Research On Power Control Strategy Of Parallel Hybrid Vehicle

Since the beginning of the21st century, the rapid development of science and technology,the development of the automobile industry is gradually maturing. Traditional fuel vehicleswith high fuel consumption and exhaust emissions seriously been unable to meet the dailyneeds of consumers, a new type of hybrid vehicles is becoming the mainstream of the autoindustry.The hybrid vehicle is added to the drive system of the conventional internal combustionengine vehicle in the two components of the motor and battery so that the car driver is morediverse, and the main driving mode of the engine drive mode, the motor drive mode and thehybrid drive mode. In the course of the study of the hybrid car, engine, motor and batteryenergy system, and how to allocate the demand for cars in the process of moving torque is thefocus of the study, this allocation needs torque called energy control strategy papers to theenergy system of the parallel hybrid electric vehicle study, carried out in-depth research on theenergy of the system control strategy, energy control strategy plays a decisive role in the car’sfuel consumption and exhaust emissions.The papers detailed analysis parallel hybrid electric vehicle energy control strategyinadequacies exist in the control strategy for energy research at home and abroad to determinethe overall direction of the paper, the domestic hybrid vehicles fuzzy logic control strategyadded to the neural network algorithm, the system for different cycle conditions for differentroad conditions, neural network learning algorithm, to develop the optimal fuzzy control rules,the entire energy control system with self-learning and adaptive function in fuzzy neuralnetwork control strategy to optimize the efficiency of the engine and the motor, and the use ofbattery recycling excess energy, improve energy efficiency, energy control system based onfuzzy neural network simulation thesis Advisor2002car simulation software model andsimulation, analysis by comparing the simulation results with conventional fuzzy logic controlstrategy validation fuzzy neural network control strategy has certain advantages in lower fuelconsumption and reduce emissions, fuzzy neural network control for further research thestrategies laid a solid foundation.