CN108957328A - A kind of electricity load-balancing algorithm of automobile-used identifying system - Google Patents
A kind of electricity load-balancing algorithm of automobile-used identifying system Download PDFInfo
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- CN108957328A CN108957328A CN201710377760.8A CN201710377760A CN108957328A CN 108957328 A CN108957328 A CN 108957328A CN 201710377760 A CN201710377760 A CN 201710377760A CN 108957328 A CN108957328 A CN 108957328A
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Abstract
The present invention relates to a kind of electricity load-balancing algorithms of automobile-used identifying system, comprising the following steps: S1, acquires the voltage of battery and the range of vehicle；S2, judge that vehicle is static or driving status by detection vehicular electric machine phase line variation, Static Electro quantity algorithm is then used to calculate the current electric quantity of battery if it is stationary state, the current electric quantity for then calculating battery with dynamic electric quantity algorithm if it is driving status, calculates separately the current electric quantity in multiple periods；S3, the practical electricity that software filtering algorithm calculates battery by the voltage value in multiple periods is reused, the present invention can estimate vehicle in the actually active electricity of different conditions by simple to operation and low-cost method, and circuit is simple, low in cost, and it is accurate to stablize.
Description
Technical field
The present invention relates to a kind of electricity load-balancing algorithms of automobile-used identifying system, belong to electric motor intelligent control field.
Background technique
The energy of electric vehicle is mainly derived from vehicle mounted dynamic battery, and vehicle mounted dynamic battery is usually by multiple A-batteries
It is monomer series-connected to form.Due to battery cell in batch production on always there is more or less difference, power battery exists
In charge and discharge process, some monomer voltages can be higher, and some monomer voltages can be relatively low, and there have been whole energy for such power battery
The inhomogeneities of amount.If power battery is chronically at this inconsistent state, other than the service life that will affect battery,
It is also easy to cause cell damage, or even explodes.Once such case occurs, it can undoubtedly make the property and life security of the people
It sustains a great loss,
In order to eliminate the inhomogeneities of battery cell, generally use open circuit voltage method: algorithm advantage: circuit is simple, algorithm
Simply, at low cost, but the algorithm shortcomings: real time electrical quantity fluctuation is larger, inaccuracy.
There are also coulomb electric charge method is used, the algorithm advantage: real time electrical quantity is more accurate, the algorithm shortcomings: circuit is complicated,
High current (tens amperes or more) occasion is not easy to realize, higher cost
Although this method can meet the function of uniform power battery to a certain extent, control circuit is very multiple
It is miscellaneous, the production cost of electric vehicle is increased, and energy consumption is serious in the process, has violated the development original intention of new energy vehicle.
Summary of the invention
The technical problem to be solved by the present invention is in order to overcome the problems referred above, a kind of easy easily realize and at low cost is provided
Automobile-used identifying system electricity load-balancing algorithm.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of electricity load-balancing algorithm of automobile-used identifying system, comprising the following steps:
The range of S1, the voltage for acquiring battery and vehicle；
S2, judge that vehicle is static or driving status by detection vehicular electric machine phase line variation, if it is stationary state
The current electric quantity that battery is then calculated using Static Electro quantity algorithm, then calculates electricity with dynamic electric quantity algorithm if it is driving status
The current electric quantity in pond calculates separately the current electric quantity in multiple periods；
S3, the practical electricity that software filtering algorithm calculates battery by the voltage value in multiple periods is reused.
Preferably, the Static Electro quantity algorithm specifically:
A1, by way of partial pressure and ADC sample conversion to battery terminal voltage acquire, obtain battery current voltage Vc；
A2, the end voltage by measurement battery when fully charged, obtaining battery expires piezoelectric voltage Vb；
A3, by measure battery discharge completely after voltage, obtain cell voltage Vt；
A4, by following formula estimate battery capacity η: η it is quiet=(Vc-Vt)/(Vb-Vt).
