CN108819722A - A kind of electric car course continuation mileage predictor method - Google Patents
A kind of electric car course continuation mileage predictor method Download PDFInfo
- Publication number
- CN108819722A CN108819722A CN201810558994.7A CN201810558994A CN108819722A CN 108819722 A CN108819722 A CN 108819722A CN 201810558994 A CN201810558994 A CN 201810558994A CN 108819722 A CN108819722 A CN 108819722A
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- Prior art keywords
- battery
- course continuation
- continuation mileage
- energy consumption
- mileage
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Classifications
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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
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/12—Recording operating variables ; Monitoring of operating variables
-
- 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
-
- 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
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/44—Control modes by parameter estimation
-
- 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
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
Abstract
The invention discloses a kind of electric car course continuation mileage predictor methods, include the following steps：(1) the voltage and current output valve of vehicle is recorded by real-time monitoring to calculate instantaneous energy consumption；(2) by adding up to instantaneous energy consumption, remaining capacity of the average energy consumption (3) in unit mileage by battery is calculated, average energy consumption calculates course continuation mileage.The advantage of the invention is that：By accurately reflecting remaining course continuation mileage；Calculated course continuation mileage considers the factors such as vehicle different conditions, the driving habit of car owner, battery loss, average power consumption is calculated by the variation of the cell output voltage electric current caused by these factors, the operating status of vehicle is accurately represented, and then accurately estimates out course continuation mileage.
Description
Technical field
The present invention relates to automobile course continuation mileage calculating field, in particular to a kind of electric car course continuation mileage predictor method.
Background technique
With the continuous development of society and the powerful support of national policy, the development of electric car have welcome the blowout stage,
Battery can storage energy it is higher and higher, the course continuation mileage of vehicle is also more and more longer, but how according to the row of each vehicle
Sail road conditions, the use habit of client, in each continuation of the journey because usually accurately estimating out electricity such as natural wastage of battery
Journey is complex and difficult, often because course continuation mileage inaccuracy, which will cause client to generate vehicle performance, complains that influencing it pushes away
Extensively.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of electric car course continuation mileage predictor methods.
To achieve the goals above, the technical solution adopted by the present invention is：A kind of electric car course continuation mileage predictor method,
Include the following steps：
(1) the voltage and current output valve of vehicle is recorded by real-time monitoring to calculate instantaneous energy consumption；
(2) by adding up to the instantaneous energy consumption in unit mileage, the average energy consumption in unit mileage is calculated
(3) by the remaining capacity of battery, average energy consumption calculates course continuation mileage.
The calculating of the remaining capacity of battery expires power consumption according to the health status, residual power percentage, battery of battery
To determine.
According to the attenuation coefficient Q for the battery that battery management system obtainsSOH, with the attenuation coefficient Q of batterySOHTo characterize battery
Health status.
The remaining capacity of battery is that battery expires the product between power consumption and attenuation coefficient, residual power percentage.
It is updated every setting time Ts and calculates instantaneous energy consumption, average energy consumption, and then updated to calculate and estimate course continuation mileage.
Average energy consumption calculation method in unit mileage includes：S is obtained by the way that instantaneous power consumption is cumulativeATime used in distance
Total power consumption in section, then calculates in SATheoretical average power consumption in distance, theoretical average power consumption are normal by weighting coefficient and amendment
S is obtained after number amendmentAActual average power consumption in distance, passes through multiple SAIt is averaged after actual average power summation in distance
Obtain the mean power in unit mileage.
The advantage of the invention is that：By accurately reflecting remaining course continuation mileage；Calculated course continuation mileage is examined
The factors such as vehicle different conditions, the driving habit of car owner, battery loss are considered, electricity are exported by the battery caused by these factors
The variation of current voltage calculates average power consumption, accurately represents the operating status of vehicle, and then accurately estimate
Course continuation mileage out.
Detailed description of the invention
Below to each width attached drawing of description of the invention expression content and figure in label be briefly described：
Fig. 1 is the flow chart of predictor method of the present invention.
Specific embodiment
A specific embodiment of the invention is made further detailed below against attached drawing by the description to optimum embodiment
Thin explanation.
The budget that course continuation mileage is carried out currently with the product of theoretical course continuation mileage and residual power percentage is more simple
Single unreasonable calculation, cannot reflect the state of each vehicle and the use habit of car owner, the loss state of battery
Course continuation mileage is predicted, error amount is larger.
The present invention is detected by the health degree of real-time remaining capacity and battery to battery, combines the real-time of battery
The performances of the composite factors on voltage and current such as the energy output under health degree, the driving habit of different drivers, different road conditions,
By being acquired processing analysis to voltage battery value, one finally is carried out to the course continuation mileage of electric car and is reasonably estimated.
It is specific as follows：
Course continuation mileage predictor method, includes the following steps：
(1) the voltage and current output valve of vehicle is recorded by real-time monitoring to calculate instantaneous energy consumption；
(2) by adding up to the instantaneous energy consumption in unit mileage, the average energy consumption in unit mileage is calculated
(3) by the remaining capacity of battery, average energy consumption calculates course continuation mileage.
