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Prediction method of driving mileage of electric car

A technology of cruising range and electric vehicles, which is applied in the direction of electric vehicles, vehicle energy storage, vehicle components, etc., can solve the problems of inability to accurately judge the use of electric vehicle owners, and achieve the effect of high accuracy

Active Publication Date: 2019-02-15
胡斌
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing electric vehicles generally only give the cruising range and the maximum cruising range under working conditions, without considering the impact of the driving temperature, driving road section or the driving habits of the owner on the cruising range of the electric vehicle, resulting in the remaining mileage displayed by the electric vehicle. There is a big gap between the cruising range and the actual driving range of the car owner, so that the car owner cannot accurately judge the actual usage of the electric car owner

Method used

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  • Prediction method of driving mileage of electric car

Examples

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Embodiment 1

[0053] See figure 1 , figure 1 This is a schematic flowchart of a method for predicting the cruising range of an electric vehicle provided by an embodiment of the present invention. An embodiment of the present invention provides a method for predicting the cruising range of an electric vehicle, including:

[0054] Obtaining the mileage of the electric vehicle;

[0055] Acquiring the first SOC difference of the electric vehicle's mileage;

[0056] Acquiring the first SOC value when the electric vehicle is initially charged;

[0057] Establishing a mileage calculation model according to the mileage, the first SOC difference and the first SOC value;

[0058] The cruising range is obtained according to the calculation model of the cruising range.

[0059] The cruising range prediction method of this embodiment is calculated according to actual conditions, which is in line with the actual application of electric vehicles. The prediction method has a high accuracy rate and can provide car ...

Embodiment 2

[0162] On the basis of the foregoing embodiment, the embodiment of the present invention uses a specific embodiment to describe the prediction method provided by the embodiment of the present invention.

[0163] The electric vehicle used in this embodiment is the JAC brand 2015 smart luxury iEV4 pure electric vehicle. The charging information of the AC equipment of the electric vehicle: charging voltage: 235V; charging current: 9.8A; on-board charging power: 2.3kW; gun Head specification: 32A. DC equipment charging information: auxiliary power demand: 12V; demand voltage: 347V; demand current: 30A; demand power: 10.41kW. Working condition endurance: 152km.

[0164] Working condition 1: Electric vehicles driving in spring and autumn

[0165] S Spring and Autumn = 135km (measured in September 2017)

[0166] Mileage 1: Known: SOC D = 16%, SOC' = 75% (the first SOC value when the electric vehicle charging lamp is on is displayed as 25%)

[0167] Then X=SOC D ×S Spring and Autumn / SOC'=...

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Abstract

The invention relates to a prediction method of the driving mileage of an electric car. The prediction method comprises the steps that the traveling mileage of the electric car is obtained; a first SOC difference value of the traveling mileage of the electric car is obtained; a first SOC value during initial charging of the electric car is obtained; a calculation model of the driving mileage is established according to the traveling mileage, the first SOC difference value and the first SOC value; and the driving mileage is obtained according to the calculation model of the driving mileage. According to the prediction method of the driving mileage, calculation is conducted according to the actual condition, the prediction method conforms to the actual application situation of the electric car, the prediction method is high in accuracy rate, timely and accurate data can be provided for a car owner, and the using situation of the electric car is mastered conveniently by the car owner in time so as to avoid the situation that the car owner cannot master the actual driving mileage of the electric car and consequently generates anxious emotion.

Description

Technical field [0001] The invention belongs to the technical field of electric vehicles, and specifically relates to a method for predicting the cruising range of an electric vehicle. Background technique [0002] In 1881, the world's first electric car powered by rechargeable batteries appeared on the streets of Paris, France. Later, due to the rise of internal combustion engine cars, electric cars almost disappeared. However, in the 21st century, as the importance of “energy security” and “environmental protection” has gradually been valued by the state, electric vehicles have begun to rise again. [0003] There are two main types of existing electric vehicles, one is pure electric vehicles; the other is hybrid vehicles (plug-in hybrid vehicles). Existing electric vehicles mainly reflect the cruising range and remaining power of electric vehicles through the remaining cruising range and remaining power (SOC, State Of Charge) displayed on the instrument. Among them, SOC refers ...

Claims

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Application Information

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IPC IPC(8): B60L58/12
CPCB60L2260/52Y02T10/70
Inventor 胡斌
Owner 胡斌
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