Lithium-ion battery pack modeling using accurate OCV model: Application for SoC and SoH estimation

Abstract

In our day the use of Lithium ion battery has considerably increased, especially to feed light electrical vehicle (LEV) application. These types of batteries need careful attention to avoid deep discharge and overcharge. Therefore, a battery management system is mandatory for the real-time monitoring of their main parameters i.e state of charge (SoC) and state of health (SoH). On the other hand, since these batteries have chemical structure, they need careful modeling of their internal reaction, some methods use electrical battery modeling. This paper proposes an advanced model of battery pack suitable for the estimation of SoC and SoH. It allows the emulation of electrical parameters' variation such as the Open Circuit Voltage (OCV) model as well as the thermal effect and balancing process. Simulation results are given and compared to former research works to emphasize the completeness of the proposed model.