Abstract
This study proposes a variable domain three-point energy management strategy (VDT-PEMS) for range-extended electric vehicles (R-EEV), which focuses on achieving energy conservation, emission reduction, and battery life extension through the refinement of the auxiliary power unit (APU) variable operation domain and targeted parameter adaptive adjustment. The strategy divides the power interval into variable domain three-point and APU system operates at constant speed and variable torque to achieve effective tracking of the required power. And further designed an adaptive parameter optimization module, which adaptively adjusts the variable domain power coverage of the working area at various speeds based on fuzzy controller, enabling the APU system to more flexibly cope with complex and changing working conditions. And improving the adaptability and stability of the system by refining the variable operating range of APU and implementing targeted parameter adaptive adjustment, dynamic optimization of the working mode strategy has been achieved. Subsequently, the study aimed to solved the multi-objective optimization problem, VDT-PEMS was designed to combines offline optimization based on particle swarm optimization algorithm and online adaptive parameter optimization module. A series of simulated pareto solution sets were used for comparative analysis and initial parameter calibration. The results showed that the optimization results under a single objective cannot achieve the optimal comprehensive performance, and the proposed VDT-PEMS significantly improves fuel economy and reduces emissions. The effectiveness and feasibility of the proposed strategy were verified through bench testing. The discovery provides important theoretical basis for the management and maintenance of power batteries, which helps to better protect batteries and extend their service life in practical applications.
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