CN102745201A - Estimation method for remainder mileage of electric automobile - Google Patents
Estimation method for remainder mileage of electric automobile Download PDFInfo
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Abstract
The invention discloses an estimation method for the remainder mileage of an electric automobile. The method comprises the following steps of: a) detecting and identifying the real-time driving mode of the electric automobile; b) obtaining the energy consumption per kilometre under the real-time driving mode according to the pre-obtained driving mode and a table about the energy consumption per kilometre under a working condition; and c) obtaining the current SOC (state of capacity) of a battery, and obtaining the remainder mileage according to the current SOC of the battery and the energy consumption per kilometre under the real-time driving mode. According to the invention, the real-time electricity consumption is analysed via real-time detection on the driving mode of the electric automobile, and then the remainder mileage is obtained according to the real-time remainder electricity quantity; the estimation mode is immediate and accurate, and ensures that a driver can make a decision of a driving path conveniently, thus avoiding the problem of the need of trailing due to no electricity; simultaneously, a user is reminded of charging the battery in time, thus avoiding the possibility of the over-discharge of the battery, and prolonging the service life of the battery.
Description
Technical field
The present invention relates to electric vehicle engineering and improve specifically a kind of Remainder Range of Electric Vehicle evaluation method.
Background technology
In the electronlmobil field, have a lot of electronlmobils that the state-of-charge (being SOC) of battery is had calculating and show, but but rarely have this function design, and industry still not have generally acknowledged method to the estimation of Remainder Range of Electric Vehicle for remaining mileage.In the use of reality, the remaining mileage exactly that the driver is concerned about most, if can not charge on time, automobile will have and not have electricity midway and can't go.If the demonstration remaining mileage is arranged, the driver just can more reasonably select running route, gives vehicle charging timely, reduces the probability that can't go midway.
Summary of the invention
In view of this, the present invention's technical matters that will solve provides a kind of estimation precision high Remainder Range of Electric Vehicle evaluation method.
In order to solve the problems of the technologies described above, this technical matters adopts following scheme to solve:
A kind of Remainder Range of Electric Vehicle evaluation method, this method comprises the steps:
A). detect and discern the real-time driving model of electronlmobil;
B). according to every kilometer energy consumption table under each driving model that obtains in advance and the operating mode, obtain every kilometer energy consumption under this real-time driving model;
C). obtain current battery SOC, according to the remaining mileage that draws of every kilometer energy consumption under current battery SOC and the real-time driving model.
Wherein, every kilometer energy consumption table obtains through following method under described each driving model and the operating mode:
Respectively test statistics at automobile under city driving pattern, country driving pattern, the scorch pattern at starting state, acceleration mode, deceleration regime, the average every kilometer consumption of current B under state, idling mode, the state that turns round, braking state, the halted state operating mode at the uniform velocity; This B value and driving model, operating mode are formed every kilometer energy consumption table under each driving model and the operating mode, be used for down-stream and call.
Wherein, city driving pattern, country driving pattern and scorch mode judging method are:
Test statistics is acceleration and deceleration frequency values, average speed value under city driving pattern, country driving pattern and scorch pattern; This acceleration and deceleration frequency values and average speed value are divided into city driving pattern, country driving pattern and three intervals of scorch pattern; Detect acceleration and deceleration frequency values and average speed value in the vehicle traveling process in real time, corresponding to the corresponding interval driving model that promptly obtains automobile.
Wherein, at c) preparation method of remaining mileage does in the step;
The SOC value of battery that at first obtains in real time according to battery management system obtains the current active volume D:D=C * of battery SOC through following formula, and C is the capacity of cell under the complete charge condition;
Obtain remaining mileage H:H=D/B * 80% through following formula then.
The present invention analyzes real-time consumption of current through detecting the driving model of electronlmobil in real time, obtains remaining mileage according to real-time dump energy again; This estimation mode is accurate immediately; Make things convenient for the driver to make the decision-making of driving path, avoided also reminding the user in time to charge the battery simultaneously because of not having electricity to need the trouble of trailer; Avoid battery to cross the possibility of putting, prolonged the service life of battery.
