Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles

This study investigates the influence of considered Electric Equivalent Circuit Model (ECM) parameter dependencies and architectures on predicted heat generation rate by using Bernardi equation. For this purpose, whole workflow, from cell characterization tests to identification finally validation studies, is examined a cylindrical 5 Ah LG217000 Lithium-Ion-Battery (LIB) with nickel manganese cobalt chemistry. Additionally, different test procedures are compared respect their result quality. identification, Matlab tool developed enabling user generate all necessary ECMs in one run. The accuracy evaluated comparing voltage prediction experimental simulation results for highly dynamic World harmonized Light vehicle Test Cycle (WLTC) at states charges (SOCs) ambient temperatures. show that such as hysteresis current neglectable, if only compared. Considering prediction, however, neglection can mispredictions up 9% (current) or 22% (hysteresis) hence should not be neglected. Concluding results, recommends Dual Polarization (DP) Thevenin ECM considering except charge/discharge dependency thermal modeling LIBs.