Preferably, the dynamic electric quantity algorithm specifically:
Vehicle travelable total range Lm when B1, measurement are full electric；
B2, the range variation for measuring electric vehicle, obtain range variation delta L；
B3, static remaining (continuation of the journey) the range Le of battery can be estimated by above-mentioned formula；
B4, electric vehicle by it is quiet → to dynamic state electricity algorithm: η is dynamic=(Le- Δ L)/Lm.
Preferably, the software filtering algorithm specifically:
According to the current electric quantity in N number of period of acquisition:
1st period, electricity are denoted as η 1；
2nd period, electricity are denoted as η 2；
3rd period, electricity are denoted as η 3；
……
N-th period, electricity are denoted as η N；
1st period electricity: η z=η 1；
2nd period electricity: η z=(η 1+ η 2)/2；
3rd period electricity: η z=(η 1+ η 2+ η 3)/3；
……
N-th period electricity: η z=(η N-9+ η 2+ η 3+ ...+η N)/10；
N-th period electricity: η z is the practical electricity of battery.
Preferably, the voltage after the input port the Chip Microcomputer A/D C partial pressure that acquisition is connect with battery, passes through intrinsic standoff ratio reduction cell
Virtual voltage.
Preferably, motor phases line voltage changing rule is acquired, pulse signal is converted to by voltage comparator, uses monolithic
Fracture detects pulse number come the range that converts in machine.
The beneficial effects of the present invention are: the present invention can estimate vehicle not by simple to operation and low-cost method
With the actually active electricity of state, and circuit is simple, low in cost, and it is accurate to stablize.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is the flow chart of one embodiment of the invention.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further explained in detail.These attached drawings are simplified schematic diagram, only with
Illustration illustrates basic structure of the invention, therefore it only shows the composition relevant to the invention.
Embodiment 1
A kind of electricity load-balancing algorithm of automobile-used identifying system of the present invention as shown in Figure 1, comprising the following steps:
The range (and mileage) of S1, the voltage for acquiring battery and vehicle, can be acquired by existing technological means；
S2, judge that vehicle is static or driving status by detection vehicular electric machine phase line variation, if it is stationary state
The current electric quantity that battery is then calculated using Static Electro quantity algorithm, then calculates electricity with dynamic electric quantity algorithm if it is driving status
The current electric quantity in pond calculates separately the current electric quantity in multiple periods；
S3, the practical electricity that software filtering algorithm calculates battery by the voltage value in multiple periods is reused.
In a preferred embodiment, the Static Electro quantity algorithm specifically:
A1, by way of partial pressure and ADC sample conversion to battery terminal voltage acquire, obtain battery current voltage Vc；
A2, the end voltage by measurement battery when fully charged, obtaining battery expires piezoelectric voltage Vb；
A3, by measure battery discharge completely after voltage, obtain cell voltage Vt；
A4, by following formula estimate battery capacity η: η it is quiet=(Vc-Vt)/(Vb-Vt).
In a preferred embodiment, the dynamic electric quantity algorithm specifically:
Vehicle travelable total range Lm when B1, measurement are full electric；
B2, the mileage variation for measuring electric vehicle, obtain mileage variation delta L；
B3, static remaining (continuation of the journey) the range Le of battery can be estimated by above-mentioned formula；
B4, electric vehicle by it is quiet → to dynamic state electricity algorithm: η is dynamic=(Le- Δ L)/Lm.
In a preferred embodiment, due to multiple periods of acquisition, due to being in static or dynamic in some periods
Compare explicitly, having the period is to be in be driven by static state progress dynamic traveling or dynamic row into static state, therefore the period is in
One transit time, therefore in order to more accurate, it can be by the circuit counting mode of transient period are as follows: η transition=(quiet+η of η is dynamic)/
2。
In a preferred embodiment, the software filtering algorithm specifically:
According to the current electric quantity in N number of period of acquisition, in each period according to its be in static or dynamic state into
Row calculates separately, and obtains following each state electricity:
1st period, electricity are denoted as η 1；
2nd period, electricity are denoted as η 2；
3rd period, electricity are denoted as η 3；
……
N-th period, electricity are denoted as η N；
1st period electricity: η z=η 1；
2nd period electricity: η z=(η 1+ η 2)/2；
3rd period electricity: η z=(η 1+ η 2+ η 3)/3；
……
N-th period electricity: η z=(η N1+ η 2+ η 3+ ...+η N)/10；
N-th period electricity: η z is the practical electricity of battery.