The specific embodiment
Below will combine embodiment that the present invention is described in further detail for the ease of it will be appreciated by those skilled in the art that:
The Remainder Range of Electric Vehicle evaluation method that present embodiment discloses has been considered most of factor that influences the electronlmobil mileage, makes the remaining mileage that estimates more accurate, is convenient to chaufeur and makes right judgement.
This Remainder Range of Electric Vehicle evaluation method adopts following steps to realize:
A). detect and discern the real-time driving model of electronlmobil;
B). according to every kilometer energy consumption table under each driving model that obtains in advance and the operating mode, obtain every kilometer energy consumption under this real-time driving model;
C). obtain current battery SOC, according to the remaining mileage that draws of every kilometer energy consumption under current battery SOC and the real-time driving model.
Wherein, every kilometer energy consumption table obtains through following method under described each driving model and the operating mode:
Respectively test statistics at automobile under city driving pattern, country driving pattern, the scorch pattern at starting state, acceleration mode, deceleration regime, the average every kilometer consumption of current B under state, idling mode, the state that turns round, braking state, the halted state operating mode at the uniform velocity; This B value and driving model, operating mode are formed every kilometer energy consumption table under each driving model and the operating mode, be used for down-stream and call.
Wherein, city driving pattern, country driving pattern and scorch mode judging method are:
Test statistics is acceleration and deceleration frequency values, average speed value under city driving pattern, country driving pattern and scorch pattern; This acceleration and deceleration frequency values and average speed value are divided into city driving pattern, country driving pattern and three intervals of scorch pattern; Detect acceleration and deceleration frequency values and average speed value in the vehicle traveling process in real time, corresponding to the corresponding interval driving model that promptly obtains automobile.Also can be designed as between the acceleration and deceleration frequency values of above-mentioned test statistics and average speed value and the driving model with the acceleration and deceleration frequency values is that abscissa, average speed value are the data form of ordinate, and down-stream can directly be called.
Wherein, at c) preparation method of remaining mileage does in the step;
The SOC value of battery that at first obtains in real time according to battery management system obtains the current active volume D:D=C * of battery SOC through following formula, and C is the capacity of cell under the complete charge condition;
Obtain remaining mileage H:H=D/B * 80% (the 80%th, the conversion efficiency of motor is the empirical statistics value) through following formula then.
The present invention analyzes real-time consumption of current through detecting the driving model of electronlmobil in real time, obtains remaining mileage according to real-time dump energy again; This estimation mode is accurate immediately; Make things convenient for the driver to make the decision-making of driving path, avoided also reminding the user in time to charge the battery simultaneously because of not having electricity to need the trouble of trailer; Avoid battery to cross the possibility of putting, prolonged the service life of battery.
The foregoing description is merely wherein concrete implementation of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the present invention's design, can also make some distortion and improvement, these conspicuous replacement forms all belong to protection scope of the present invention.
Claims (4)
1. a Remainder Range of Electric Vehicle evaluation method is characterized in that, this method comprises the steps:
A). detect and discern the real-time driving model of electronlmobil;
B). according to every kilometer energy consumption table under each driving model that obtains in advance and the operating mode, obtain every kilometer energy consumption under this real-time driving model;
C). obtain current battery SOC, according to the remaining mileage that draws of every kilometer energy consumption under current battery SOC and the real-time driving model.
2. Remainder Range of Electric Vehicle evaluation method according to claim 1 is characterized in that, every kilometer energy consumption table obtains through following method under described each driving model and the operating mode:
Respectively test statistics at automobile under city driving pattern, country driving pattern, the scorch pattern at starting state, acceleration mode, deceleration regime, the average every kilometer consumption of current B under state, idling mode, the state that turns round, braking state, the halted state operating mode at the uniform velocity; This B value and driving model, operating mode are formed every kilometer energy consumption table under each driving model and the operating mode, be used for down-stream and call.
