Intelligent energy management system for hybrid electric vehicle

Abstract

The Electric Vehicles (EV) have emerged as an alternative to Internal newlineCombustion Engine (ICE) vehicles over the recent years so as to minimize the newlineemission of greenhouse gases and adverse impacts on environment and newlinehuman health. However, the standalone electric vehicles faced a setback newlinebecause of poor battery efficiency and reduction in driving range. This led to newlinea hybrid system that combines both electrical system and ICE system for newlinepropulsion. The HEV can be operated in either of Electrical mode or ICE newlinemode or the combination of both. The effective selection of operating modes newlineguarantees better efficiency of a hybrid electric vehicle which can be newlineaccomplished by appropriate Energy Management System (EMS). This thesis newlinedevelops a new model for hybrid electric vehicle with Energy Management newlineSystem and simulates the model using SIMULINK toolbox in MATLAB to newlinevisualize the dynamic variation of key parameters such as vehicle speed, newlinetorque split up, SOC of Battery and power flow details. newline The reference torque split up task forms the heart of the Energy newlineManagement System as this decides the mode of operation of the HEV. In newlinereal time operation of HEV, this task involves vague variables such as newlineacceleration, SOC of battery and torque split up. Hence, this thesis uses Fuzzy newlineLogic Control to accomplish the task which improves SOC of battery and newlineoverall performance of the vehicle. newline