Technical Paper
A real-time predictive fuzzy energy management based on speed prediction for range extended electric logistics vehicle
2024-04-09
2024-01-2785
Due to the complexity and timeliness of the dual power source control system for range extended electric vehicles, a real-time predictive fuzzy energy management based on speed prediction which can take into account the real-time demand power of auxiliary power unit, the average driving speed and driving distance of future vehicles is proposed for achieving the real-time control. Firstly, in order to improve the topicality and accuracy of the control system, the convolutional neural with network long short term memory neural network algorithm is adopted to predict the future driving speed by extracting the speed features and combining with the adjacent speeds.