Virtual Battery Pack-Based Battery Management System Testing Framework

The battery management system (BMS) is a core component to ensure the efficient and safe operation of electric vehicles, practical evaluation key BMS functions thus great importance. However, testing with actual packs suffers from poor repeatability long status transition time due uncontrollable degradation systems environment variations. In this paper, overcome challenge, we propose an framework that uses virtual rather than ones, enabling rapid accurate BMSs functions. A series-connected pack model through leveraging Copula’s method formulated capture dynamics inconsistency individual batteries in pack. developed lithium iron phosphate features low computational efforts experimentally validated different dynamical profiles, implying high-precision capable reproducing one. Furthermore, includes closed-loop platform, which can provide state-of-charge/state-of-power references automatically test evaluate states estimated BMS. Particularly, consider initial polarization often exists during accurately calibrate available state-of-power benchmark real world. performed results using proposed illustrate tested cannot adapt varied conditions, leading high state estimation errors, may result over-charge/discharge or over-temperature batteries. Therefore, work highlights value effective testing, providing promising potential achieve reliability durability for systems.