Intelligent Temperature Controller for Energy Storage System in Electric Vehicle Applications
Publication Name
2021 IEEE 6th International Conference on Computing, Communication and Automation, ICCCA 2021
Abstract
Today, studies on battery tech in electric vehicle (EV) applications is growing rapidly in order to tackle the concerns of global warming and carbon emissions. The efficiency of EVs is dependent on precise measurement of essential factors in addition to the appropriate battery storage system performance based on its thermal management. Therefore, this paper discusses about the performance of lithium-ion battery with different types of controllers for EV which are proportional, integral and derivative (PID) controller and Fuzzy Logic controller (FLC). Based on the simulation that has been carried out using MATLAB/Simulink, the implementation of FLC helps in increasing the output response of battery compared to not using the controller or by using the PID controller. The results of FLC shown better performance than PID in which percentage overshoot of FLC is (0.501%) lesser than PID controller (8.152%). The comparison of the controllers is carried out in order to deploy the best controller of the battery thermal management system for the EV. Obtained results also show that the increased temperature effect the battery state of charge (SOC) which might deteriorate the EV performance.
Open Access Status
This publication is not available as open access
First Page
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Last Page
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