Instantaneous power consumption：Instantaneous power consumption is updated every setting time Ts to be calculated once, by calculating in small time period t
Several instantaneous output voltage electric currents obtain total power consumption during this period of time and then are averaged to obtain the time in the smile
Instantaneous power consumption in section, calculation formula are as follows：
Time t is the cumulative time, and U is voltage, and I is electric current, and n is number；It is flat with this time in tiny time section
Instantaneous power consumption Q1 of the equal power consumption as the tiny time section.
The average power consumption of unit mileage：Average energy consumption calculation method in unit mileage includes：Then it calculates in SADistance
Interior theoretical average power consumption, theoretical average power consumption is by obtaining S after weighting coefficient and amendment constant correctionAReality in distance is flat
Equal power consumption passes through multiple SAIt is averaged to obtain the mean power in unit mileage after actual average power summation in distance.
S is obtained by the way that instantaneous power consumption is cumulativeATotal power consumption Q in period used in distance, its calculation formula is：
Ts is in SATraveling time used in distance, T are the time that instantaneous power consumption updates.
Then S is calculatedAThe average power consumption of unit distance in distance, calculation method Q/SA, but actual calibrated
Cheng Zhong, with Q/SAIndicate that average power consumption there are error, needs to be modified it；It is general using correction factor and constant come into
Row.In one embodiment, pass through Fx=aQ/SA+bFIt is realCalculate, wherein a, b be respectively calculate every section of instantaneous power consumption plus
Weight coefficient, FIt is realWeighting coefficient；The reason of this mode unit of account mileage average power consumption be due to directly calculating there are error,
Accurate unit mileage average power consumption is obtained by constant and correction factor；Wherein a, b can be calibrated by testing
Come.FIt is realIndicate initial hundred kilometers of actual power loss：FIt is real=(QMark/SIt is real) wherein QMarkBattery capacity, SIt is realThe initial course continuation mileage of battery；
SIt is realSample mode is as follows：When vehicle electricity SOC is 100%, in city operating condition downward driving, travelling the amount of sending a telegraph is 70%
Record mileage travelled；When vehicle electricity SOC is 70%, with the speed of 65km/h ± 5km/h, driven at a constant speed, traveling is sent a telegraph
Amount records mileage when being 45%；When vehicle electricity SOC is 45%, run at high speed with 100-120km/h speed, traveling is sent a telegraph
Amount records mileage when being 20%；When vehicle electricity SOC is 20%, city operating condition traveling, when the amount of sending a telegraph is 1% in record traveling
Journey；The above are a cycle circulations, take the average value in 5 periods as S reality.
S is calculatedAThen average power consumption in unit mileage is in unit mileage average power consumption according to practical electricity and obtains
To course continuation mileage is estimated, the average power consumption of unit mileage is obtained further for more accurate, takes several consecutive identical SA
Then the Fx that distance is calculated is averaged as average power consumption, here due to practical calculate when, real-time update is transported when vehicle
Dynamic, so in small SADistance in average power consumption be averaged it is more accurate, and vehicle operation when due to real-time TS
As soon as second update time instantaneous power consumption, and then average power consumption is also updated, it can accomplish that dynamic real-time update estimates course continuation mileage in this way.
Course continuation mileage estimates calculating：
SIt is continuous=QS/ F, QSFor remaining capacity, F is unit mileage average power consumption, unit KWh/km；
Remaining capacity QS calculates as follows：
QS=QMark*(QSOC*QSOH)kw.h
Wherein QSFor remaining capacity；QMarkFor nominal battery capacity, QSOCFor the percentage of remaining capacity, QSOHFor battery
Attenuation coefficient is derived from battery management system；
The calculating of the remaining capacity of battery expires power consumption according to the health status, residual power percentage, battery of battery
To determine.According to the attenuation coefficient Q for the battery that battery management system obtainsSOH, with the attenuation coefficient Q of batterySOHTo characterize battery
Health status.The remaining capacity of battery is that battery expires the product between power consumption and attenuation coefficient, residual power percentage.
Obviously present invention specific implementation is not subject to the restrictions described above, as long as using method concept and skill of the invention
The improvement for the various unsubstantialities that art scheme carries out, it is within the scope of the present invention.
Claims (6)
1. a kind of electric car course continuation mileage predictor method, which is characterized in that include the following steps：
(1) the voltage and current output valve of vehicle is recorded by real-time monitoring to calculate instantaneous energy consumption；
(2) by adding up to instantaneous energy consumption, the average energy consumption in unit mileage is calculated；
(3) by the remaining capacity of battery, average energy consumption estimates course continuation mileage to calculate.
2. a kind of electric car course continuation mileage predictor method as described in claim 1, it is characterised in that：The remaining capacity of battery
Calculating power consumption is expired to determine according to the health status of battery, residual power percentage, battery.
3. a kind of electric car course continuation mileage predictor method as claimed in claim 2, it is characterised in that：According to battery management system
The attenuation coefficient Q for the battery that system obtainsSOH, with the attenuation coefficient Q of batterySOHTo characterize the health status of battery.
