A Stochastic Dynamic Programming Energy Management Strategy Optimization Method Based on Narrowing SoC Feasible Region

Abstract

The invention discloses a stochastic dynamic programming (SDP) energy management strategy optimization method based on reduction of a feasible region of the stage of charge (SOC). The SDP energy management strategy optimization method comprises the following steps: 1, based on a DP algorithm, first SOC optimal trajectories under various working conditions are obtained, under the limited time domain, based on the SDP algorithm, second SOC optimal trajectories under the various working conditions are obtained, and distance difference values of corresponding state points on the first SOC optimaltrajectories and the second SOC optimal trajectories at the same moment under the various working conditions are calculated; S2, based on the DP algorithm, an SOC optimal trajectory region representing the optimal fuel economy under the various working conditions is obtained; and S3, a width value of the SOC optimal trajectory region under the various working conditions is calculated, and according to the width value, the distance difference values and the first SOC optimal trajectories, the feasible region of the SOC is obtained. According to the SDP energy management strategy optimization method based on reduction of the feasible region of the SOC, the number of the state points needing to be searched in the algorithm operation process can be decreased, and thus the calculation efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of vehicle energy management, in particular to a stochastic dynamic programming energy management strategy optimization method based on narrowing the SOC feasible region. Background technique [0002] Facing the increasingly severe energy situation and environmental protection pressure in the world, the development of new energy vehicles has become an important strategy for the sustainable development of society and a new growth point of the market. As a kind of new energy vehicle, gasoline-electric hybrid vehicle has relatively mature technology and good market development prospects, and has become the best way to transition from traditional vehicles to new energy vehicles. As a new type of multi-energy vehicle, the performance of a hybrid electric vehicle (HEV) is closely related to its energy management and control strategy. How to determine the working mode of the vehicle based on the predicted road con...

AI Technical Summary

Problems solved by technology

Although the stochastic dynamic programming method solves the problem that the dynamic programming needs to know the global operating condition information of the vehicle in advance, its practical application is often limited by the computational efficiency of the algorithm, whether it is a finite time domain SDP or an infinite time domain SDP control strategy.

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