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Electric vehicle mileage dynamic estimation method

An electric vehicle and dynamic prediction technology, which is applied in the direction of registration/indication of vehicle operation, instruments, registration/indication, etc., can solve the problems of many factors affecting vehicle mileage, difficulty in estimation, and inability to provide very accurate estimation results, etc.

Pending Publication Date: 2020-08-25
SHAANXI AUTOMOBILE GROUP
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Problems solved by technology

There are many factors affecting the vehicle mileage, and it is very difficult to estimate, and none of the existing solutions can provide very accurate estimation results

Method used

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  • Electric vehicle mileage dynamic estimation method
  • Electric vehicle mileage dynamic estimation method
  • Electric vehicle mileage dynamic estimation method

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Embodiment Construction

[0041] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments, but this does not constitute any limitation to the present invention.

[0042] In a preferred embodiment, as figure 1 As shown, a dynamic prediction method for electric vehicle cruising range is proposed, including the following steps:

[0043] Step 1. The cruising range controller establishes the driving force model of the vehicle, uses the model to estimate the current weight of the vehicle according to the current driving data of the vehicle, and compares it with the weight range of the vehicle stored in the database for no-load, light-load and full-load, Judging whether the vehicle is currently unloaded, lightly loaded or fully loaded;

[0044] Step 2. The cruising range controller sends the load status of the vehicle to the vehicle monitoring platform, and sends a data request command. After the vehicle monitoring platform receives the dat...

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Abstract

The invention relates to an electric vehicle mileage dynamic estimation method. According to the method, the situation that in the starting stage of an existing electric vehicle, vehicle-mounted powerconsumption is complex, and severe deviation is brought to remaining mileage estimation due to power consumption and driving data with large fluctuation in the initial stage is fully considered. Theaverage driving distance of historical unit energy consumption under the current load state is calculated by utilizing a big data clustering thought, using a large amount of historical driving data and combining with the vehicle load condition, and the residual driving range is acquired according to the current residual electric quantity.

Description

technical field [0001] The invention relates to the field of electric vehicles, in particular to a mileage dynamic prediction method for electric vehicles. Background technique [0002] The cruising range of electric vehicles is determined by the remaining energy of the battery pack and the energy consumption of future routes. At present, the research on the remaining mileage estimation of electric vehicles is divided into two categories. The first category is to estimate the remaining mileage based on the average energy consumption and battery remaining energy based on the driving data of the previous period. consumption, for mileage estimation. There are many factors affecting the vehicle mileage, and it is very difficult to estimate, and none of the existing schemes can provide very accurate estimation results. Moreover, the difference in the actual mileage of pure electric vehicles of different qualities increases with the increase in the total mass of the vehicle. Som...

Claims

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Application Information

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IPC IPC(8): G07C5/00G07C5/08
CPCG07C5/004G07C5/008G07C5/0808
Inventor 王瑞雷正潮陈国栋
Owner SHAANXI AUTOMOBILE GROUP
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