A two-stage dual-model predictive control method for energy management of hybrid electric vehicles

Abstract

The invention discloses a two-stage double-model predictive control method for energy management of a hybrid electric vehicle, comprising: dividing the predictive domain into two consecutive stages, constructing a reduced-order first-order RC model in the first stage, and constructing a pure RC model in the second stage. Internal resistance model; respectively obtain the boundary of the state feasible region of each time step in the two stages, and discretize the state feasible region of each time step; screen the path with the best global cost based on the forward dynamic programming algorithm and obtain its corresponding The optimal state point x at the last time step N * (N) and the optimal control input P transferred from time step N‑1 to time step N e * (N‑1), and reverse recursively in turn to obtain the optimal control input P from the initial state to time step 1 e * (0); with P e * (0) Perform power distribution control as the target output power of the engine at the current moment; then repeat the above steps as the time step scrolls. This method uses a reduced-order high-precision first-order RC model to deal with battery power constraints in the early stage of the prediction domain, and uses a simple pure internal resistance model in the latter stage of the prediction domain, so as to achieve efficient and safe battery life without increasing computational complexity. energy distribution.

Description

technical field [0001] The invention relates to the technical field of vehicle energy management, in particular to an energy management control method of a hybrid electric vehicle. Background technique [0002] Hybrid vehicles can not only greatly improve the fuel economy of the vehicle, but also enhance the power of the vehicle. The power system of a hybrid electric vehicle is mainly composed of an engine, a motor, a battery pack, a control system, and other components. According to whether the battery can be charged through an external power supply, it is divided into two types: plug-in hybrid and non-plug-in hybrid. [0003] A hybrid vehicle has two sets of energy systems (fuel and electric energy). Its energy management improves the working efficiency of the power system by adjusting the output power distribution of the engine and battery, and effectively reduces the fuel consumption of the vehicle. In recent years, model predictive control has been widely used in the f...

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Problems solved by technology

[0004] The present invention provides a two-stage dual-model predictive control method for the energy management of hybrid electric vehicles to solve the problem that the existing energy management control scheme cannot deal with the power constraint of the battery with high precision, which leads to the inability to maximize the fuel saving of hybrid electric vehicles potential problem

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