Battery Temperature-Aware EV Drivetrain Energy Management System

Energy Management Systems (EMSs) are a widely researched topic due to their crucial role in Electric Vehicles (EVs) as the component responsible for making sure that energy is being used in the most efficient way possible. In addition, EMSs are being designed to reduce stress on the Energy Storage System (ESS) by preventing excessive power draw or overcharging, which helps in prolonging good battery State of Health (SOH). This work proposes a Fuzzy Logic Controller (FLC) based temperature-aware Energy Management System. This EMS takes the EV battery bank temperature and State of Charge (SOC) level as inputs to impose a variable limit on the EV performance through throttle-rate control, while aiming to have minimal effects on motor speed regulation. This approach helps in reducing battery SOC degradation, and reduces heat generation in the battery, especially at low SOC levels. A Li-ion battery-powered, Direct Current (DC) motor drive system is used to test the performance enhancement of the EMS through various simulation scenarios. However, the developed EMS can be used with any type of electric motor. Simulation results show improvements in efficiency and reduced battery surface temperature, which leads to increased driving range and extended battery longevity as compared to the drive system operating without the proposed EMS.