CN108001261A - Power battery charged state computational methods and monitoring device based on fuzzy algorithmic approach - Google Patents
Power battery charged state computational methods and monitoring device based on fuzzy algorithmic approach Download PDFInfo
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- CN108001261A CN108001261A CN201711119326.6A CN201711119326A CN108001261A CN 108001261 A CN108001261 A CN 108001261A CN 201711119326 A CN201711119326 A CN 201711119326A CN 108001261 A CN108001261 A CN 108001261A
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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]
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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
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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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
- 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
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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
- 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
- B60L2240/545—Temperature
-
- 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
- B60L2240/547—Voltage
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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
- 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
- B60L2240/549—Current
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- 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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Abstract
The invention discloses a kind of power battery charged state computational methods and device based on fuzzy algorithmic approach, this method comprises the following steps：1）Selection input, output variable；2）Definition input, output membership function；3）Establish fuzzy control rule；4）Carry out fuzzy reasoning；5）De-fuzzy；Battery charge state monitoring device based on fuzzy algorithmic approach, the data acquisition module and LCD MODULE being connected including microprocessor and respectively with microprocessor, data acquisition module can gather voltage, electric current, temperature and the resistance value of power battery and be transmitted to microprocessor, further include host computer, host computer is connected with microprocessor and and can realize the transmission of data, and upper function obtains SOC value of battery using the battery charge state computational methods based on fuzzy algorithmic approach.The present invention has the following advantages and effects：The monitoring device can detect voltage, electric current, resistance and the temperature value of battery, and calculate SOC value of battery by the power battery charged state computational methods based on fuzzy algorithmic approach.
Description
Technical field
The present invention relates to electric automobile power battery management system field, more particularly to a kind of power based on fuzzy algorithmic approach
Battery charge state computational methods and monitoring device.
Background technology
Environmental pollution and problem of energy crisis with getting worse, new-energy automobile have become future automobile industry
Important directions.And accurately battery condition then become promote Development of Electric Vehicles an important factor for, storage battery it is accurate
Property can not only influence user plan stroke, can more influence battery durable mileage and battery.At present, in country
Vigorously advocate lower electric automobile and have become a kind of facilitation walking-replacing tool that China resident is ready to attempt extensively.
On current battery charge state（SOC value of battery）Evaluation method have it is following several：（1）Current integrating method,
Know battery original state, current acquisition precision be high, the duration will not it is too long of in the case of have higher estimated accuracy.But
The original state for being during normal use battery is difficult to know, acquisition precision is low.（2）Open circuit voltage method, this method are only limitted to
Battery uses under open-circuit condition, and since power battery is there are capacitive character, also a very long time is stood after battery open circuit
Real open-circuit voltage current potential can be just returned to, so difficult to realize.（3）Kalman filtering method, this method is to battery model
Dependence it is very strong, it is ensured that estimated accuracy requirement have accurate battery model parameter, obtain power battery for parameter time varying
Say to compare and be difficult to obtain.
The content of the invention
The object of the present invention is to provide a kind of power battery charged state computational methods based on fuzzy algorithmic approach, pass through electricity
Pressure, electric current, resistance and temperature value input and can calculate accurate SOC value of battery using the algorithm.
The present invention above-mentioned technical purpose technical scheme is that：A kind of electricity based on fuzzy algorithmic approach
Pond state-of-charge computational methods, include the following steps：1）Selection input, output variable, select voltage, electric current, temperature and resistance
Value is used as input signal, selects SOC value of battery as output signal；2）Definition input, output membership function, setting voltage are surveyed
Value is divided into nine fringes for e1 and by e1, and e2 for e2 and is divided into six fringes by setting electric current measured value,
Resistivity measurements are set as e3 and e3 is divided into three fringes, e4 for e4 and is divided into five by design temperature measured value
Fringe, sets SOC value of battery as u and u is divided into five fringes, person in servitude is each established to above-mentioned all fringes
Category degree function；3）Fuzzy control rule is established, the mould according to a large amount of actual measurement datas to current measurement value e1, e2, e3 and e4
Paste state formulates corresponding fuzzy control rule；4）Fuzzy reasoning is carried out, obtains SOC value of battery u's by fuzzy control rule
Fringe；5）De-fuzzy, using weighted mean method de-fuzzy, obtains accurate SOC value of battery.
