A predictive energy management method for connected hybrid electric vehicles

Abstract

The invention discloses a prediction energy management method of a networked hybrid electric vehicle. The prediction energy management method comprises the following steps that S1, a target vehicle uploads the own driving condition information to a data processing center through a vehicle-mounted terminal device; S2, the data processing center plans an optimal driving path of the target vehicle incombination with the collected road surface information and estimates a complete vehicle speed curve of the target vehicle; S3, the target vehicle receives the information feedback of the data processing center and sends the information feedback to a VCU for optimal energy distribution in combination with the real-time state information acquired by the target vehicle; S4, the VCU performs quick response planning on the received working condition based on a constructed two-layer feedforward neural network model to obtain a corresponding optimal global SoC trajectory; S5, the VCU follows the planned SoC trajectory through an MPC method, and obtaining an approximately optimal fuel economy energy distribution effect at a real-time control level. The method provided by the invention can ensurethat a real-time energy management strategy obtains the globally optimal fuel economy.

Description

technical field [0001] The invention relates to a hybrid electric vehicle, in particular to a predictive energy management method for a network-connected hybrid electric vehicle. Background technique [0002] With the development of society, cars have been widely used in every corner of people's lives. Traditional fossil fuels are the fuel for cars to survive, but traditional fossil fuels will eventually run out. The depletion of energy is not just about losing cars as a means of transportation. , and more seriously, it will affect the ecological balance and threaten the land on which human beings depend for survival. Finding energy that can replace traditional fossil fuels has become the top priority of automobile research in recent years. New energy vehicles have always been a hot spot in automotive research, and hybrid vehicles are the best among new energy vehicles; hybrid vehicles (HEV) refer to vehicles whose drive system is composed of two or more single drive system...

AI Technical Summary

Problems solved by technology

[0003] In the existing HEV energy management strategy, the contradiction between the real-time performance of the strategy and the optimality of the energy-saving effect still cannot be well coordinated. The offline analysis method can calculate the global optimal solution, but its calculation is too complicated It is difficult to apply in real time, and there is still a certain gap between the energy saving effect of the online control method and the optimal goal

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