In a preferred embodiment, the voltage after the input port the Chip Microcomputer A/D C partial pressure that acquisition is connect with battery, by dividing
Pressure ratio reduction cell virtual voltage.
In a preferred embodiment, motor phases line voltage changing rule is acquired, arteries and veins is converted to by voltage comparator
Signal is rushed, with singlechip interruption mouth detection pulse number come the range that converts.
Embodiment 2
One embodiment is provided With reference to embodiment, by taking certain brand 48V vehicle as an example, is full of piezoelectric voltage
52.8V, completely voltage 41V after electric discharge, full electricity total kilometrage Lm be 35Km (this parameter by depot and the parameter of battery manufacturer offer,
Different automobile types parameter has difference).
When stationary vehicle, the voltage that ADC is sampled is 49.9V, then being obtained by above-mentioned formula:
Static degree battery capacity η is quiet=(49.9-41)/(52.8-41)=74.5%.
Vehicle start moment, the voltage that ADC is sampled are 49V, and do not detect Δ L variation also at this time, calculation formula: η moves=η
Quiet=(49-41)/(52.8-41)=67.8%.
It is so η transition=(quiet+η of η is dynamic)/2=71.1% by the quiet electricity to dynamic transition.
Battery static state residue (continuation of the journey) range Le=Lm* η is quiet=35*71.1%=24.90Km.
In vehicle driving, measuring mileage variation delta L is 2Km, then η moves=(24.9-2)/35=65.4%.
If 30 seconds calculate an electricity by above-mentioned formula, 5 periods are taken:
1st time, η 1=69.7%, real time electrical quantity 69.70%
2nd time, η 2=69.8%, real time electrical quantity (69.7%+69.8%)/2=69.75%
3rd time, η 3=69.5%, real time electrical quantity (69.7%+69.8%+69.5%)/3=69.67%
The 4th, η 4=69.1%, real time electrical quantity (69.7%+69.8%+69.5%+69.1%)/4=69.53%
The 5th, η 5=67.3%, real time electrical quantity (69.7%+69.8%+69.5%+69.1%+67.3%)/5=
69.08%
6th time, η 6=68.7%, real time electrical quantity (69.8%+69.5%+69.1%+67.3%+68.7%)/5=
68.88% that final 6th obtained η 6=68.7%, real time electrical quantity (69.8%+69.5%+69.1%+67.3%+
68.7%)/5=68.88% is the practical electricity of battery.
Taking the above-mentioned ideal embodiment according to the present invention as inspiration, through the above description, relevant staff is complete
Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention
Property range is not limited to the contents of the specification, it is necessary to which the technical scope thereof is determined according to the scope of the claim.
Claims (6)
1. a kind of electricity load-balancing algorithm of automobile-used identifying system, which comprises the following steps:
The range of S1, the voltage for acquiring battery and vehicle；
S2, judge that vehicle is static or driving status by detection vehicular electric machine phase line variation, then adopted if it is stationary state
The current electric quantity that battery is calculated with Static Electro quantity algorithm then calculates battery with dynamic electric quantity algorithm if it is driving status
Current electric quantity calculates separately the current electric quantity in multiple periods；
S3, the practical electricity that software filtering algorithm calculates battery by the voltage value in multiple periods is reused.
