CN106740222A - A kind of electric automobile continual mileage Forecasting Methodology - Google Patents
A kind of electric automobile continual mileage Forecasting Methodology Download PDFInfo
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- CN106740222A CN106740222A CN201710017323.5A CN201710017323A CN106740222A CN 106740222 A CN106740222 A CN 106740222A CN 201710017323 A CN201710017323 A CN 201710017323A CN 106740222 A CN106740222 A CN 106740222A
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- electric automobile
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/0097—Predicting future conditions
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0043—Signal treatments, identification of variables or parameters, parameter estimation or state estimation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/146—Display means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/24—Energy storage means
- B60W2510/242—Energy storage means for electrical energy
- B60W2510/244—Charge state
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Power Engineering (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a kind of electric automobile continual mileage Forecasting Methodology, comprise the following steps：Step one：When electric automobile starts and travels, according to the current state-of-charge SOC value of battery and the Expenditure Levels of the ideal city operating mode section battery electric quantity being pre-designed, central control panel calculates electric automobile theory continual mileage；Step 2：After electric automobile is started running, electric automobile just according to the electric quantity consumption situation of battery in this operating range, calculates hundred kilometers of electric quantity consumptions of battery of electric automobile；Step 3：Hundred kilometers of actual battery consumptions calculating electric automobile dump energy continual mileage that state-of-charge SOC value and abovementioned steps two after a segment distance are calculated is travelled according to battery, the present invention can effectively solve the problems, such as that current electric vehicle driver cannot be correctly correctly predicted to electric automobile continual mileage according to electric automobile dump energy.
Description
Technical field
The present invention relates to a kind of electric automobile continual mileage Forecasting Methodology, belong to Control of Electric Vehicles technical field.
Background technology
Orthodox car is main using gasoline and diesel oil as fuel, is included in the vehicle exhaust produced after automobile engine burning
The gases such as substantial amounts of carbon dioxide, sulfur dioxide, nitrogen dioxide and carbon monoxide, these gases not only pollute the environment, while
Contained solid aerosol can also aggravate haze weather, and investigation shows, causes the change of the dioxy of greenhouse effects
Carbon about 25% derives from automobile.Relative to transmission automobile, pure electric automobile capacity usage ratio is high, and noise is low, environmental pollution
Smaller, without direct waste gas discharge during traveling, and structure is relatively more simple, therefore, the research and development of pure electric automobile
It is considered to be the important means for solving the problems, such as energy and environment.
At present, because battery energy density is not enough, cause pure electric automobile continual mileage relatively low, electric vehicle driver will
Frequent moment concern electric automobile dump energy, and need the dump energy shown according to central control panel to judge electronic vapour come self
Car residue continual mileage, but according to the difference of specific running section, battery power consumption amount is also different, if electric automobile this
Stroke is mainly uphill way, then amount of battery consumption can be than larger；If this stroke is mainly descending section, then add
The energy content of battery of electric automobile is reclaimed, and battery power consumption amount can be smaller, so according to road conditions difference and with electric automobile
Use time, the discharging efficiency of battery is also being continually changing, and causes driver to be sometimes difficult to according to electric automobile dump energy
Continual mileage to electric automobile is accurately estimated, and is produced " mileage Anxiety ", and can often occur because to electric automobile
Do not have the situation of electricity caused by the erroneous judgement of remaining continual mileage in electric automobile during traveling way.
The content of the invention
The technical problem to be solved in the present invention is：Cannot be correctly surplus according to electric automobile for current electric vehicle driver
The remaining electricity problem correctly predicted to electric automobile continual mileage, proposes a kind of electric automobile according to dump energy, with reference to reality
The electric automobile continual mileage predictor method of form road conditions, driver's driving habit and electric automobile average speed, can be very square
Just be supplied to driver's clearly continual mileage information, allow its judge dump energy can normally travel to destination, when
Carry out charging operations.
Technical scheme：A kind of electric automobile continual mileage Forecasting Methodology, comprises the following steps：
Step one：When electric automobile starts and travels, according to the current state-of-charge SOC value of battery and the ideal city being pre-designed
The Expenditure Levels of operating mode section battery electric quantity, central control panel calculates electric automobile theory continual mileage, and its computing formula is：
；
Step 2：After electric automobile is started running, electric automobile just according to the electric quantity consumption situation of battery in this operating range,
Hundred kilometers of electric quantity consumptions of battery of electric automobile are calculated, its computing formula is：
；
Step 3：Hundred kilometers of reality that state-of-charge SOC value and abovementioned steps two after a segment distance are calculated are travelled according to battery
Amount of battery consumption calculates electric automobile dump energy continual mileage, and its computing formula is：
。
The prediction process often travels a segment distance and updates once, and can be with according to the difference of current driving road segment and speed
More easily recognize the continual mileage of dump energy, it is ensured that the accuracy and validity of information.
