Online real-time layered energy management method and system for hybrid power vehicle

Abstract

The invention relates to an online real-time layered energy management method and system for a hybrid power vehicle. The method comprises the steps of: obtaining a control MAP of a system control strategy of the hybrid power vehicle; obtaining the current working condition information and system state variables of the hybrid power vehicle; determining a control quantity according to the working condition information and the system state variables by utilizing the control MAP; generating a control track of the system state variables according to the control quantity; and completing energy management of the hybrid electric vehicle according to the control track of the system state variables. By adopting the control MAP, the corresponding control quantity can be determined according to the acquired working condition information and the system state variables of the plug-in hybrid power vehicle, so that the control track of the system state variables is obtained according to the determined control quantity; the energy of the hybrid electric vehicle is managed according to the generated control track, so that the problem of difficulty in online application of a vehicle energy management technology in the prior art is solved while energy distribution stability is improved.

Description

technical field [0001] The invention relates to the field of vehicle energy management, in particular to an online real-time layered energy management method and system for a hybrid vehicle. Background technique [0002] In the energy management technology of plug-in hybrid electric vehicles based on model predictive control (Model Predictive Control, MPC), the quality of the reference trajectory has a great influence on the application effect of MPC. The current research is mainly divided into two types. One is to assume that the accurate working condition information of the vehicle can be obtained in advance through GPS, ITS and other systems. State of State (SOC) is planned in advance, and then this reference trajectory is sent to the lower layer of MPC for tracking control. The main disadvantage of this problem is that in practical applications, the working condition information of the vehicle cannot be accurately obtained, and the upper-level planning needs to combine ...

AI Technical Summary

Problems solved by technology

[0031] The purpose of the present invention is to provide an online real-time hierarchical energy management method and system for hybrid vehicles, so as to improve the stability of vehicle energy distribution and solve the problem of difficulty in online application of vehicle energy management technology in the prior art

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