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.