The operating range is 2~4 kilometers.
The beneficial effects of the invention are as follows：When the present invention is predicted to the continual mileage of electric automobile dump energy, fully
Influence in view of actual road conditions and speed of operation to electric automobile continual mileage, because the difference of road conditions, directly determines electronic
The continual mileage of automobile.Often travel 2~4 kilometers, just update a secondary data, can the moment according to electric automobile current driving road conditions
To carry out continual mileage prediction.
Therefore, when during driver travels in electric vehicle drive, except display electric automobile on electric automobile central control panel
Outside dump energy, residual driving range of electromobile is also shown, can the highly effective and accurate driver's judgement electric automobile that allows
Dump energy can normally travel to purpose, and whether need to carry out charging operations, the method can be prevented effectively from driver because
To caused by the erroneous judgement of residual driving range of electromobile electric automobile during traveling way in do not have electricity situation, reduce electric automobile because
Lack influence of the quantity problem to electric automobile.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, present invention work is further retouched in detail below
State.
A kind of electric automobile continual mileage Forecasting Methodology of the present invention, comprises the following steps：
Step one：When electric automobile starts and travels, according to the current state-of-charge SOC value of battery and the ideal city being pre-designed
The Expenditure Levels of operating mode section battery electric quantity, central control panel calculates electric automobile theory continual mileage, and its computing formula is：
；
Step 2：After electric automobile is started running, electric automobile just according to the electric quantity consumption situation of battery in this operating range,
Hundred kilometers of electric quantity consumptions of battery of electric automobile are calculated, its computing formula is：
；
Step 3：Hundred kilometers of reality that state-of-charge SOC value and abovementioned steps two after a segment distance are calculated are travelled according to battery
Amount of battery consumption calculates electric automobile dump energy continual mileage, and its computing formula is：
。
Above-mentioned prediction process often travels 2~4 kilometers and just updates once, and is displayed on electric automobile central control panel in real time,
The continual mileage of dump energy is understood so as to driver, it is ensured that the accuracy and validity of information.
Claims (3)
1. a kind of electric automobile continual mileage Forecasting Methodology, it is characterised in that：Comprise the following steps：
Step one：When electric automobile starts and travels, according to the current state-of-charge SOC value of battery and the ideal city being pre-designed
The Expenditure Levels of operating mode section battery electric quantity, central control panel calculates electric automobile theory continual mileage, and its computing formula is：
；
Step 2：After electric automobile is started running, electric automobile just according to the electric quantity consumption situation of battery in this operating range,
Hundred kilometers of electric quantity consumptions of battery of electric automobile are calculated, its computing formula is：
；
Step 3：Hundred kilometers of reality that state-of-charge SOC value and abovementioned steps two after a segment distance are calculated are travelled according to battery
Amount of battery consumption calculates electric automobile dump energy continual mileage, and its computing formula is：
。
2. electric automobile continual mileage Forecasting Methodology according to claim 1, it is characterised in that：The prediction process is often gone
A segment distance is sailed to update once.
3. electric automobile continual mileage Forecasting Methodology according to claim 1, it is characterised in that：The operating range is 2
~4 kilometers.
Priority Applications (1)
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|---|---|---|---|
| CN201710017323.5A CN106740222A (en) | 2017-01-11 | 2017-01-11 | A kind of electric automobile continual mileage Forecasting Methodology |
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|---|---|---|---|
| CN201710017323.5A CN106740222A (en) | 2017-01-11 | 2017-01-11 | A kind of electric automobile continual mileage Forecasting Methodology |
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| Publication Number | Publication Date |
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Family
