CN103499794A - Method and device for evaluating state of charge (SOC) of energy storage battery - Google Patents

Method and device for evaluating state of charge (SOC) of energy storage battery Download PDF

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CN103499794A
CN103499794A CN201310477613.XA CN201310477613A CN103499794A CN 103499794 A CN103499794 A CN 103499794A CN 201310477613 A CN201310477613 A CN 201310477613A CN 103499794 A CN103499794 A CN 103499794A
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battery
ampere
hour
current
electric
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CN103499794B (en
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余康
董德鑫
裴丽娜
黄哲
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Guoneng Xinkong Internet Technology Co Ltd
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Beijing Huadian Tianren Power Controlling Technology Co Ltd
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Abstract

The invention provides a method and a device for evaluating the state of charge (SOC) of an energy storage battery. The method and device can evaluate the SOC of the energy storage battery in real time. The method mainly comprises the following steps: acquiring parameters of single battery voltage, battery temperature, battery pack current and the like; evaluating the SOCi (current-based SOC) and historical charging and discharging ampere-hour data in real time through ampere-hour integral of current; evaluating SOCv (voltage-based SOC) under specific conditions through open-circuit voltage correction; setting one of the SOCi and SOCv as the SOC of an energy storage battery pack, and periodically storing the SOC and the historical charging and discharging ampere-hour data. The method and device can achieve purposes of providing data support for system energy scheduling, fully utilizing the capacity of the energy storage battery, preventing the occurrence of overcharging and overdischarging, and prolonging the service life of the battery, and the like.

Description

A kind of energy-storage battery Residual capacity prediction method and device
Technical field
The invention belongs to the battery management technical field, particularly be applied to the battery management of extensive accumulator system.
Background technology
Due to its intrinsic intermittence of the generations of electricity by new energy such as wind energy, sun power, randomness, can bring adverse effect to safety, the stable operation of electrical network.The development energy storage technology, can improve its running quality.Rationally battery management system has vital effect to the life-span of battery pile and the security of whole accumulator system efficiently.
The rise of battery management system is closely connected with the popularization of electric automobile in recent years, and the battery management system of electric automobile mainly comprises battery protection, the estimation of battery instantaneous power, continual mileage estimation, the functions such as insulation detection.Electrokinetic cell is applied to the wind-powered electricity generation energy storage and still belongs at home the starting stage, different from electric automobile, and the required number of batteries of general energy storage is more, cost is huge, how taking full advantage of the capacity of energy-storage battery, and extend its serviceable life, is the long-term operation of energy storage project and the most important thing developed.
The application is for accumulator system energy dispatching requirement; a kind of relatively more accurate, reliable Residual capacity prediction method and device are proposed, the SOC of real-time estimation electric battery, log history service data; take full advantage of battery capacity under the prerequisite of protection cell safety, extend battery.
Summary of the invention
The object of the present invention is to provide a kind of accurate and practical energy-storage battery Residual capacity prediction method and device.
The application is specifically by the following technical solutions:
A kind of energy-storage battery Residual capacity prediction method, it is characterized in that: described evaluation method is by measuring the parameters such as battery cell voltage, battery temperature, series battery electric current, adopt the ampere-hour integration of electric current to proofread and correct with the monomer open-circuit voltage mode combined, the residual capacity SOCi based on the battery pack current data of real-time estimation electric battery and the residual capacity SOCv based on the batteries monomer voltage data, and one of them arranges the residual capacity SOC of electric battery with described SOCi and SOCv; In the ampere-hour integration, accumulated history discharges and recharges the ampere-hour data, and regularly history is discharged and recharged to ampere-hour and residual capacity SOC and input to storer and stored.
