Lead-Acid Battery Modelling For Parameter Estimation, Simulation And Real-Time Verification For Electric Vehicle Application

Document Type : Primary Research paper


1 Assistant professor, EEE Department, PSG College of Technology,Coimbatore, Tamil Nadu, India.

2 M.E Embedded and Real-Time Systems, EEE Department,PSG College of Technology, Coimbatore, Tamil Nadu, India.


The lead-acid battery is known for deep discharge cycle and load balancing capability since a long time and even today an intensive study goes on. Because of the economic interest to use lead-acid battery in the automotive industry mostly in Electric Vehicle Applications. Researchers give more important to lead-acid battery than lithium-ion battery. Monitoring SoH (State of Health) of a battery is complicated because of the electrochemistry system and non-linear behavior related to internal and external conditions and also SoH recovery and predicting SoH behavior is critical aging of batteries.There are major criterions and computational limitations for development of SoH and predicting behavior of lead-acid battery. Also estimating the battery parameters theoretically is risk factor and variations when comparing theoretical and simulation results of battery model. Major objectives are modeling lead-acid battery using effective Equivalent Circuit Models (ECM) and also estimating parameters of the battery model by using first-order and second-order, by determining how good the batter is under charging and discharging states. For this estimation several load tests are taken to compare with theoretical calculations.Finally comparing and analyzing theoretical calculations with simulation results and Real-Time behavior of lead-acid battery to match results approximately. The lead-acid battery modeling and battery parameter estimation are validated by simulation using MATLAB/Simulink.