Automobile energy-saving path and economic speed dynamic planning method based on V2I

Abstract

The invention relates to an automobile energy-saving path and economic speed dynamic planning method based on V2I. The automobile energy-saving path and economic speed dynamic planning method comprises the following steps that (1) a starting point and an ending point of a route are arranged, each path is sectioned, and real-time working condition information of sections of each path is obtained; (2) a plug-in hybrid electric vehicle energy consumption optimizing strategy based on dynamic planning is built with the minimum accumulative equivalent oil consumption of the sections of each path as an optimizing target, and with the speed limit and the traffic flow speed of the sections of each path, and the limit value of the working electricity quantity of a power battery as constraint conditions; and (3) the minimum accumulative equivalent oil consumption, the economic speed and the travelling time which correspond to each path are obtained. Compared with the prior art, the automobile energy-saving path and economic speed dynamic planning method has the advantages that according to real-time road network information and the real-time working condition information, and by combining the energy consumption characteristic of a plug-in hybrid electric vehicle, the energy-saving paths and the economic speed are optimally decided; the navigation function is enriched; the configuration advantage of the plug-in hybrid electric vehicle is given to play; and energy consumption is optimal.

Description

technical field [0001] The invention relates to the field of real-time energy optimization management of plug-in hybrid electric vehicles, in particular to a V2I-based vehicle energy-saving path and a dynamic planning method for economic vehicle speed. Background technique [0002] Plug-in hybrid electric vehicles have become a new energy vehicle solution to meet increasingly stringent vehicle energy consumption and emission regulations. The energy management strategy of plug-in hybrid electric vehicles plays an important role in giving full play to the configuration advantages of plug-in hybrid electric vehicles and improving its energy economy. [0003] Driving conditions have an important impact on the energy consumption of plug-in hybrid electric vehicles. At present, the rule-based energy management strategy of plug-in hybrid electric vehicles that has been applied industrially cannot reflect the influence of operating conditions on it, so the control effect is not goo...

AI Technical Summary

Problems solved by technology

However, the scheme described in this patent only involves the slope information of the working conditions, and the appropriate charging and discharging rules are formulated based on the future working condition information. The working condition information considered is single, and the effect of rule-based control optimization is limited.

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