Hybrid MPC energy management method for parallel hybrid electric vehicle

Abstract

The invention discloses a hybrid MPC energy management method for a parallel hybrid electric vehicle. The hybrid MPC energy management method specifically comprises the following steps: modeling the parallel hybrid electric vehicle; predicting a vehicle speed based on data driving; enabling the hybrid model to predict an energy management strategy. According to the method, the influence of gears on a hybrid electric vehicle model is considered, an engine fuel consumption model and a battery model are constructed by adopting a segmented affine technology, the unification of the models is achieved, and a foundation is laid for designing a hybrid MPC energy management method; and the influence of vehicle speed change on energy management optimization is considered. The BP neural network algorithm is used for predicting the vehicle speed in the prediction time domain, the power demand of the vehicle in the prediction time domain is calculated and applied to the hybrid MPC, collaborative optimization of torque distribution and gear shifting decision is achieved, the working condition adaptability of the hybrid MPC is improved, and the fuel economy is better.

Description

technical field [0001] The invention belongs to the field of new energy vehicles, and in particular relates to a hybrid MPC energy management method for a parallel hybrid electric vehicle. Background technique [0002] Hybrid vehicles are usually driven by two or more power sources, and through the coordinated distribution and control of different power sources, the performance of the entire vehicle system can be improved and improved. Compared with traditional internal combustion engine vehicles, the driving system of hybrid electric vehicles is more complex, with nonlinear, multivariable, time-varying and other characteristics, which increases the difficulty of energy distribution. Demand energy management is a hot and difficult point in the field of hybrid electric vehicles. It is the core technology of hybrid electric vehicles. It directly determines the fuel economy, power and driving performance of the vehicle, and is very important for improving the economy and effici...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing literatures focus on the design of MPC energy management strategies for hybrid HEVs, and seldom involve the collaborative optimization of shift decision and torque distribution; moreover, MPC uses the data of standard cycle conditions, does not predict the vehicle speed, and does not consider the vehicle speed Forecasting impact on energy management optimization

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