Further, described evaluation method specifically comprises the following steps:
(1) the electric battery residual capacity SOC initial value in read memory, and history discharges and recharges the ampere-hour initial value data;
(2) by measuring the parameters such as described battery cell voltage, battery temperature, series battery electric current, obtain corresponding voltage data, temperature data, current data;
(3) by cumulative described current data, battery pack current is carried out to the ampere-hour integration, the electric battery residual capacity SOCi of calculating based on the battery pack current data, described SOCi is set to the residual capacity SOC of electric battery, and cumulative history discharges and recharges the ampere-hour data simultaneously;
(4) measure the time of repose of energy-storage battery, after time of repose reaches the expected time, according to monomer voltage and the battery temperature of energy-storage battery, obtain the electric battery residual capacity SOCv based on the battery cell voltage data;
(5) judgement SOCv and SOCi's is poor, and when described both difference is greater than the threshold value of setting, SOCv is set to the SOC of electric battery;
(6) periodically the history of energy-storage battery group is discharged and recharged to ampere-hour data, SOC write non-volatile memory.Further, described calculating SOCi comprises the following steps:
3.1 judgement battery pack current direction, electric current is that canonical represents the energy-storage battery charging, and the ampere-hour integral result increases, and electric current represents the energy-storage battery electric discharge for bearing, and the ampere-hour integral result reduces;
3.2 periodically carry out the ampere-hour integral operation of battery pack current, the application is made as 1 millisecond by the ampere-hour integral operation cycle:
Ah (k)=Ah (k-1)+I k
SOCi=SOC0+Ah (k)/(K*Cnom);
Wherein, Ah (k): the ampere-hour integrated value of current time; Ah (k-1): gained ampere-hour integrated value during last time ampere-hour integral operation; I k: current current value, I during the energy-storage battery charging kfor just, I during electric discharge kfor negative; SOCi: the electric battery residual capacity based on the battery pack current data; SOC0: electric battery residual capacity SOC initial value; ; Cnom: battery rated capacity;
K: the unit conversion coefficient is to complete the number of times of ampere-hour integral operation in one hour, as the ampere-hour integration period is 1 millisecond, and K=3600s/1ms=3600000;
3.3 periodically carry out history, to discharge and recharge ampere-hour cumulative, and described history discharges and recharges ampere-hour and represents that energy-storage battery is from accumulator system moves for the first time and starts, total ampere-hour number of charge and discharge:
During the energy-storage battery charging, have:
Total_In_Ah (k)=Total_In_Ah (k-1)+I k
Total_Ah_In=Total_Ah_In0+Total_In_Ah (k)/K
During the energy-storage battery electric discharge, have:
Total_Out_Ah (k)=Total_Out_Ah (k-1)+I k
Total_Ah_Out=Total_Ah_Out0+Total_Out_Ah (k)/K
Wherein, Total_In_Ah (k): the history charging ampere-hour integrated value of current time; Total_In_Ah (k-1): history charging ampere-hour integrated value when last time, history discharged and recharged the ampere-hour integration; Total_Ah_In: historical charging ampere-hour; Total_Ah_In0: historical charging ampere-hour initial value; Total_Out_Ah (k): the history electric discharge ampere-hour integrated value of current time; Total_Out_Ah (k-1): history electric discharge ampere-hour integrated value when last time, history discharged and recharged the ampere-hour integration; Total_Ah_Out: historical electric discharge ampere-hour; Total_Ah_Out0: historical electric discharge ampere-hour initial value; K: with the definition of K in step 3.2
Further, described SOCv calculates and comprises the following steps:
4.1 judge whether the battery standing time reaches the expected time value;
4.2 after time of repose reaches the expected time value, judge maximum monomer battery voltage whether or minimum monomer battery voltage interval in high electric weight whether in low electric weight interval;
If, 4.3 meet two conditions in 4.2 simultaneously,, according to the corresponding relation of battery open circuit voltage under different temperatures and SOC, estimate SOCv.
Further, the described expected time is 120 seconds;
Described height electric weight interval 90%-100% and the 0%-10% of corresponding SOC respectively.
Further, when the two difference of SOCv and SOCi is greater than 2%, the SOC value new as electric battery using SOCv.
Further, in the situation that meet open-circuit voltage, proofread and correct, if high monomer voltage falls into highly charged interval, SOC value corresponding to the high monomer voltage of usining is as the SOCv of electric battery; If minimum monomer voltage falls between low charging area, with minimum monomer voltage, corresponding SOC value is set to the SOCv of electric battery.