4. a kind of electric car course continuation mileage predictor method as described in claim 1, it is characterised in that：The remaining capacity of battery
Expire the product between power consumption and attenuation coefficient, residual power percentage for battery.
5. a kind of electric car course continuation mileage predictor method as described in claim 1, it is characterised in that：Every setting time Ts
It updates and calculates instantaneous energy consumption, average energy consumption, and then update to calculate and estimate course continuation mileage.
6. a kind of electric car course continuation mileage predictor method as described in claim 1, it is characterised in that：It is flat in unit mileage
Equal Calculation Method of Energy Consumption includes：S is obtained by the way that instantaneous power consumption is cumulativeATotal power consumption in period used, then calculates in S in distanceA
Theoretical average power consumption in distance, theoretical average power consumption is by obtaining S after weighting coefficient and amendment constant correctionAReality in distance
Border average power consumption passes through multiple SAIt is averaged to obtain the average function in unit mileage after actual average power summation in distance
Rate.
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Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109552050A (en) * | 2018-11-22 | 2019-04-02 | 上海元城汽车技术有限公司 | Electric vehicle average current drain determines method and apparatus |
| CN109631901A (en) * | 2018-12-27 | 2019-04-16 | 奇瑞商用车（安徽）有限公司 | A kind of calculation method of the corresponding electrical demand of new-energy automobile course continuation mileage |
| CN109795369A (en) * | 2019-01-10 | 2019-05-24 | 郑州比克新能源汽车有限公司 | A kind of electric car course continuation mileage evaluation method based on average current drain |
| CN109808543A (en) * | 2019-01-22 | 2019-05-28 | 北京长城华冠汽车科技股份有限公司 | Course continuation mileage evaluation method, device, storage medium and electronic equipment |
| CN110018427A (en) * | 2019-05-24 | 2019-07-16 | 福建工程学院 | A kind of battery health of electric automobile appraisal procedure based on travelling data |
| CN110065452A (en) * | 2019-03-27 | 2019-07-30 | 奇瑞商用车（安徽）有限公司 | A kind of evaluation method of new energy vehicle course continuation mileage |
| CN110525318A (en) * | 2019-10-08 | 2019-12-03 | 安徽江淮汽车集团股份有限公司 | Electronic refrigeration vehicle control and electronic refrigerator car |
| CN110531268A (en) * | 2019-08-26 | 2019-12-03 | 汉纳森（厦门）数据股份有限公司 | A kind of method and apparatus of battery life analysis |
| CN110843536A (en) * | 2019-11-29 | 2020-02-28 | 安徽江淮汽车集团股份有限公司 | Electric automobile energy consumption calculation method, device, equipment and storage medium |
| CN111301426A (en) * | 2020-03-13 | 2020-06-19 | 南通大学 | Method for predicting energy consumption in future driving process based on GRU network model |
| CN111516500A (en) * | 2020-04-19 | 2020-08-11 | 神龙汽车有限公司 | Hybrid electric vehicle endurance mileage prediction method |
| 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 |
| CN111645566A (en) * | 2020-01-08 | 2020-09-11 | 摩登汽车有限公司 | Method and device for calculating endurance mileage of electric vehicle, vehicle control unit and electric vehicle |
| CN111775771A (en) * | 2020-06-18 | 2020-10-16 | 合肥国轩高科动力能源有限公司 | New energy electric vehicle endurance early warning method |
| CN111985069A (en) * | 2019-05-21 | 2020-11-24 | 彩虹无线（北京）新技术有限公司 | Method, device and equipment for determining battery endurance mileage and readable storage medium |
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| CN109552050A (en) * | 2018-11-22 | 2019-04-02 | 上海元城汽车技术有限公司 | Electric vehicle average current drain determines method and apparatus |
| CN109631901A (en) * | 2018-12-27 | 2019-04-16 | 奇瑞商用车（安徽）有限公司 | A kind of calculation method of the corresponding electrical demand of new-energy automobile course continuation mileage |
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| CN110525318A (en) * | 2019-10-08 | 2019-12-03 | 安徽江淮汽车集团股份有限公司 | Electronic refrigeration vehicle control and electronic refrigerator car |
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| CN111645566B (en) * | 2020-01-08 | 2022-05-17 | 摩登汽车有限公司 | Method and device for calculating endurance mileage of electric vehicle, vehicle control unit and electric vehicle |
| CN113335131A (en) * | 2020-02-18 | 2021-09-03 | 宁波吉利汽车研究开发有限公司 | Vehicle endurance mileage prediction method, device, equipment and storage medium |
| CN111301426A (en) * | 2020-03-13 | 2020-06-19 | 南通大学 | Method for predicting energy consumption in future driving process based on GRU network model |
| CN111516500B (en) * | 2020-04-19 | 2022-02-11 | 神龙汽车有限公司 | Hybrid electric vehicle endurance mileage prediction method |
| CN111516500A (en) * | 2020-04-19 | 2020-08-11 | 神龙汽车有限公司 | Hybrid electric vehicle endurance mileage prediction method |
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Application publication date: 20181116 |