Optimization of Hybrid Vehicle Drivetrain with Genetic Algorithm using Matlab and Advisor

Milan Biroš, Karol Karol, Karol Karol
2017 Journal of Engineering Science and Technology Review  
Advantages of hybrid vehicles over pure electric vehicles are obvious and well-known. The paper presents a simulation study of the optimization of hybrid propulsion drivetrain. A vehicle model was optimized in order to scale drivetrain components to achieve better fuel economy and lower greenhouse emissions. A set of ADVISOR data for vehicle was optimized by genetic algorithm in Matlab. Simulation results show significant fuel economy improvement.
doi:10.25103/jestr.103.06 fatcat:lfcub5aqwbcvzhhwueoqvotj5i