By using above-mentioned technical proposal, with the voltage of battery, electric current, temperature and internal resistance are inputted as fuzzy control, especially
It selects internal resistance more accurate as input, prediction result.Because the aging of battery, the change of temperature, the internal resistance of battery all can
With changing, and the estimation of these factors affect battery charge states, so prediction of the change of internal resistance to SOC has
Very big influence, and this factor is taken into account by the internal resistance of cell, obtained prediction result will be more accurate.FUZZY ALGORITHMS FOR CONTROL
It is the fuzzy control rule established by lot of experimental data, and has obtained preferable performance results.
Another object of the present invention is to provide a kind of battery charge state monitoring device based on fuzzy algorithmic approach, the monitoring
Device can detect voltage, electric current, resistance and the temperature value of battery and send data to host computer by communication and handled,
At the same time the device be also associated with display and can show the voltage of power battery, electric current, temperature, resistance internal resistance, run time,
SOC value of battery and failure code information.
The present invention above-mentioned technical purpose technical scheme is that：A kind of electricity based on fuzzy algorithmic approach
Pond state-of-charge monitoring device, including microprocessor and the data acquisition module and liquid crystal display mode that are connected respectively with microprocessor
Block, the data acquisition module can gather voltage, electric current, temperature and the resistance value of power battery and be transmitted to microprocessor, also
Including host computer, the host computer is connected with microprocessor and can realize the transmission of data, and the upper function exploitation right profit requires 1
The battery charge state computational methods based on fuzzy algorithmic approach obtain SOC value of battery.
By using above-mentioned technical proposal, data acquisition module can gather voltage, electric current, temperature and the resistance of power battery
It is worth and is transmitted to microprocessor, microprocessor connection host computer simultaneously transfers data to host computer, the electricity that host computer will transmit
Four pressure, electric current, temperature, internal resistance parameters are handled.
It is further arranged to：The data acquisition module connects trigger switch, the control terminal and Wei Chu of the trigger switch
Device connection is managed, the microprocessor can control the start and stop state of data acquisition module by the control terminal of trigger switch.
By using above-mentioned technical proposal, when there is data exception or data acquisition module breaks down, it can utilize and touch
Hair switch closes data acquisition module to stop data acquisition.
It is further arranged to：The data acquisition module includes voltage detection unit, current detecting unit, temperature detection list
Member, resistance detection unit and timer and it is connected respectively with microprocessor and can realizes the transmission of data, the voltage detecting list
Member, current detecting unit, temperature detecting unit and resistance detection unit are both provided with AD conversion unit and by AD conversion units
Realize AD conversion, timer is used for the run time for calculating power battery.
By using above-mentioned technical proposal, corresponding data can be collected, wherein being collected by voltage detection unit dynamic
The magnitude of voltage of power battery simultaneously passes through AD conversion cell translation into corresponding digital signal；Power is collected by current detecting unit
The current value of battery simultaneously passes through AD conversion cell translation into corresponding digital signal；Power electric is collected by temperature detecting unit
The temperature value in pond simultaneously passes through AD conversion cell translation into corresponding digital signal；Power battery is collected by internal resistance detection unit
Internal resistance value and by AD conversion cell translation into corresponding digital signal.
It is further arranged to：The host computer and LCD MODULE are respectively provided with the communication that communication can be realized with microprocessor
Interface, the LCD MODULE can show voltage, electric current, temperature, resistance internal resistance, run time, the electric charge of power battery
SOC value and failure code information.