Disclosed herein as well is a kind of energy-storage battery Residual capacity prediction device that uses above-mentioned residual capacity method of estimation, comprising:
Monomer voltage and temperature acquisition unit, measure battery cell voltage data, temperature data, and voltage and temperature data are passed through to the CAN bus transfer to the battery information operational part;
The battery pack current acquisition unit, measure the current data of electric battery, and pass through the SCI bus transfer to the battery information operational part;
The battery information operational part, receive monomer voltage data, temperature data, battery pack current data, carry out SOCi and estimate with SOCv, and described SOCi and SOCv one of them be set to the SOC of electric battery, and cumulative history discharges and recharges the ampere-hour number, the read-write of control battery information storage part;
The battery information storage part, the SOC of real-time storage electric battery and history discharge and recharge the ampere-hour data.
Further, described monomer voltage and temperature acquisition unit mainly comprise LT6802-2 reserve battery managing chip, surface-mount type thermistor, the MCU1 that reads monomer voltage and temperature data, CAN communication interface.
LT6802-2 transfers to MCU1 by the monomer voltage of measurement and temperature data by spi bus;
MCU1 by the CAN communication by monomer voltage and temperature data uploading to the battery information operational part;
The surface-mount type thermistor is fixed in the battery electrode column place.
Further, described battery pack current acquisition unit, mainly comprise two-way Hall current sensor, current signal conditioning circuit, current signal reading processor MCU2.
Hall current sensor is serially connected with total anode of electric battery, according to the direction of current difference, and exportable bidirectional analog voltage;
The analog voltage amount travel direction judgement of current signal conditioning circuit to Hall current sensor output, the outbound course signal is to MCU2, and will after the positive analog voltage amount filtering of sensor output, access MCU2, after the anti-phase and filtering of negative analog voltage, accesses MCU2;
Current signal reading processor MCU2 reads above-mentioned current direction signal, the judgement direction of current, and the analog voltage amount of sensor output is carried out to the AD conversion, calculate current value, in real time cumulative battery current value, periodically pass through the processor MCU 3 of SCI bus transfer to the battery information operational part by current value and current value accumulation result.After every primary current accumulation results transfers to MCU3, the electric current accumulation results in MCU2 is cleared.
Further, described battery information operational part comprises battery information arithmetic processor MCU3, CAN communication interface.
Current value and electric current accumulated value that the monomer voltage that MCU3 reception MCU1 uploads and temperature data, MCU2 upload.By cumulative current data, the SOCi of estimating battery group; The judgement time of repose, according to monomer voltage and temperature, the SOCv of estimating battery group, finally by a SOC who is set to electric battery in described SOCi and SOCv.
Further, described battery information operational part, when carrying out the SOC estimation, carry out history and discharge and recharge the cumulative of ampere-hour data, and described history is discharged and recharged to the ampere-hour data and SOC writes the battery information storage part.
Further, described battery information storage part is FM3164 by model nonvolatile memory and peripheral circuit thereof form.
The processor MCU 3 of battery information operational part reads and writes operation by iic bus to above-mentioned nonvolatile memory.
The application has following beneficial effect:
Adopt the ampere-hour integration, the residual capacity of real-time estimation accumulator system, history discharges and recharges data.Take full advantage of the battery standing time, the simple and direct open-circuit voltage of realizing is proofreaied and correct, and reduces the estimation error that the ampere-hour integration brings, and improves the SOC estimation precision.Finally, for the energy of accumulator system, dispatch reliable Data support is provided, take full advantage of the capacity of energy-storage battery.
The accompanying drawing explanation
Fig. 1 is the application's energy-storage battery Residual capacity prediction method flow schematic diagram;
Fig. 2 is the application's energy-storage battery Residual capacity prediction apparatus structure schematic diagram;
Fig. 3 is the current sensor output signal processing circuit.
Embodiment
Following detailed with reference to the accompanying drawings explanation embodiments of the present invention:
As shown in Figure 1, be the application's energy-storage battery Residual capacity prediction method flow schematic diagram, energy-storage battery Residual capacity prediction method comprises following step:
1. the SOC initial value and the history that read energy-storage battery discharge and recharge the ampere-hour initial value, read continuously three times, and reading result is judged, if come to the same thing for three times enter next step, otherwise again read initial value.
