Energy prediction based energy management method of plug-in hybrid electric vehicle

Abstract

The invention provides an energy prediction based energy management method of a plug-in hybrid electric vehicle. The method comprises the following steps: vehicle running route information is transmitted to a remote monitoring platform; the remote monitoring platform calculates out road vehicle weather data; the remote monitoring platform transmits the road vehicle weather data to a hybrid control unit (HCU); the HCU obtains state of charge (SOC) of a storage battery through a CAN bus; the energy demand of a vehicle running condition section is predicted through a neural network; a SOC reference trajectory is planned online; the automatic tracing optimal equivalence factor of the SOC reference trajectory is calculated out; the demand power of the vehicle and the current speed of the vehicle are calculated out; the optimal control vector is calculated out according to table look-up based on principle of minimum; all power sources in a hybrid power system are ordered so as to realize energy optimization control. Through the method disclosed by the invention, the approximate energy optimization control of the hybrid electric vehicle is realized, and the method has the characteristics of being self-adapted to conditions, good in economy, and easy to realize on actual vehicles.

Description

technical field [0001] The invention relates to an energy control technology for a hybrid electric vehicle, in particular to an energy management method for a plug-in hybrid electric vehicle based on energy 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 strategies of hybrid electric vehicles can be divided into four categories: rule-based energy management strategies, instantaneous optimal energy management strategies, global optimal energy management strategies and adaptive energy management strategies based on optimization algorithms....

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects in the prior art, the purpose of the present invention is to provide a plug-in hybrid electric vehicle energy management method based on energy prediction, which can effectively solve the problem that the current energy management strategy of hybrid electric vehicles cannot adapt to the vehicle operating conditions, Moreover, it can meet the requirements of real-time control of the vehicle, so as to realize the self-adaptive energy management of the hybrid electric vehicle in actual operation, and give full play to the performance potential of the hybrid electric vehicle.

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