Estimation method for driving range of electric vehicles

Abstract

The invention discloses a method for estimating the driving range of an electric car. The method comprises the steps of obtaining a current measuring value of a power battery, and calculating a current status value of the battery; obtaining a historical energy consumption value and the historical driving cycle of the whole car, predicting the future driving cycle, and calculating a predicted value of the future energy consumption of the whole car; predicting the residual usable energy of the power battery under the predicted value of the future energy consumption of the whole car according to the predicted value of the future energy consumption, the current measuring value of the battery and the current status value of the battery through an electricity-heat coupling model of the battery; and calculating the driving range of the electric car according to the predicted value of the future energy consumption of the whole car and the residual usable energy. According to the method, the residual usable energy of the power battery under the future running condition is predicted, and the accurate driving range of the electric car is calculated through prediction of the future driving cycle and by prediction of energy consumption of the car in a future period by combining the energy consumption model of the whole car, so that the mileage anxiety of passengers is reduced.

Description

technical field [0001] The invention belongs to the field of electric vehicle control, and in particular relates to a method for estimating the remaining mileage of an electric vehicle. Background technique [0002] Compared with traditional cars, electric vehicles have great advantages in driving economy, starting power and environmental friendliness. However, due to the low energy density and high cost of power batteries, there is a large gap in the driving range of electric vehicles. At the same time, due to the inaccurate estimation of the energy state of the electric vehicle battery and the inaccurate estimation of the future energy consumption of the vehicle, the mileage estimation of the existing algorithm is inaccurate. This makes passengers worry that the existing power cannot guarantee that the vehicle will reach its destination, resulting in "mileage anxiety". Therefore, it is necessary to study an accurate estimation method for the driving range of electric veh...

AI Technical Summary

Problems solved by technology

In the calculation of the future energy consumption of the whole vehicle, the previous methods mostly use the driving energy consumption of the vehicle for a period of time to calculate, and do not calculate based on the predicted value of the vehicle's future driving conditions, so the calculated future energy consumption of the whole vehicle has a large error , which will eventually cause errors in the predicted value of the vehicle's driving range, and cause passengers' mileage anxiety

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