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All Journal Mechatronics, Electrical Power, and Vehicular Technology
Harutoshi Ogai
Graduate School of Information, Production and Systems, Waseda University
Electrical & Electronics Engineering

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Prediction Model of Battery State of Charge and Control Parameter Optimization for Electric Vehicle Bambang Wahono; Kristian Ismail; Harutoshi Ogai
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 1 (2015)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2015.v6.31-38

Abstract

This paper presents the construction of a battery state of charge (SOC) prediction model and the optimization method of the said model to appropriately control the number of parameters in compliance with the SOC as the battery output objectives. Research Centre for Electrical Power and Mechatronics, Indonesian Institute of Sciences has tested its electric vehicle research prototype on the road, monitoring its voltage, current, temperature, time, vehicle velocity, motor speed, and SOC during the operation. Using this experimental data, the prediction model of battery SOC was built. Stepwise method considering multicollinearity was able to efficiently develops the battery prediction model that describes the multiple control parameters in relation to the characteristic values such as SOC. It was demonstrated that particle swarm optimization (PSO) succesfully and efficiently calculated optimal control parameters to optimize evaluation item such as SOC based on the model.
Co-Authors Bambang Wahono Kristian Ismail