2. the monomer voltage of cycle detection energy-storage battery group, temperature, battery pack current.
3. the judgement electric current, as the battery pack current non-zero, carry out the ampere-hour integration, the electric battery residual capacity SOCi of estimation based on the battery pack current data, and by the SOCi assignment to electric battery residual capacity SOC, history is discharged and recharged to the ampere-hour data simultaneously and is added up.Specific formula for calculation is as follows:
Ah (k)=Ah (k-1)+I k
SOCi=SOC0+Ah (k)/(K*Cnom);
Total_In_Ah (k)=Total_In_Ah (k-1)+I k(I>0)
Total_Ah_In=Total_Ah_In0+Total_In_Ah (k)/K(I>0)
Total_Out_Ah (k)=Total_Out_Ah (k-1)+I k(I<0)
Total_Ah_Out=Total_Ah_Out0+Total_Out_Ah (k)/K(I<0)
Ah (k)the ampere-hour integrated value of-current time
Ah (k-1)gained ampere-hour integrated value during-last time ampere-hour integral operation
I k-current current value, I during the energy-storage battery charging kfor just, I during electric discharge kfor negative
The electric battery residual capacity of SOCi-based on the battery pack current data;
SOC0-electric battery residual capacity SOC initial value
Cnom-battery rated capacity
K: the unit conversion coefficient is to complete the number of times of ampere-hour integral operation in one hour, as the ampere-hour integration period is 1 millisecond, and K=3600s/1ms=3600000;
Total_In_Ah (k)the history charging ampere-hour integrated value of-current time
Total_In_Ah (k-1)history charging ampere-hour integrated value when-last time, history discharged and recharged the ampere-hour integration
Total_Ah_In-history charging ampere-hour
Total_Ah_In0-history charging ampere-hour initial value
Total_Out_Ah (k)the history electric discharge ampere-hour integrated value of-current time
Total_Out_Ah (k-1)history electric discharge ampere-hour integrated value when-last time, history discharged and recharged the ampere-hour integration
Total_Ah_Out-history electric discharge ampere-hour
Total_Ah_Out0-history electric discharge ampere-hour initial value;
4. be zero as battery pack current, start timing and judge the battery standing time, carry out the monomer open-circuit voltage of SOC and proofread and correct, the electric battery residual capacity SOCv of estimation based on voltage data, specific as follows:
After the battery standing time reaches 120 seconds, each monomer voltage of judgement energy-storage battery group, when there being cell to fall into high or low electric weight when interval, according to the SOCv of temperature and the monomer voltage estimating battery group of battery.Corresponding relation the following table is open-circuit voltage and SOC under certain brand LiFePO4 cell different temperatures:
SOC Normal temperature 60℃ 0℃
100% 3.406V 3.381V 3.371V
90% 3.379V 3.335V 3.335V
80% 3.336V 3.334V 3.332V
70% 3.335V 3.308V 3.305V
60% 3.309V 3.302V 3.292V
50% 3.297V 3.301V 3.289V
40% 3.294V 3.290V 3.286V
30% 3.270V 3.259V 3.268V
20% 3.237V 3.231V 3.234V
10% 3208V 3.198V 3.206V
0% 2.774V 2.768V 2.747V
The open-circuit voltage of cell refers to the voltage after the external voltage of battery is removed ohm voltage drop and polarizing voltage, and the external voltage after a period of time approaches the open-circuit voltage of battery by battery standing for this method and device.
And the open-circuit voltage of described battery and cell be the SOC of lithium ion single battery particularly, in height interval and low interval between charging area, there is more linear corresponding relation.Highly charged interval of the present invention is made as 90%-100%, between low charging area, is made as 0%-10%.
