Battery Modelling and Performance Analysis of Time-Varying Load Using Simulink

In recent years, each area has emerged with autonomous capabilities such as vehicular navigation, aquaculture, and industrial appliances. Especially, in the field of vehicular transportation, power is the main constraint for autonomous operations. The battery is the main source of energy or power storage. Especially, rechargeable batteries are potentially utilized as energy storage systems due to their high energy density. However, battery modelling is an indispensable tool for designing a real-time battery management system (BMS) that estimates the run-life time of autonomous battery power systems. In this paper, an easy-to-use battery Simulink model with time-varying dynamic load has been designed as a tool for all autonomous vehicles to estimate the State of Charge (SOC). This proposed model comprises a Controlled-Voltage source in series with internal resistance and time-varying resistive load. The proposed model differs from the ideal model by 0.01 (1%) and mirrors the general behaviour of the ideal model. The performance analysis of both the ideal and proposed model is evaluated by Root Mean Square Error (RMSE) which must be less than 0.4 to accept the battery model. However, the proposed model achieved the RMSE value of 0.1 and estimates SOC which is widely acceptable.