Genetic Algorithm Study on Control Strategy Parameter Optimization of Hybrid Powertrain System
Based on the optimization design,the mathematical model of the control strategy parameter optimization taking the minimum fuel consumption as the objective function is established.Then,taking hybrid bulldozer as an example,the genetic algorithm is used to solve the optimization problem.Through optimization,the fuel consumption reduces 4.1%further more compared with conventional bulldozer under the same working condition.Using this method,it is easier to find a set of optimal parameters to shorten the calibrated time of the controller in a real hybrid electric vehicle.
genetic algorithm control strategy parameter optimization hybrid powertrain system hybrid vehicle
SONG Qiang ZHAO Ping
Beijing Co-innovation Center for Electric Vehicles,Beijing,China,100081;Beijing Institute of Technology,Beijing,China,100081
国际会议
重庆
英文
2256-2260
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）