By using above-mentioned technical proposal, microprocessor by communication interface respectively with host computer and LCD MODULE into
Row communication, so as to fulfill the transmission of data.LCD MODULE can show temperature, electric current, voltage, internal resistance and the electricity of power battery
Pond SOC value, the behaviour in service of electric automobile power battery and the course continuation mileage of power battery are understood for user.Work as power battery
Overcharge, overdischarge, power battery surface temperature excessively high failure when, LCD MODULE can show the abnormality of battery
To remind user's parking checking or maintenance.
Brief description of the drawings
Fig. 1 is the structure diagram of embodiment；
Fig. 2 is the FB(flow block) of fuzzy algorithmic approach in embodiment；
Fig. 3 is the figure of three kinds of membership functions in embodiment；
Fig. 4 is fuzzy control rule 1 in embodiment；
Fig. 5 is fuzzy control rule 2 in embodiment；
Fig. 6 is fuzzy control rule 3 in embodiment.
In figure：1st, power battery；2nd, data acquisition module；3rd, voltage detection unit；4th, current detecting unit；5th, temperature is examined
Survey unit；6th, resistance detection unit；7th, timer；8th, microprocessor；9th, LCD MODULE；10th, host computer.
Embodiment
The present invention is described in further detail below in conjunction with attached drawing.
With reference to figure 1, a kind of 1 state-of-charge monitoring device of power battery based on fuzzy control, including data acquisition module
2, data acquisition module 2 connects microprocessor 8 and can be by the data transfer of collection to microprocessor 8, host computer 10 and liquid crystal
Show that module 9 is respectively provided with communication interface and the transmission of data is realized by communication interface and microprocessor 8.
Wherein, the data acquisition module 2 include voltage detection unit 3, current detecting unit 4, temperature detecting unit 5,
Resistance detection unit 6 and timer 7 and it is connected respectively with microprocessor 8 and can realizes the transmission of data, the voltage detecting list
Member 3, current detecting unit 4, temperature detecting unit 5 and resistance detection unit 6 are both provided with AD conversion unit and pass through AD conversion
Unit realizes AD conversion, and timer 7 is used for the run time for calculating power battery 1.Data acquisition module 2 is also associated with triggering and opens
Close, the control terminal of trigger switch is connected with microprocessor 8, controls data to adopt by receiving the signal of the transmission of microprocessor 8
Collect the start and stop state of module 2.When there is data exception or data acquisition module 2 breaks down, trigger switch can be utilized to close
Data acquisition module 2 is to stop data acquisition.
Voltage detection unit 3 includes voltage sensor, voltage sensor be connected to power battery 1 positive and negative anodes busbar it
Between, the output terminal of voltage sensor is connected with AD conversion unit, and AD conversion unit can believe the simulation of the magnitude of voltage detected
Number it is converted into corresponding digital signal.Current detecting unit 4 includes current sensor, and current sensor is serially connected with power battery 1
Positive electrode bus on, the output terminal of current sensor is connected with AD conversion unit, the electric current that AD conversion unit will can detect
The analog signal of value is converted into corresponding digital signal.Temperature detecting unit 5 includes temperature sensor, and temperature sensor is affixed on dynamic
The surface of power battery 1, the output terminal of temperature sensor are connected with AD conversion unit, the temperature that AD conversion unit will can detect
The analog signal of value is converted into corresponding digital signal.Internal resistance detection unit includes internal resistance measurement instrument, and internal resistance measurement instrument is serially connected with
On the positive and negative anodes busbar of power battery 1, the output terminal of internal resistance measurement instrument is connected with AD conversion unit, and AD conversion form unit can incite somebody to action
The analog signal of the resistance value detected, which is walked around, changes corresponding digital signal into.By the voltage of AD conversion, electric current, temperature and electricity
The digital signal of resistance is transmitted to microprocessor 8.