3. Remainder Range of Electric Vehicle evaluation method according to claim 2 is characterized in that, city driving pattern, country driving pattern and scorch mode judging method are:
Test statistics is acceleration and deceleration frequency values, average speed value under city driving pattern, country driving pattern and scorch pattern; This acceleration and deceleration frequency values and average speed value are divided into city driving pattern, country driving pattern and three intervals of scorch pattern; Detect acceleration and deceleration frequency values and average speed value in the vehicle traveling process in real time, corresponding to the corresponding interval driving model that promptly obtains automobile.
4. Remainder Range of Electric Vehicle evaluation method according to claim 3 is characterized in that, at c) preparation method of remaining mileage does in the step;
The SOC value of battery that at first obtains in real time according to battery management system obtains the current active volume D:D=C * of battery SOC through following formula, and C is the capacity of cell under the complete charge condition;
Obtain remaining mileage H:H=D/B * 80% through following formula then.
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| CN103995234A (en) * | 2014-06-02 | 2014-08-20 | 耿直 | Method for monitoring residual discharge time and running distance of boosting type storage battery set |
| CN104102812A (en) * | 2014-05-05 | 2014-10-15 | 上海逸卡新能源汽车技术开发有限公司 | Computing method of remained driving distance of pure electric vehicle |
| CN104417388A (en) * | 2013-08-29 | 2015-03-18 | 福特全球技术公司 | Bev life support system and method |
| CN104442817A (en) * | 2013-09-12 | 2015-03-25 | 上海汽车集团股份有限公司 | Method and device for displaying remainder driving ranges of hybrid electric vehicles |
| CN104477108A (en) * | 2014-11-14 | 2015-04-01 | 清华大学 | Method and device for calculating driving range of electric car based on information fusion |
| CN104842797A (en) * | 2014-05-22 | 2015-08-19 | 北汽福田汽车股份有限公司 | Method and system for estimating future average power consumption and remaining driving range of electric automobile |
| CN103234544B (en) * | 2013-04-27 | 2016-04-06 | 北京交通大学 | Electric automobile electric quantity consumption factor model is set up and continual mileage evaluation method |
| CN105459842A (en) * | 2015-11-19 | 2016-04-06 | 安徽师范大学 | Estimation method for endurance mileage of electric vehicle |
| CN105501067A (en) * | 2015-12-18 | 2016-04-20 | 惠州市蓝微新源技术有限公司 | Method and system for calculating remaining mileage of electrical vehicle |
| CN105539446A (en) * | 2015-12-21 | 2016-05-04 | 东软集团股份有限公司 | Method and device for predicating driving mileage |
| CN105711592A (en) * | 2016-04-27 | 2016-06-29 | 蔚来汽车有限公司 | Method for adjusting self-adaption driving behavior of electric automobile |
| CN105954686A (en) * | 2016-06-27 | 2016-09-21 | 金龙联合汽车工业（苏州）有限公司 | Fixed line electric automobile power battery residual electric quantity estimation method |
| CN106740867A (en) * | 2016-11-22 | 2017-05-31 | 天津梦琪科技有限公司 | A kind of electric automobile vehicle mileage computing system |
| CN107247234A (en) * | 2017-05-10 | 2017-10-13 | 江苏大学 | The SOC real-time onlines method of estimation and system of a kind of Vehicular dynamic battery |
| CN107458259A (en) * | 2017-08-24 | 2017-12-12 | 成都雅骏新能源汽车科技股份有限公司 | A kind of New-energy electric vehicle remaining mileage evaluation method |
| CN107554330A (en) * | 2017-08-25 | 2018-01-09 | 四川现代汽车有限公司 | A kind of batteries of electric automobile energy management method |
| CN107976635A (en) * | 2017-11-17 | 2018-05-01 | 厦门大学 | A kind of electric automobile residue course continuation mileage evaluation method based on Kalman filtering |
| CN108556682A (en) * | 2018-03-30 | 2018-09-21 | 北京新能源汽车股份有限公司 | A kind of continual mileage prediction technique, device and equipment |
| CN109130868A (en) * | 2018-10-17 | 2019-01-04 | 奇瑞新能源汽车技术有限公司 | Electric car course continuation mileage predictor method and system |
