The invention provides an energy management method of a hybrid electric vehicle based on power spectrum self-learning prediction. The energy management method comprises the following steps: step 1, calculating current driving demands of the vehicle, and identifying current calendar time, moment and the like; step 2, receiving the information about a future running route and a future running direction of the vehicle, climatic information and the information about whether the current day is a workday or not; step 3, making similarity judgment on future running conditions and corresponding records in a self-learning power-spectrum database; step 4, executing an energy management strategy based on rules; step 5, performing power-spectrum prediction, and power control and energy management of the hybrid electric vehicle based on a self-learning power spectrum; step 6, establishing a power-spectrum database based on self-learning; and step 7, outputting a control-instruction rotating speed or torque to a power supply module so as to realize power control and optimal energy management. The energy management method overcomes the defects existing in a conventional energy management strategy of a hybrid electric vehicle, realizes the self-adaption optimal energy control for the working conditions of the hybrid electric vehicle, and is liable to be applied to a real vehicle.
Energy management method of hybrid electric vehicle based on power spectrum self-learning prediction
16.12.2015
Patent
Elektronische Ressource
Englisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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