Estimation of Automotive li-ion Battery Parameters Using MATLAB Simulink

Abstract

Abstract: Electric Vehicles have seen a great boon of improvement over the last couple of decades. The evolution of these vehicles has led to greater changes in battery packs being utilized for the improvement of the performance of EVs, this has created a need for greater Battery Management Systems. Battery monitoring is vital for most Electric Vehicles (EVs) for greater executions and safety of the occupants. The project presented in this book focuses on estimation of Lithium Ion Battery Parameters using MATLAB Simulink software for 2022-Nissan LEAF Electric Vehicle. Battery management system (BMS) is an integral part of the electric vehicle (EV) and the hybrid electric vehicle (HEV). The BMS performs the tasks by integrating one or more of the functions, such as sampling the voltages of the battery cells and the temperatures in the battery module, sampling the current of the battery as well as cells balancing and determining the state of charge (SOC). In this project the research of the cells voltage sampling , battery temperature sampling, battery voltage sampling, battery current sampling and battery pack balancing will be discussed. The method of sampling cell voltage, battery temperature and cell balancing using a special logic circuit in MATLAB Simulink will be presented. This method resolves the problems of sampling cell parameters and balancing in the li-ion battery, which has hundreds of cells. We will be discussing two systems, in which one focuses on the Nissan LEAF battery pack parameters, and the other will focus on Nissan LEAF cell parameters.