Microprocessor 8 is received after digital signal handled, and host computer 10 is transmitted to by communication interface, here logical
News mode is communicated using I2C buses, and popularity rate of the I2C buses on chip is high and hardware configuration is simple.Host computer 10 is received
To after signal, battery charge state is calculated according to FUZZY ALGORITHMS FOR CONTROL.Since the state-of-charge of battery cannot be measured directly, only
The state-of-charge of battery can be estimated by measuring the other specification of battery, so estimating battery using FUZZY ALGORITHMS FOR CONTROL
State-of-charge, it is particularly important that the selection of parameter.The wherein voltage of battery, electric current, temperature and internal resistance and the state-of-charge of battery
Correlation is big, therefore gathers above-mentioned data and can make the estimation accuracy higher of FUZZY ALGORITHMS FOR CONTROL.Estimate accurate battery
Communication interface is recycled after SOC value, and by the data transfer to microprocessor 8, microprocessor 8 connects LCD MODULE 9 and passes through
Communication interface sends data to LCD MODULE 9, and communication here is also to be communicated using I2C buses.Liquid crystal display
Module 9 can show the SOC value of battery of power battery 1 by the liquid crystal display in it, moreover it is possible to show the temperature of power battery 1
Degree, electric current, voltage and internal resistance value, the behaviour in service of electric automobile power battery 1 and the continuation of the journey of power battery 1 are understood for user
Mileage.When power battery 1 overcharges, overdischarge, 1 surface temperature high failure excessively of power battery when, 9 energy of LCD MODULE
Show the abnormality of battery to remind user's parking checking or maintenance.
With reference to figure 2, the step of FUZZY ALGORITHMS FOR CONTROL, is：
1. select input variable and output variable
Selection suitable input variable and output variable, are the first steps of FUZZY ALGORITHMS FOR CONTROL.Since input variable and output become
The selection of amount has a significant impact the result of FUZZY ALGORITHMS FOR CONTROL, it is therefore necessary to consideration it is very thorough.Present invention selection battery
Voltage, electric current, temperature and resistance value as input variable, especially select internal resistance more accurate as input, prediction result.Cause
For the aging of battery, the change of temperature, the internal resistance of battery all can be with changing, and these factors affect battery charge shapes
The estimation of state, so prediction of the change of internal resistance on SOC has very big influence.At the same time using SOC value of battery as output variable.
2. define input and output membership function
With reference to figure 3, for membership function, the shape of membership function is more trembled, then resolution ratio is higher, and output sensitivity is also got over
It is high；The change of membership function is slower, then sensitivity is lower.The present invention have selected most suitable according to actual a large amount of test datas
The three kinds of membership functions closed, including：
Triangleshape grade of membership function（trimf）, expression formula is：y=trimf（x[a b c]）, wherein parameter x expression variable fields
Scope, parameter a and c correspond to the vertex of left and right two of triangle lower part, and parameter b corresponds to the vertex of triangular-shaped upper portion；
S type membership functions（smf）, expression formula is y=smf（X, [a b]）, wherein x represents variable field scope, and curve exists（A,
b）Between be smooth spline curve, in a, left section is that 0, b right ends are 1, and jump is（a+b）/2.
Z-type membership function（zmf）, expression formula is y=zmf（X, [a b]）, wherein x expression variable field scopes, curve
（A, b）Between be smooth spline curve, in a, left section is that 1, b right ends are 0, and jump is（a+b）/2.
