Comparison of Energy Consumption of Different Electric Vehicle Power Systems Using Fuzzy Logic-Based Regenerative Braking

Abstract

One of the disadvantages of electric vehicles that has not yet been overcome is the long battery refueling time. Besides studies to shorten the battery refueling time, increasing the driving range is also a solution to this problem. Different energy saving methods have been tried to increase the driving range. Regenerative braking is one of the best energy-saving methods in electric vehicles. Among several different strategies for regenerative braking, in this study, a fuzzy logic-based regenerative braking strategy is applied to ensure the best regenerative ratio for electric vehicles in any braking case. Moreover, three electric vehicles with different powertrains are modeled in MATLAB/Simulink, and their regenerative braking effectiveness is compared. Inputs of this fuzzy logic controller were determined as the vehicle speed, brake pedal position, and state of charge data; also, three different driving cy-cles are utilized for simulation. These models are equipped with REMY HVH250-115 electric motor and a battery with a capacity of 80 kWh. As a result, the energy-saving amounts are ordered from the best to the worst as all-wheel drive, front-wheel drive, and rear-wheel drive configurations. Furthermore, the average energy-saving in the all-wheel drive configuration is calculated as 19.11%, in the front-wheel drive configuration is calculated as 9.38%, and in the rear-wheel drive configuration is calculated as 7.93%.

Keywords

• Electric Vehicles
• Fuzzy Logic
• Regenerative Braking
• Vehicle Modeling
• Powertrain

References

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