| CN109278562A (en) * | 2018-11-27 | 2019-01-29 | 安徽江淮汽车集团股份有限公司 | A kind of evaluation method of Remainder Range of Electric Vehicle |
| CN109334511A (en) * | 2018-09-03 | 2019-02-15 | 胡斌 | A kind of prediction technique of electric car course continuation mileage |
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| CN110435429A (en) * | 2019-08-14 | 2019-11-12 | 福州大学 | A kind of dual-motor electric automobile course continuation mileage estimation method of fusion energy consumption prediction |
| CN111532282A (en) * | 2020-04-30 | 2020-08-14 | 广东中科臻恒信息技术有限公司 | Automatic driving coordination method, device and storage medium based on external environment and vehicle condition |
| CN112590556A (en) * | 2021-01-06 | 2021-04-02 | 潍柴动力股份有限公司 | Method for calculating driving range of automobile |
| CN113352938A (en) * | 2020-07-31 | 2021-09-07 | 重庆长安新能源汽车科技有限公司 | Method and system for determining double remaining mileage of pure electric vehicle and pure electric vehicle |
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| CN103995234A (en) * | 2014-06-02 | 2014-08-20 | 耿直 | Method for monitoring residual discharge time and running distance of boosting type storage battery set |
| CN104477108A (en) * | 2014-11-14 | 2015-04-01 | 清华大学 | Method and device for calculating driving range of electric car based on information fusion |
| CN105459842A (en) * | 2015-11-19 | 2016-04-06 | 安徽师范大学 | Estimation method for endurance mileage of electric vehicle |
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| CN105501067B (en) * | 2015-12-18 | 2018-02-16 | 惠州市蓝微新源技术有限公司 | The measuring method and calculating system of a kind of Remainder Range of Electric Vehicle |
| CN105539446B (en) * | 2015-12-21 | 2018-06-29 | 东软集团股份有限公司 | For predicting the method and apparatus of course continuation mileage |
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| CN107976635A (en) * | 2017-11-17 | 2018-05-01 | 厦门大学 | A kind of electric automobile residue course continuation mileage evaluation method based on Kalman filtering |
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| CN109334511A (en) * | 2018-09-03 | 2019-02-15 | 胡斌 | A kind of prediction technique of electric car course continuation mileage |
| CN109334511B (en) * | 2018-09-03 | 2020-10-02 | 胡斌 | Prediction method for endurance mileage of electric automobile |
| CN109130868A (en) * | 2018-10-17 | 2019-01-04 | 奇瑞新能源汽车技术有限公司 | Electric car course continuation mileage predictor method and system |
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| CN109278562A (en) * | 2018-11-27 | 2019-01-29 | 安徽江淮汽车集团股份有限公司 | A kind of evaluation method of Remainder Range of Electric Vehicle |
| CN110435429A (en) * | 2019-08-14 | 2019-11-12 | 福州大学 | A kind of dual-motor electric automobile course continuation mileage estimation method of fusion energy consumption prediction |
| CN111532282A (en) * | 2020-04-30 | 2020-08-14 | 广东中科臻恒信息技术有限公司 | Automatic driving coordination method, device and storage medium based on external environment and vehicle condition |
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Effective date of registration: 20161021 Address after: 330013 Jiangxi Nanchang economic and Technological Development Zone, Mount Lu North Road (Jiao Town) Patentee after: JIANGXI JIANGLING GROUP NEW ENERGY AUTOMOBILE CO., LTD. Address before: No. 6 District 516006 Guangdong province Huizhou Zhongkai hi tech Industrial Development Zone Patentee before: Huizhou Yineng Electronics Co., Ltd. |
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Effective date of registration: 20180213 Address after: 516006 Guangdong province Huizhou City Zhongkai high tech Zone Huifeng two East Road No. 40 Patentee after: Huizhou Yineng Electronics Co., Ltd. Address before: 330013 Jiangxi Nanchang economic and Technological Development Zone, Mount Lu North Road (Jiao Town) Patentee before: JIANGXI JIANGLING GROUP NEW ENERGY AUTOMOBILE CO., LTD. |