The accelerated growth of Electric Vehicles (EV) latterly demands effective energy storage systems, highly reliable electronics, and controllers. Li-ion batteries are prevalently used in EVs due to their high energy density, low self-discharge, better temperature performance, and efficiency. Nevertheless, the abuse of these has a severe impact and can lead to dangerous circumstances, posing a threat to the vehicle and the consumer as well. A Battery management system (BMS) is a set of electronic components with functions that play a significant role in monitoring, controlling, and safeguarding the battery pack against critical parameters, thus extending the lifespan of the battery. Due to the paramount importance of this embedded system, testing of the BMS prior to usage in the vehicle is indispensable. Testing of BMS in an assembled condition with the battery pack is desirable as it ensures examination closer to real world conditions. However, the challenge of testing critical scenarios is of high risk, significant cost and time demanding a comprehensive testing. Hardware-in-the-Loop (HIL) testing is a powerful platform that simulates an actual working environment for the Device Under Test (DUT) by providing all the necessary input signals. As the entire system contributes to the vehicle attributes, signal level HIL testing of BMS is highly dependable, cost-effective, and safer, especially for operation beyond normal constraints and fault insertion examinations. A scalable Li-ion battery model built using MATLAB/Simulink is converted to C code and executed by the Real-time Operating System (RTOS) to exactly reflect the battery and the inputs are applied at signal level by the HIL simulator to examine the behavior of the BMS under different conditions. In this paper, the capabilities of model-based Hardware-in-Loop testing of BMS at the signal level to optimize control and ensure functional reliability of the BMS are discussed. The cell simulator is used to replicate battery over regular power supply as it allows flow of current in both the directions and the application of inputs at signal level makes testing critical scenarios feasible.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Model-based Hardware-in the-Loop Testing of Battery Management System


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    P, Abilash (Autor:in) / NK, Jeevan (Autor:in) / Vavilapalli, Kurmarao (Autor:in) / V, Preetha (Autor:in)

    Kongress:

    10TH SAE India International Mobility Conference ; 2022



    Erscheinungsdatum :

    2022-10-05




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Hardware-in-the-loop test of battery management systems

    Haupt, Hagen / Plöger, Markus / Bracker, Jörg | Tema Archiv | 2013


    Hardware-in-the-Loop Test of Battery Management Systems

    Haupt, Hagen / Bracker, Joerg / Ploeger, Markus | SAE Technical Papers | 2013


    Hardware-in-loop verification of battery management system with RT-LAB

    Shuaijun Wu, / Yijun Zou, / Xin Peng, et al. | IEEE | 2014



    Improving Hardware-In-The-Loop Testing

    Schroeder, Kurt / Robenson, Joseph | AIAA | 2005