Comparison of Energy Consumption of Different Electric Vehicle Power Systems Using Fuzzy Logic-Based Regenerative Braking
Journal Title: Engineering Perspective - Year 2021, Vol 1, Issue 1
Abstract
One of the disadvantages of electric vehicles that has not yet been overcome is the long battery refueling time. Be-sides studies to shorten the battery refueling time, increasing the driving range is also a solution to this problem. Dif-ferent 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%.
Authors and Affiliations
Tolga Kocakulak, Enes Yurdaer
Keywords
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- EP ID EP693642
- DOI http://dx.doi.org/10.29228/sciperspective.47590
- Views 163
- Downloads 0
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