Parameter Optimization And Energy Recovery Research Of A Pure Electric Vehicle

The energy crisis and environmental problems have tested the development of contemporary auto industry seriously. The conventional internal combustion engine vehicle has not been able to meet the word’s contemporary requirement in energy saving and emission reduction. Countries all over the world have been paying their attention to pure electric vehicles. As a kind of zero-emission automobile, pure electric vehicle is automobile’s future development direction. Our country has also treated it as a long-term strategic development goal. Due to the limited electric quantity carried by the storage battery, the driving mileage restricts the popularity of pure electric vehicle. Aimed at increasing the driving mileage, in this paper, we optimize a pure electric vehicle’s parameter of the power train and design the regenerative braking control strategy.The paper’s research object is a pure electric vehicle, which is trial-produced and developed by Nan Yang Auto and Motorcycle Group. Under the premise of meeting the design requirement, it discusses the driving mode, selects the power components and match the parameter, chooses the full-featured software CRUISE, which is convenient to model and with high simulation precision, as the simulation platform. It establishes the vehicle simulation model, analyzes the simulation results and verifies the rationality of match, thus laying a foundation for the subsequent research.The paper optimizes the parameter of the power train, which is nonlinear constrained, to make the motor operate in high efficiency field and increase the driving mileage, chooses software iSIGHT as an optimization tool, establishes the dynamic and economic bi-objective optimization function and its corresponding constraint condition, Seeks the optimum solution of the objective function using the advanced artificial intelligence optimization algorithm NSGA-II and analyzes, selects the solution of Pareto.It analyzes various brake feedback means, compares various types’ advantages, disadvantages and range of applications. Taking the pure electric vehicle’s market positioning as a principle, the paper mainly considers the ride comfort of the passengers to convenient for the marketing. It chooses the feedback means based on the ideally distributed braking force, applies Stateflow, based on finite state machine in Simulink, to achieve different braking intensity transition in braking feedback, embeds the mole in the software CRUISE, carries on simulation analysis under typical cycle conditions, calculates the braking energy recovery rate and verifies the validity of the model.