2. the electricity load-balancing algorithm of automobile-used identifying system as described in claim 1, which is characterized in that the static state electricity
Algorithm specifically:
A1, by way of partial pressure and ADC sample conversion to battery terminal voltage acquire, obtain battery current voltage Vc；
A2, the end voltage by measurement battery when fully charged, obtaining battery expires piezoelectric voltage Vb；
A3, by measure battery discharge completely after voltage, obtain cell voltage Vt；
A4, battery capacity is estimated by following formula
3. the electricity load-balancing algorithm of automobile-used identifying system as described in claim 1, which is characterized in that the dynamic electricity
Algorithm specifically:
Vehicle travelable total range Lm when B1, measurement are full electric；
B2, the range variation for measuring electric vehicle, obtain range variation delta L；
B3, static remaining (continuation of the journey) the range Le of battery can be estimated by above-mentioned formula；
B4, electric vehicle by it is quiet → to dynamic state electricity algorithm:
4. the electricity load-balancing algorithm of automobile-used identifying system as described in claim 1, which is characterized in that the software filtering
Algorithm specifically:
According to the current electric quantity in N number of period of acquisition:
1st period, electricity are denoted as
2nd period, electricity are denoted as
3rd period, electricity are denoted as
……
N-th period, electricity are denoted as
1st period electricity:
2nd period electricity:
3rd period electricity:
……
N-th period electricity:
N-th period electricity:The as practical electricity of battery.
5. the electricity load-balancing algorithm of automobile-used identifying system as described in claim 1, which is characterized in that acquisition connects with battery
Voltage after the input port the Chip Microcomputer A/D C partial pressure connect, passes through intrinsic standoff ratio reduction cell virtual voltage.
6. the electricity load-balancing algorithm of automobile-used identifying system as described in claim 1, which is characterized in that acquisition motor phase line
Voltage change rule, is converted to pulse signal by voltage comparator, detects pulse number with singlechip interruption mouth to convert
Range.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110456281A (en) * | 2019-06-28 | 2019-11-15 | 卧安科技(深圳)有限公司 | Battery electricity detection method, electronic equipment and storage medium |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200944133Y (en) * | 2006-09-18 | 2007-09-05 | 浙江亿源光电科技有限公司 | Remaining mileage display system of electric bicycle |
| CN102009649A (en) * | 2010-12-01 | 2011-04-13 | 重庆长安汽车股份有限公司 | Limited torque clutch control method for power coupling device of hybrid vehicle |
| CN102255355A (en) * | 2011-06-30 | 2011-11-23 | 西安交通大学 | Electric vehicle energy management system and method thereof based on hybrid stored energy |
| CN102508172A (en) * | 2011-11-23 | 2012-06-20 | 中兴通讯股份有限公司 | Calculation method for electric quantities of battery, device and terminal |
| CN102906582A (en) * | 2010-05-21 | 2013-01-30 | 丰田自动车株式会社 | Diagnosis device and diagnosis method for secondary battery, and vehicle |
| CN103148860A (en) * | 2011-12-06 | 2013-06-12 | 财团法人车辆研究测试中心 | Planning method for electric vehicle recursive path |
| CN103257323A (en) * | 2013-06-03 | 2013-08-21 | 清华大学 | Method for estimating lithium ion battery remaining available capacity |
| JP2013169079A (en) * | 2012-02-15 | 2013-08-29 | Isuzu Motors Ltd | Power supply system for automobile, vehicle and electricity supply method of vehicle |
| CN103481791A (en) * | 2013-09-04 | 2014-01-01 | 淄博京科电气研究所 | Electric vehicle driving balance type gel battery management system |