In addition, the SOC of the SOC of electric battery and cell distinguishes to some extent.In highly charged interval, in order to prevent from electric battery occurring the monomer overcharged, the SOC of electric battery, should proofread and correct as SOC corresponding to high monomer voltage; Between low charging area, in order to prevent from electric battery occurring the monomer of overdischarge, the SOC of electric battery should proofread and correct as SOC corresponding to minimum monomer voltage.Concrete updating formula is as follows:
SOCv=90%+(Vmax-Vsoc90%)/[(Vsoc100%-Vsoc90%)/10]
Or SOCv=(Vmin-Vsoc0%)/[(Vsoc10%-Vsoc0%)/10]
Vmax-high monomer voltage
Vmin-minimum monomer voltage
The monomer voltage that Vsoc100%-100%SOC is corresponding
The monomer voltage that Vsoc90%-90%SOC is corresponding
The monomer voltage that Vsoc10%-10%SOC is corresponding
The monomer voltage that Vsoc0%-0%SOC is corresponding
5. under normal circumstances, the SOCi that the SOC of electric battery is electric current ampere-hour integration gained, because there is certain error in current measurement, the ampere-hour integral operation is constantly accumulated this error, energy-storage battery is after a plurality of charge and discharge cycles, and the error that the ampere-hour integration causes makes SOC estimation serious distortion as a result.Therefore meeting under the condition that open-circuit voltage proofreaies and correct, open-circuit voltage is proofreaied and correct the SOC that SOCv as a result is set to the energy-storage battery group, can effectively eliminate the cumulative errors that the ampere-hour integration brings.In the application, when the difference of SOCv and SOCi is greater than 2%, be about to the SOC that SOCv is set to the energy-storage battery group.Simultaneously, by the SOCv assignment to SOC0, as new electric battery residual capacity initial value, and by current time ampere-hour integrated value Ah (k)zero clearing, participate in the ampere-hour integral operation in next cycle.
6. periodically store SOC and discharge and recharge the ampere-hour data in the fixed physical address of nonvolatile memory with historical, when each accumulator system powers on, the SOC and the history that read storage discharge and recharge the ampere-hour data, carry out following assign operation:
SOC0=SOC
Total_Ah_In0=Total_Ah_In
Total_Ah_Out0=Total_Ah_Out
By above operation, can guarantee the estimation continuity of energy-storage battery residual capacity, the residual capacity data of energy-storage battery can be because of the maintenance of accumulator system or unexpected power down and are lost.
Be illustrated in figure 2 the application's energy-storage battery Residual capacity prediction apparatus structure schematic diagram, the energy-storage battery Residual capacity prediction device in the application comprises following part:
1, monomer voltage and temperature acquisition unit, comprise reserve battery managing chip LT6802-2, surface-mount type thermistor, 8 single-chip microprocessor MCU 1, CAN communication interface.
Described LT6802-2 can complete at most the detection of 12 monomer voltages and two-way temperature, difference according to the series connection monomer number of battery cells of energy-storage battery group, can the flexible configuration monomer voltage and the quantity of temperature acquisition unit, each monomer voltage and temperature acquisition unit share a CAN bus and the battery information operational part carries out data communication, can realize monomer voltage and the temperature detection of more cells.
Described MCU1, by the SPI communication, controls the start and stop of LT6802-2 voltage and temperature detection, reads voltage and temperature detection result, and testing result is uploaded to the battery information operational part by the CAN bus.
Described thermistor is the surface-mount type encapsulation, is fixed in the pole place of battery.
2, battery pack current acquisition unit, comprise two-way Hall current sensor, current signal conditioning circuit, 8 single-chip microprocessor MCU 2.
As shown in Figure 3, two-way Hall current sensor is serially connected with total anode of electric battery, and the output analog voltage amount is to the direction interpretation section of current signal conditioning circuit.During charging, sensor is exported positive analog voltage amount, and the AD mouth that inputs to MCU2 through filtering section carries out analog to digital conversion, and current direction signal is high level, by the corresponding IO mouth of MCU2, is read; During electric discharge, sensor output negative analog voltage becomes positive voltage after anti-phase, and the AD mouth that inputs to MCU2 through filtering section carries out analog to digital conversion, and current direction signal is low level, by the corresponding IO mouth of MCU2, is read.
MCU2 through unit conversion, calculates the digital quantity after above-mentioned AD conversion the current value of electric battery, and is added up, and regularly by the SCI bus, current value and electric current accumulated value is transferred to the battery information operational part.
