Energy management method of hybrid electric vehicle based on power spectrum self-learning prediction

Abstract

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.

Description

technical field [0001] The invention relates to hybrid electric vehicle energy control technology, in particular to a hybrid electric vehicle energy management system and method based on power spectrum self-learning prediction. Background technique [0002] Hybrid electric vehicles (including plug-in hybrid electric vehicles) have become the focus and focus of global development, powered by two energy sources. How the energy management system coordinates and distributes the energy flow between various energy sources is the key to realize the optimal energy management of hybrid electric vehicles and solve the problem of adaptability to its working conditions. [0003] At present, the energy management of hybrid electric vehicles mostly adopts the rule-based energy management strategy, which is a strategy based on a set of rules to realize the energy management of the vehicle. , but it is difficult to realize the optimization of control parameters and self-adaptation to worki...

AI Technical Summary

Problems solved by technology

The adaptive energy management strategy based on optimization algorithm is an energy management strategy with the goal of adapting to working conditions. The existing methods require accurate mathematical models of vehicles and multi-energy hybrid systems, and the optimization process is complex and computationally intensive. Impossible for practical application in hybrid vehicles

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