Research On Control Strategy Of Energy Management System For Parallel Hybrid Electric Vehicle

The two major challenges facing the automotive industry now is theenvironmental pollution and the energy crisis, the research and development of newenergy vehicles which are beneficial to environmentally protection and energyefficient have become the problem can not be ignored. The hybrid electric vehiclehas become the focus of the world at this time. It not only integrates the advantagesof both of pure electric vehicles and conventional vehicles, but also has the lowerfuel consumption and less emissions, while the car trip range mileage can achieve thelevel of traditional fuel vehicles, and less affordable, it is very suitable for industrialproduction, therefore the world agree the new energy vehicle that it is the mostpromising alternative to conventional vehicles. However, with the development ofthe HEV, it also faces many problems. There are three most significant problems:1)Harmful exhaust emissions must be less.2) The average fuel efficiency of HEVseriously affects the overall performance of the car.3) The influence by the batteryservice life, greatly improving the HEV cost.In this dissertation, in order to slow down these three questions the author hasresearched the power control system of parallel hybrid electric vehicle. In this study,starting from the energy management system, each control unit of PHEV and itscontrol strategy are analyzed, and then the control target is presented. And then theauthor analyses of the torque control and the energy management system of vehicle.Using of electric vehicle simulation software ADVISOR to establish the forwardsimulation model to provide the necessary research and development of vehiclecontrol strategy simulation platform. The author proposes the control strategy thatbased on the genetic algorithm to improve the fuzzy logic control strategy, designslayout scheme for power system control strategy, analyses of the features andfunctionality of the system to complete the design of algorithms and controlstrategies, and the control strategy is embedded into the ADVISOR then simulation test and analysis. The last in order to evaluate the result, the author makes theoptimization theory result that based on dynamic programming control strategy asthe reference standard, and then compared with the strategy that based on the geneticalgorithm to improve the fuzzy logic control strategy and rule based electric assistcontrol strategy, reflect the control strategy proposed in this dissertation is reasonableand superiority.The proposed control strategy can significantly reduce fuel consumption,exhaust emissions, while ensuring that the battery is charged and discharged balance,lead to a significant increase of the overall performance of the car. It shows that thecontrol strategy is reasonable and effective.