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| CN201710017323.5A Pending CN106740222A (en) | 2017-01-11 | 2017-01-11 | A kind of electric automobile continual mileage Forecasting Methodology |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN108407640A (en) * | 2018-03-06 | 2018-08-17 | 吉林大学 | Vehicle on highway guiding system and bootstrap technique with charging track |
| CN108414938A (en) * | 2018-01-18 | 2018-08-17 | 武汉理工大学 | Batteries of electric automobile SOH online evaluation methods based on electric vehicle monitor supervision platform |
| 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 |
| CN109334511A (en) * | 2018-09-03 | 2019-02-15 | 胡斌 | A kind of prediction technique of electric car course continuation mileage |
| CN110015141A (en) * | 2017-12-21 | 2019-07-16 | 北京长城华冠汽车科技股份有限公司 | A kind of calculation method and equipment of electric car residue course continuation mileage |
| CN110015152A (en) * | 2017-09-28 | 2019-07-16 | 湖南中车时代电动汽车股份有限公司 | For predicting the method and system of running distance of eletric vehicles |
| CN110103773A (en) * | 2019-05-22 | 2019-08-09 | 福建工程学院 | A kind of electric car continual mileage prediction technique and system |
| EP3608850A1 (en) * | 2018-08-10 | 2020-02-12 | Kabushiki Kaisha Toshiba | Energy management device, model management method and computer program |
| CN111583440A (en) * | 2019-02-19 | 2020-08-25 | 陕西汽车集团有限责任公司 | Dynamic mileage estimation method for electric vehicle |
| CN111619356A (en) * | 2019-02-28 | 2020-09-04 | 北京新能源汽车股份有限公司 | Charging control method, device and system and automobile |
| CN111660816A (en) * | 2020-06-16 | 2020-09-15 | 南京汽车集团有限公司 | Method for predicting driving range of pure electric vehicle |
| CN111845454A (en) * | 2020-07-25 | 2020-10-30 | 汪永强 | New energy automobile discharge monitoring and early warning system |
| CN114056113A (en) * | 2020-08-09 | 2022-02-18 | 广汽埃安新能源汽车有限公司 | Energy-saving mode control method and system for electric automobile |
| CN115284968A (en) * | 2022-08-29 | 2022-11-04 | 上汽通用五菱汽车股份有限公司 | Driving range obtaining method, device, equipment and storage medium |
| CN115284966A (en) * | 2022-07-01 | 2022-11-04 | 安徽比克新动力科技有限公司 | Vehicle power battery state monitoring and recycling system based on block chain |
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Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107458259B (en) * | 2017-08-24 | 2020-01-07 | 成都雅骏新能源汽车科技股份有限公司 | Method for estimating remaining mileage of new energy electric vehicle |
| 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 |
| CN110015152A (en) * | 2017-09-28 | 2019-07-16 | 湖南中车时代电动汽车股份有限公司 | For predicting the method and system of running distance of eletric vehicles |
| CN110015141A (en) * | 2017-12-21 | 2019-07-16 | 北京长城华冠汽车科技股份有限公司 | A kind of calculation method and equipment of electric car residue course continuation mileage |
| CN108414938A (en) * | 2018-01-18 | 2018-08-17 | 武汉理工大学 | Batteries of electric automobile SOH online evaluation methods based on electric vehicle monitor supervision platform |
| CN108407640A (en) * | 2018-03-06 | 2018-08-17 | 吉林大学 | Vehicle on highway guiding system and bootstrap technique with charging track |
| EP3608850A1 (en) * | 2018-08-10 | 2020-02-12 | Kabushiki Kaisha Toshiba | Energy management device, model management method and computer program |
| 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 |
| CN109130868B (en) * | 2018-10-17 | 2022-02-08 | 奇瑞新能源汽车股份有限公司 | Electric automobile endurance mileage estimation method and system |
| 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 |
| CN111583440A (en) * | 2019-02-19 | 2020-08-25 | 陕西汽车集团有限责任公司 | Dynamic mileage estimation method for electric vehicle |
| CN111619356A (en) * | 2019-02-28 | 2020-09-04 | 北京新能源汽车股份有限公司 | Charging control method, device and system and automobile |
| CN111619356B (en) * | 2019-02-28 | 2022-04-19 | 北京新能源汽车股份有限公司 | Charging control method, device and system and automobile |
| CN110103773A (en) * | 2019-05-22 | 2019-08-09 | 福建工程学院 | A kind of electric car continual mileage prediction technique and system |
| CN111660816A (en) * | 2020-06-16 | 2020-09-15 | 南京汽车集团有限公司 | Method for predicting driving range of pure electric vehicle |
| CN111845454A (en) * | 2020-07-25 | 2020-10-30 | 汪永强 | New energy automobile discharge monitoring and early warning system |
| CN111845454B (en) * | 2020-07-25 | 2021-07-13 | 苏州鱼得水电气科技有限公司 | New energy automobile discharge monitoring and early warning system |
| CN114056113A (en) * | 2020-08-09 | 2022-02-18 | 广汽埃安新能源汽车有限公司 | Energy-saving mode control method and system for electric automobile |
| CN114056113B (en) * | 2020-08-09 | 2024-06-21 | 广汽埃安新能源汽车有限公司 | Energy-saving mode control method and system for electric automobile |
| CN115284966A (en) * | 2022-07-01 | 2022-11-04 | 安徽比克新动力科技有限公司 | Vehicle power battery state monitoring and recycling system based on block chain |
| CN115284968A (en) * | 2022-08-29 | 2022-11-04 | 上汽通用五菱汽车股份有限公司 | Driving range obtaining method, device, equipment and storage medium |
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