基于软件在环和硬件在环方法的全电动汽车电池管理系统评估

Matthieu Ponchant, An Li, C. Beckers, M. Paroha
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摘要

西门子工业软件在Simcenter Amesim中开发了详细的电池组模型。该模型说明了电池管理系统(BMS)控制从模型在环(MiL)、软件在环(SiL)到硬件在环(HiL)的开发过程。电池组模型已集成到一个经过验证的车辆模型中,该模型对应于Voltia开发的现有车辆,名为Voltia eVan。这种原本由柴油发动机驱动的轻型卡车已经电气化了。电气化版本已经在埃因霍温理工大学的滚轮工作台上进行了测试。详细描述电池组模型的兴趣在于可以访问多个虚拟温度和电压传感器,从而可以验证可以集成在BMS中的平衡方法。对模型进行了实时分析,以确保模型与BMS的控制约束相兼容。最后,将完整的模型连接到功能BMS,以验证该方法。为此,在MATLAB/Simulink开发的控制模型中实现了几个BMS功能,如充电状态(SOC)估计、电池平衡、充放电和热管理。在SiL环境下的联合仿真得到验证后,将在HiL平台上进行实时测试,以再现真实的电池平衡,并研究充电策略,这是确保电池更长的寿命的关键功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Battery Management System Evaluation within a Complete Electric Vehicle Model with Software-in-the-Loop and Hardware-in-the-Loop Approaches
A detailed battery pack model has been developed within Simcenter Amesim by Siemens Industry Software. The model illustrates the Battery Management System (BMS) control development process from Model in the Loop (MiL), Software in the Loop (SiL) to Hardware in the Loop (HiL). The battery pack model has been integrated in a validated vehicle model, which corresponds to an existing vehicle developed by Voltia, named the Voltia eVan. This originally diesel engine powered light duty trucks have been electrified. The electrified version has been tested on the roller bench at the Eindhoven University of Technology.The interest of detailing the battery pack model is to have access to a multiple virtual temperature and voltage sensors, which allows validating the balancing methodologies that could be integrated in a BMS. A real-time analysis of the model has been conducted to ensure the model is compatible with the control constraint of the BMS.Finally, the complete model has been connected to a functional BMS in order to validate the approach. For that purpose, several BMS functions have been implemented in the control model developed with MATLAB/Simulink, such as the state of charge (SOC) estimation, the cell balancing, the charge/discharging and the thermal management. Once the cosimulation in SiL environment has been validated, a test on HiL platform has been done in real-time condition in order to reproduce realistic cell balancing and to study charging strategies, which are key functions to ensure better lifetime of the battery.
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