OPTIMIZATION OF RULE-BASED ENERGY MANAGEMENT STRATEGY FOR HYBRID ELECTRIC VEHICLES

SITI NOR MAZIAH BINTI MOHAMAD ZAINI, - (2022) OPTIMIZATION OF RULE-BASED ENERGY MANAGEMENT STRATEGY FOR HYBRID ELECTRIC VEHICLES. [Final Year Project Report] (Unpublished)

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Abstract

Environmental issues have commonly happened until now, caused by fossil fuel burning in the industrial and transportation sectors. The excessive use of energy in the combustion of fossil fuels may cause environmental issues such as Carbon Dioxide (CO2) emission and the contribution of greenhouse gases (GHG). In order to fight the problem of fossil fuel combustion, the automotive industry has developed and implemented electric and hybrid electric vehicles (HEV). It has been proven that HEVs can lower emissions and save gasoline. The significant advantage of using HEV is fuel saving. However, it is not easy to design the appropriate energy management strategies (EMSs) for HEVs. Real-world HEV testing to improve fuel efficiency and battery management proved unattainable due to the extensive programming and other complicated HEV criteria. Hence, this project is conducted to modify and optimize Rule-Based (RB) EMS to increase further the HEV's performance in fuel consumption and battery management at different drive cycles. In this project, the existing HEV model has been modified using MATLAB/Simulink to optimize the RB EMS for HEV by altering the battery charge controller and state-flow RB operation mode. Simulation results have shown that the efficiency percentage of total fuel consumption was improved by 8.09% for Extra Urban Drive Cycle (EUDC) compared to Urban Drive Cycle (ECE R15) by 4.56% and followed by the New European Drive Cycle (NEDC) by 1.02%. For the battery's final State of Charge (SOC), SOC decreased by 5.32% for ECE R15 compared to EUDC by 9.14% at a higher initial SOC. This shows that the optimization increased the efficiency in fuel consumption and battery management.

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