First, fuzzy set is provided to input variable.According to the measured value e1 of current voltage.E1 is divided into nine fuzzy shapes
State is that is, especially low（VVVL）, very low (VVL), very low (VL), low (L), placed in the middle (MID), high (H), very high (VH), very high
(VVH), it is especially high (VVVH).Next is selected suitable voltage range and accordingly establishes the degree of membership letter of each fringe
Number, wherein domain Range Representation is Range, is specially：
Range=[10 12.5]；
MF1='VVVL':'zmf',[10.3 10.6]；
MF2='VVL':'trimf',[10.2 10.6 11]；
MF3='VL':'trimf',[10.65 11 11.2]；
MF4='L':'trimf',[11 11.2 11.4]；
MF5='MID':'trimf',[11.2 11.4 11.6]；
MF6='H':'trimf',[11.4 11.6 11.8]；
MF7='VH':'trimf',[11.6 11.8 12]；
MF8='VVH':'trimf',[11.8 12 12.2]；
MF9='VVVH':'smf',[12.05 12.3]。
According to the measured value e2 of current flow.E2 is divided into six fringes, i.e., it is very low (VVL), very low (VL), low
(L), (MID) placed in the middle, high (H), very high (VH).Next is selected suitable current range and accordingly establishes each fringe
Membership function, is specially：
Range=[0 100]；
MF1='VVL':'zmf',[6 11]；
MF2='VL':'trimf',[8 18 27.4]；
MF3='L':'trimf',[11.8 27.4 40]；
MF4='MID':'trimf',[27.4 42 60]；
MF5='H':'trimf',[42.7 60 77.9]；
MF6='VH':'smf',[60 77.9]。
According to the measured value e3 of current resistance.E3 is divided into three fringes, i.e., low (L), (MID) placed in the middle, high (H).
Next is selected suitable current range and accordingly establishes the membership function of each fringe, is specially：
Range=[20 38]；
MF1='L':'zmf',[20.72 26.48]；
MF2='MID':'trimf',[24 26 30]；
MF3='H':'smf',[28 38]。
According to the measured value e4 of Current Temperatures.E4 is divided into five fringes, i.e., it is low (L), very high（VH）, it is very low
（VL）, placed in the middle (MID), high (H).Next is selected suitable temperature range and accordingly establishes the degree of membership letter of each fringe
Number, is specially：
Range=[-40 75]；
MF1='L':'trimf',[-30 -15 10]；
MF2='VH':'smf',[50 70.4]；
MF3='VL':'zmf',[-37.13 -14.13]；
MF4='MID':'trimf',[0 20 38]；
MF5='H':'trimf',[30 40 55]。
According to the SOC value of battery u currently drawn.U is divided into seven fringes, that is, alerts (ALARM), very low（VL）、
Low (L), placed in the middle (MID), high (H), very high (VH), be full of（FULL）, next is selected suitable temperature range and accordingly establishes
The membership function of each fringe, is specially：
Range=[0 1]；
MF1='ALARM':'trimf',[0 0 0.15]；
MF2='VL':'trimf',[0 0.15 0.31]；
MF3='L':'trimf',[0.15 0.31 0.49]；
MF4='MID':'trimf',[0.31 0.49 0.68]；
MF5='H':'trimf',[0.49 0.66 0.81]；
MF6='VH':'trimf',[0.68 0.86 1]；
MF7='FULL':'trimf',[0.885 1 1]。
3. establish fuzzy control rule
It is to be based on substantial amounts of experimental data with reference to figure 4, Fig. 5 and Fig. 6, and is drawn accordingly by experience in actual measurement process
Improved method is summarized as rule control, is specially the form of Fig. 4, Fig. 5 and Fig. 6.For example, the first row first row in Fig. 4
110 0,1 (1):1, from left to right first digit 1 represent the fringe of voltage measuring value e1, the second numeral 1
Represent the fringe of current measurement value e2, third digit 0 represents the fringe of resistivity measurements e3, fourth digit 0
Represent the fringe of measured temperature e4, the 5th numeral 1 represents corresponding SOC value of battery u, and the 6th numeral 1 is bracket
In 1 represent weight, the 7th numeral 1 represents that the relation of input quantity is " and ", that is, needs the fuzzy shapes for meeting four inputs at the same time
The fringe that state just can be exported accordingly.
4. carry out fuzzy reasoning
According to " if the sentence of A and B and C and D, E " carry out fuzzy reasoning, equally with the first row first row of form in Fig. 4
110 0,1 (1):1 illustrates, when the fringe of the voltage measuring value e1 of input quantity is 1, current measurement value e2
It is defeated in the case that fringe is 2, the fringe of resistivity measurements e3 is 0 and the fringe of measured temperature e4 is 0
1 can be just derived as by going out SOC value of battery u.Fuzzy rule based on foundation, different input fringe groups is by carrying out fuzzy push away
Reason, can obtain the fringe of accordingly output u, SOC value of battery u fringes are simultaneously inaccurate, also need to make by de-fuzzy
As a result it is more accurate.
