An Improved Automotive Battery Monitoring System

Abstract

The battery is the primary energy source to be monitored in electric vehicles and their healthy operation. This study analyzes the parameters of lead acid battery. Since Lead Acid (LA) is less efficient than lithium-ion, Lead acid is preferred in power storage systems for its large current capability, cost efficiency and convenience usage. Lead acid batteries are widely used in power storage devices like UPS grid-scale power systems. This paper explains about the battery monitoring system of lead acid in real time aspects. Also, to monitor the discharging rate of lead acid batteries and accomplish self-discharging if needed. Batteries lifetime depends on both charging and discharging. So self-discharging is proposed in this paper to increase the lifetime of battery. SOC and SOD estimation is simulated by using MATLAB Simulink. In addition to this, the development of microcontroller programming for lead acid battery life is performed. Thus, the lifetime of battery can be extended. Here the proposed solution will not only increase the life span but also increases the efficiency of the battery and its operation. The SOC estimation is done using Extended Kalman Filter (EKF) method which is advanced to Coulomb’s counting method. By comparing and using these techniques, the efficient values are plotted and used for analysis. Thus, this paper focuses only on the simulation of the main parameters involved in the battery monitoring system.