关键词: 插电式混合动力汽车(PHEV), 工况, 驾驶风格, 耦合影响, 能量回收策略

Abstract: The influences of driving cycles and driving styles on braking energy recovery were analyzed, and a method of braking energy recovery was proposed by considering the coupling effects of driving cycles and driving styles. The pedal signals and velocity signals were collected by the driver-in-loop experimental platform. The driving cycle correction factor α and driving style correction factor β of the braking forces were defined, and their ranges were determined by using normal distribution and t distribution methods respectively, and then, the braking energy recovery strategy was established. The collected data of driving cycles and driving styles were used to train the recognition models of driving cycles and driving styles through learning vector quantization neural network. Finally, a simulation model was established and the braking energy recovery strategy was verified. The results show that the energy recovery efficiency of the braking energy recovery strategy proposed herein is higher, which considers the coupling influences of driving cycles and driving styles, and the economy of the vehicles is improved.

Key words: plug-in hybrid electric vehicle(PHEV), driving cycle, driving style, coupling influence, energy recovery strategy