5. de-fuzzy
De-fuzzy has a variety of methods, have selected weighted mean method here, and formula is (k1*a1+k2*a2+k3*a3+....+
Kn*an)/(k1+k2+k3+...+kn), wherein (a1, a2, a3 ... .an) the multiple SOC value of battery of expression, coefficient (k1,
K2, k3 ... .kn) claim power, represent the data behind this coefficient, the proportion accounted in whole statistics.Therefore it can utilize and add
Weight average method, accurate battery SOC is drawn according to proportion difference.
This specific embodiment is only explanation of the invention, it is not limitation of the present invention, people in the art
Member as needed can make the present embodiment the modification of no creative contribution after this specification is read, but as long as at this
All protected in the right of invention be subject to Patent Law.
Claims (5)
1. a kind of battery charge state computational methods based on fuzzy algorithmic approach, it is characterised in that include the following steps：
1）Selection input, output variable, select voltage, electric current, temperature and resistance value to select SOC value of battery as input signal
As output signal；
2）Definition input, output membership function, set voltage measuring value as e1 and e1 are divided into nine fringes, set
Current measurement value set resistivity measurements as e3 and e3 is divided into three and obscure e2 and e2 to be divided into six fringes
E4 for e4 and is divided into five fringes, sets SOC value of battery and be divided into five as u and by u by state, design temperature measured value
Above-mentioned all fringes are each established membership function by a fringe；
3）Fuzzy control rule is established, the fringe according to a large amount of actual measurement datas to current measurement value e1, e2, e3 and e4
Formulate corresponding fuzzy control rule；
4）Fuzzy reasoning is carried out, the fringe of SOC value of battery u is obtained by fuzzy control rule；
5）De-fuzzy, using weighted mean method de-fuzzy, obtains accurate SOC value of battery.
2. a kind of battery charge state monitoring device based on fuzzy algorithmic approach, including microprocessor (8) and respectively with microprocessor
(8) data acquisition module (2) and LCD MODULE (9) of connection, the data acquisition module (2) can gather power battery
(1) voltage, electric current, temperature and resistance value are simultaneously transmitted to microprocessor (8), it is characterised in that：Further include host computer (10), institute
State host computer (10) to be connected with microprocessor and can realize the transmission of data, the host computer (10) can be utilized described in claim 1
The battery charge state computational methods based on fuzzy algorithmic approach obtain SOC value of battery.
3. the battery charge state monitoring device according to claim 2 based on fuzzy algorithmic approach, it is characterised in that：The number
Trigger switch is connected according to acquisition module (2), the control terminal of the trigger switch is connected with microprocessor (8), the microprocessor (8)
The start and stop state of data acquisition module (2) can be controlled by the control terminal of trigger switch.
4. the battery charge state monitoring device according to claim 3 based on fuzzy algorithmic approach, it is characterised in that：The number
Include voltage detection unit (3), current detecting unit (4), temperature detecting unit (5), resistance detection unit according to acquisition module (2)
(6) and timer (7) and it is connected respectively with microprocessor (8) and can realizes the transmission of data, the voltage detection unit (3),
Current detecting unit (4), temperature detecting unit (5) and resistance detection unit (6) are both provided with AD conversion unit and are turned by AD
Change unit and realize AD conversion, the timer (7) is used for the run time for calculating power battery (1).
5. the battery charge state monitoring device according to claim 2 based on fuzzy algorithmic approach, it is characterised in that：On described
Position machine (10) and LCD MODULE (9) are respectively provided with the communication interface that communication can be realized with microprocessor (8), the liquid crystal display
Module (9) can show voltage, electric current, temperature, resistance internal resistance, run time, SOC value of battery and the event of power battery (1)
Hinder code information.
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