Intelligent judgment method for electric charging moment

Abstract

The invention discloses an intelligent judgment method for an electric charging moment, and belongs to the field of electric vehicles. The method comprises the following steps: S1, determining an early warning coefficient omega in real time according to personal attributes of a driver and driving data of the electric vehicle; s2, obtaining the remaining driving range Sremain of the electric vehicle and the distance Sarrive between the electric vehicle and the target charging station in real time; and s3, judging whether the Sremain-Sarrive is smaller than an early warning threshold value or not, if yes, sending a charging alarm prompt, and determining the early warning threshold value according to the total driving range of the electric vehicle and the early warning coefficient omega. According to the invention, personal attributes of drivers, energy consumption conditions of vehicles, real-time road conditions of roads and other information are considered; the mileage anxiety of the driver is graded; according to the mileage anxiety degree and the actual charging requirement of the driver, charging early warning and charging station reservation are carried out for the drivers withdifferent mileage anxiety degrees at proper time, the electric vehicle can be charged timely and accurately, the mileage anxiety of the driver is effectively relieved, and the traveling quality of the electric vehicle driver is improved.

Description

technical field [0001] The invention relates to the field of electric vehicles, in particular to an intelligent determination method for electric charging time. Background technique [0002] Electric vehicles have the characteristics of low pollution and high efficiency, and are the main direction for the development of new energy vehicles. However, limited mileage and low coverage of charging stations are the main bottlenecks in the current development of electric vehicles. These two problems have led to range anxiety among electric vehicle users. In the actual travel process, some drivers have encountered the situation that the road of the vehicle broke down due to misjudgment of charging, or the performance of the battery was over-discharged due to failure to charge in time, resulting in a serious decline in performance. destination, resulting in "mileage anxiety". Driver range anxiety is one of the main issues affecting the popularization and application of electric ve...

AI Technical Summary

Problems solved by technology

However, it can only provide the same early warning service for all drivers. However, different drivers have different tolerances for range anxiety. The driver's range anxiety state has not been combined with the driver's static personal attribute indicators and dynamic vehicle characteristics. Judging, it is impossible to provide personalized warnings for different drivers. For example, some people worry that the remaining power will not be able to reach the charging station when the battery power is high, and need an earlier reminder, while some people only need to be reminded when the battery power is low. Only when you are worried about the remaining power will not be able to reach the charging station, you can remind later

Therefore, providing the same warning to all drivers cannot meet the actual needs

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