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Analysis of Power Parameter Matching and Control Strategy for Range-Extended Electric Vehicles

Analysis of Power Parameter Matching and Control Strategy for Range-Extended Electric Vehicles

[Abstract]:
The short cruising range and long charging time of pure electric vehicles severely restrict the rapid development of the industry. Adding a range extender consisting of an engine, generator, rectifier, and controller to a pure electric vehicle can solve this problem well.

The short cruising range and long charging time of pure electric vehicles severely restrict the rapid development of the industry. Adding a range extender consisting of an engine, generator, rectifier, and controller to a pure electric vehicle can solve this problem well.

 

 

Before the fundamental problems of pure electric vehicles are resolved, reasonable power parameter matching is essential. A three-step design method is used for structural configuration and parameter matching; a parameter matching method combining engineering analysis and simulation results is proposed; the research considers that the control strategy is a bridge between driver intention and vehicle performance, and a good control strategy can make up for the lack of parameter matching , So that all parts of the car work in a reasonable interval and improve the working life.

 

Common range-extended electric vehicles are mostly used for buses. Buses can propose energy distribution schemes that meet their characteristics according to specific urban cycle conditions. Range extenders make more electric use of the city's power grid to achieve pure electric driving. Operation, reducing fuel consumption and air pollution.

The generation of extended-range electric vehicles has enhanced the overall diversity of new energy vehicles, and is the development direction of new electric vehicles. At present, energy management control methods mainly include logic threshold control, fuzzy control, instantaneous optimization control, and global optimization control. The logic threshold control strategy is clear and simple, and the engineering development cycle is short. It can be combined with the corresponding offline optimization results and engineering experience, and can be used as a control strategy for real vehicles. Fuzzy control, instantaneous optimization control, and global optimization control are also applied. It is used for multi-energy power system control, but because it is too complicated, it is difficult to apply it to real vehicles.

 

Therefore, based on the joint simulation platform of AVL Cruise and Simulink, the entire vehicle is modeled, a logic threshold-based control strategy is formulated in Stateflow, and simulation verification is performed. The simulation results verify that the vehicle's dynamic parameter matching is reasonable and meets the basic Dynamic and economic requirements. The control strategy can make the power battery work in a reasonable range, realize the efficient operation of the range extender, extend the range of electric vehicles, reduce the emission of harmful gases, and significantly reduce the fuel consumption of 100 kilometers compared with existing buses.