3, battery information operational part, comprise 16 single-chip microprocessor MCU 3 and CAN communication interface.
MCU3 carries out data communication by CAN bus and at least one monomer voltage and temperature acquisition unit, receives monomer voltage and temperature data that monomer voltage and temperature acquisition unit are uploaded, carries out the SOC estimation.
Control the read-write operation of the FM3164 of battery information storage part by iic bus, after carrying out SOC estimation, history and discharging and recharging the computing of ampere-hour data accumulation, SOC and history are discharged and recharged to the storage of ampere-hour data, and read SOC and history discharges and recharges the ampere-hour initial information when accumulator system powers on next time.
For the energy storage project, because the cost of energy-storage battery is huge, the battery military service cycle is longer, and in the middle and later periods of system operation, the actual capacity of battery will obviously be decayed.If the Cnom in the Residual capacity prediction formula still adopts the battery factory-said value, SOC estimation result will produce larger error.Discharge and recharge the ampere-hour data according to the history recorded in system, consult relevant cell degradation curve, can provide reference for the demarcation again of rated capacity.
The present patent application people has done detailed explanation and description in conjunction with Figure of description to embodiments of the invention; but those skilled in the art should understand that; above embodiment is only the preferred embodiments of the invention; detailed explanation is just in order to help the reader to understand better spirit of the present invention; and be not limiting the scope of the invention; on the contrary, within any any improvement of doing based on invention spirit of the present invention or modification all should drop on protection scope of the present invention.

Claims (13)

1. an energy-storage battery Residual capacity prediction method, it is characterized in that: described evaluation method is by measuring the parameters such as battery cell voltage, battery temperature, series battery electric current, adopt the ampere-hour integration of electric current to proofread and correct with the monomer open-circuit voltage mode combined, the residual capacity SOCi based on the battery pack current data of real-time estimation electric battery and the residual capacity SOCv based on the batteries monomer voltage data, and one of them arranges the residual capacity SOC of electric battery with described SOCi and SOCv; In the ampere-hour integration, accumulated history discharges and recharges the ampere-hour data, and regularly history is discharged and recharged to ampere-hour and residual capacity SOC and input to storer and stored.
2. energy-storage battery Residual capacity prediction method according to claim 1, is characterized in that, described evaluation method specifically comprises the following steps:
(1) the electric battery residual capacity SOC initial value in read memory, and history discharges and recharges the ampere-hour initial value data;
(2) by measuring the parameters such as described battery cell voltage, battery temperature, series battery electric current, obtain corresponding voltage data, temperature data, current data;
(3) by cumulative described current data, battery pack current is carried out to the ampere-hour integration, the electric battery residual capacity SOCi of calculating based on the battery pack current data, described SOCi is set to the residual capacity SOC of electric battery, and cumulative history discharges and recharges the ampere-hour data simultaneously;
(4) measure the time of repose of energy-storage battery, after time of repose reaches the expected time, according to monomer voltage and the battery temperature of energy-storage battery, obtain the electric battery residual capacity SOCv based on the battery cell voltage data;
(5) judgement SOCv and SOCi's is poor, and when described both difference is greater than the threshold value of setting, SOCv is set to the SOC of electric battery.
(6) periodically the history of energy-storage battery group is discharged and recharged to the residual capacity SOC write non-volatile memory of ampere-hour data, electric battery.