| CN104865533A (en) * | 2015-04-30 | 2015-08-26 | 江苏中辆科技有限公司 | High-precision display method for state of charge (SOC) of on-vehicle power supply |
| CN105216644A (en) * | 2015-10-13 | 2016-01-06 | 莆田市云驰新能源汽车研究院有限公司 | A kind of electronlmobil course continuation mileage method of calculating and device |
| CN105590036A (en) * | 2016-03-22 | 2016-05-18 | 广州分享车联网科技有限公司 | Automobile battery management method, system and device |
| KR101627350B1 (en) * | 2015-01-07 | 2016-06-08 | 백경현 | Bike with wind power generation system |
| CN106203651A (en) * | 2016-07-01 | 2016-12-07 | 宁波轩悦行电动汽车服务有限公司 | Electric automobile timesharing leasing system child servers is estimated electricity and is preengage method of hiring a car |
| CN205901350U (en) * | 2016-06-27 | 2017-01-18 | 低碳动能开发股份有限公司 | Automobile -used starting battery's battery management system |
| CN106530977A (en) * | 2016-10-14 | 2017-03-22 | 武汉通畅汽车电子照明有限公司 | OLED position lamp capable of displaying battery level, and lamp control device thereof |
| CN106585386A (en) * | 2015-10-19 | 2017-04-26 | 北京新能源汽车股份有限公司 | Driving range displaying method, device and system for electric automobile |
-
2017
- 2017-05-19 CN CN201710377760.8A patent/CN108957328A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200944133Y (en) * | 2006-09-18 | 2007-09-05 | 浙江亿源光电科技有限公司 | Remaining mileage display system of electric bicycle |
| CN102906582A (en) * | 2010-05-21 | 2013-01-30 | 丰田自动车株式会社 | Diagnosis device and diagnosis method for secondary battery, and vehicle |
| CN102009649A (en) * | 2010-12-01 | 2011-04-13 | 重庆长安汽车股份有限公司 | Limited torque clutch control method for power coupling device of hybrid vehicle |
| CN102255355A (en) * | 2011-06-30 | 2011-11-23 | 西安交通大学 | Electric vehicle energy management system and method thereof based on hybrid stored energy |
| CN102508172A (en) * | 2011-11-23 | 2012-06-20 | 中兴通讯股份有限公司 | Calculation method for electric quantities of battery, device and terminal |
| CN103148860A (en) * | 2011-12-06 | 2013-06-12 | 财团法人车辆研究测试中心 | Planning method for electric vehicle recursive path |
| JP2013169079A (en) * | 2012-02-15 | 2013-08-29 | Isuzu Motors Ltd | Power supply system for automobile, vehicle and electricity supply method of vehicle |
| CN103257323A (en) * | 2013-06-03 | 2013-08-21 | 清华大学 | Method for estimating lithium ion battery remaining available capacity |
| CN103481791A (en) * | 2013-09-04 | 2014-01-01 | 淄博京科电气研究所 | Electric vehicle driving balance type gel battery management system |
| KR101627350B1 (en) * | 2015-01-07 | 2016-06-08 | 백경현 | Bike with wind power generation system |
| CN104865533A (en) * | 2015-04-30 | 2015-08-26 | 江苏中辆科技有限公司 | High-precision display method for state of charge (SOC) of on-vehicle power supply |
| CN105216644A (en) * | 2015-10-13 | 2016-01-06 | 莆田市云驰新能源汽车研究院有限公司 | A kind of electronlmobil course continuation mileage method of calculating and device |
| CN106585386A (en) * | 2015-10-19 | 2017-04-26 | 北京新能源汽车股份有限公司 | Driving range displaying method, device and system for electric automobile |
| CN105590036A (en) * | 2016-03-22 | 2016-05-18 | 广州分享车联网科技有限公司 | Automobile battery management method, system and device |
| CN205901350U (en) * | 2016-06-27 | 2017-01-18 | 低碳动能开发股份有限公司 | Automobile -used starting battery's battery management system |
| CN106203651A (en) * | 2016-07-01 | 2016-12-07 | 宁波轩悦行电动汽车服务有限公司 | Electric automobile timesharing leasing system child servers is estimated electricity and is preengage method of hiring a car |
| CN106530977A (en) * | 2016-10-14 | 2017-03-22 | 武汉通畅汽车电子照明有限公司 | OLED position lamp capable of displaying battery level, and lamp control device thereof |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110456281A (en) * | 2019-06-28 | 2019-11-15 | 卧安科技(深圳)有限公司 | Battery electricity detection method, electronic equipment and storage medium |
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