Energy consumption model prediction method for battery electric vehicle based on road information and driving style

Abstract

The invention discloses an energy consumption model prediction method for a battery electric vehicle based on road information and driving style optimization. The energy consumption model prediction method comprises the steps that a vehicle sensor, geographic information software, an electronic map and a weather forecasting system are utilized to acquire vehicle state parameters, road informationparameters and environmental information parameters; according to the acquired parameters, parameter estimation is performed on rolling resistance coefficients, air density and road gradient parameters; a working condition prediction model based on road information and driving style optimization is established to predict the working conditions to enable energy consumption of the predicted workingconditions to be accurately approximated to energy consumption of actual working conditions; and a battery electric vehicle energy consumption prediction model is established for energy consumption prediction, specifically, a battery electric vehicle energy consumption calculation model is established based on a battery electric vehicle performance test, parameter estimation results and working condition prediction results are used as the input of the battery electric vehicle energy consumption calculation model to form the battery electric vehicle energy consumption prediction model, the battery electric vehicle energy consumption prediction model outputs predicted energy consumption, and energy consumption of future path information is predicted.

Description

technical field [0001] The invention relates to a prediction method of an electric vehicle energy consumption model based on road information and driving style, and belongs to the technical field of new energy vehicles. Background technique [0002] Pure electric vehicles (Battery Electric Vehicle, BEV) have obvious advantages over traditional internal combustion engine vehicles in terms of energy consumption and emissions, such as good power, low driving noise, energy saving and zero emissions. However, due to the limitations of battery technology development, the driving range of electric vehicles is still relatively short and the charging time is relatively long. Pure electric vehicle drivers worry about whether they can reach their destination with the current remaining energy, which is called "range anxiety", and range anxiety is one of the main factors currently limiting the acceptance of electric vehicles. Obviously, installing large-capacity batteries, fast charging...

AI Technical Summary

Problems solved by technology

However, traditional model prediction methods do not consider the impact of driving style on energy consumption

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