| As car ownership increases year by year,the environmental pollution and energy shortage problems are becoming more and more serious,and countries around the world are developing new energy vehicles to cope with these two problems.Pure electric vehicles have become the most ideal new energy vehicles with their zero pollution and simple structure,but their range is short due to the limitation of battery technology.The add-on electric vehicle not only has the advantages of pure electric vehicle,but also has no range limitation,so it becomes an ideal model for the transition from traditional fuel car to pure electric vehicle.The research object is to assist a well-known automobile company to develop a nonplug-in add-on electric vehicle.According to the project requirements,the selection and matching of the main components of the power system of the add-on electric vehicle and the energy management strategy are studied.The research contents are as follows.Firstly,the architecture of the incremental electric vehicle is analyzed,based on which the drive motor,power battery,engine and generator are selected and matched with the vehicle parameters and dynamics design index.Next,an energy management strategy with improved deterministic rules is designed.By analyzing the traditional deterministic energy management strategy and addressing the problem that it is too idealistic in designing the operating mode switching,an improved deterministic energy management strategy is designed that takes the available power of the vehicle as an influencing factor for mode switching,and the operating modes include pure power,extended range,range extender start and range extender stop modes,and the available drive power module of the vehicle is designed in the strategy,which is applied to torque distribution to prevent the power battery from long-term peak discharge and protect the power battery.Meanwhile,an improved fuzzy control energy management strategy is designed.Through the study of the traditional fuzzy control energy management strategy,in response to its failure to consider the problem of long-term peak discharge of the power battery due to the significant increase of the vehicle demand power during rapid acceleration and hill climbing,an improved fuzzy control energy management strategy is designed with the power battery SOC,vehicle demand power and vehicle speed as the fuzzy control inputs and the range extender An improved fuzzy control algorithm with the power battery SOC,vehicle demand power and vehicle speed as the input and range extender demand power as the output is designed to realize the energy management of the range extender electric vehicle,and the control strategy model is established by MATLAB/Simulink.Finally,the whole vehicle is modeled by CRUISE software and offline joint simulation is performed by integrating the control model.The simulation results show that: the 100 km acceleration time,maximum climbing degree and maximum speed simulation results are in accordance with the power design index,and also show that the matching of the power system components in this paper is reasonable;the economic simulation results show that the equivalent fuel consumption of the whole vehicle is reduced by 4.5% after using the energy management strategy with improved determination rules compared with the thermostat-type energy management strategy.Compared with the fuzzy control energy management strategy designed in the literature [62],the equivalent fuel consumption of the whole vehicle is reduced by 3.1% after using the improved fuzzy control energy management strategy.In addition,the improved fuzzy control energy management strategy reduces the overall vehicle equivalent fuel consumption by 3.5% compared to the energy management strategy with improved deterministic rules.It shows that both control strategies designed in this paper are feasible,and the improved fuzzy control algorithm is superior. |
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