineering (MEEE)

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