3. energy-storage battery Residual capacity prediction method according to claim 2, is characterized in that, described calculating SOCi comprises the following steps:
3.1 judgement battery pack current direction, electric current is that canonical represents the energy-storage battery charging, and the ampere-hour integral result increases, and electric current represents the energy-storage battery electric discharge for bearing, and the ampere-hour integral result reduces;
3.2 periodically carry out the ampere-hour integral operation of battery pack current, the ampere-hour integral operation cycle be made as to 1 millisecond:
Ah (k)=Ah (k-1)+I k
SOCi=SOC0+Ah (k)/(K*Cnom)
Wherein, Ah (k): the ampere-hour integrated value of current time; Ah (k-1): gained ampere-hour integrated value during last time ampere-hour integral operation; I k: current current value, I during the energy-storage battery charging kfor just, I during electric discharge kfor negative; SOCi: the electric battery residual capacity based on the battery pack current data; SOC0: electric battery residual capacity SOC initial value; Cnom: battery rated capacity; K: the unit conversion coefficient is to complete the number of times of ampere-hour integral operation in one hour, when the ampere-hour integration period is 1 millisecond, and K=3600s/1ms=3600000;
3.3 periodically carry out history, to discharge and recharge ampere-hour cumulative, and described history discharges and recharges ampere-hour and represents that energy-storage battery is from accumulator system moves for the first time and starts, total ampere-hour number of charge and discharge:
During the energy-storage battery charging, have:
Total_In_Ah (k)=Total_In_Ah (k-1)+I k
Total_Ah_In=Total_Ah_In0+Total_In_Ah (k)/K
During the energy-storage battery electric discharge, have:
Total_Out_Ah (k)=Total_Out_Ah (k-1)+I k
Total_Ah_Out=Total_Ah_Out0+Total_Out_Ah (k)/K
Wherein, Total_In_Ah (k): the history charging ampere-hour integrated value of current time; Total_In_Ah (k-1): history charging ampere-hour integrated value when last time, history discharged and recharged the ampere-hour integration; Total_Ah_In: historical charging ampere-hour; Total_Ah_In0: historical charging ampere-hour initial value; Total_Out_Ah (k): the history electric discharge ampere-hour integrated value of current time; Total_Out_Ah (k-1): history electric discharge ampere-hour integrated value when last time, history discharged and recharged the ampere-hour integration; Total_Ah_Out: historical electric discharge ampere-hour; Total_Ah_Out0: historical electric discharge ampere-hour initial value; K: with the definition of K in step 3.2.
4. energy-storage battery Residual capacity prediction method according to claim 2, is characterized in that, described SOCv calculates and comprises the following steps:
4.1 judge whether the battery standing time reaches the expected time value;
4.2 after time of repose reaches the expected time value, judge maximum monomer battery voltage whether or minimum monomer battery voltage interval in high electric weight whether in low electric weight interval;
If, 4.3 meet two conditions in 4.2 simultaneously,, according to the corresponding relation of battery open circuit voltage under different temperatures and SOC, estimate SOCv.
5. energy-storage battery Residual capacity prediction method according to claim 4 is characterized in that:
The described expected time is 120 seconds;
Described height electric weight interval 90%-100% and the 0%-10% of corresponding SOC respectively.
6. energy-storage battery Residual capacity prediction method according to claim 4 is characterized in that:
In 4.3, in the situation that meet open-circuit voltage, proofread and correct, if high monomer voltage falls into highly charged interval, SOC value corresponding to the high monomer voltage of usining is as the SOCv of electric battery; If minimum monomer voltage falls between low charging area, SOC value corresponding to the minimum monomer voltage of usining is as the SOCv of electric battery.
7. energy-storage battery Residual capacity prediction method according to claim 2 is characterized in that:
When the two difference of SOCv and SOCi is greater than 2%, SOCv is set to the SOC value that electric battery is new.
8. the energy-storage battery Residual capacity prediction device based on the described residual capacity method of estimation of the claims comprises:
Monomer voltage and temperature acquisition unit, measure battery cell voltage data, temperature data, and voltage and temperature data are passed through to the CAN bus transfer to the battery information operational part;
The battery pack current acquisition unit, measure the current data of electric battery, and pass through the SCI bus transfer to the battery information operational part;
The battery information operational part, receive monomer voltage data, temperature data, battery pack current data, carry out SOCi and estimate with SOCv, and described SOCi and SOCv one of them be set to the SOC of electric battery, and cumulative history discharges and recharges the ampere-hour number, the read-write of control battery information storage part;
The battery information storage part, the SOC of real-time storage electric battery and history discharge and recharge the ampere-hour data.
9. energy-storage battery Residual capacity prediction device according to claim 8 is characterized in that:
Described monomer voltage and temperature acquisition unit mainly comprise LT6802-2 battery management chip, surface-mount type thermistor, the MCU1 that reads monomer voltage and temperature data, CAN communication interface;
LT6802-2 transfers to described MCU1 by the monomer voltage of measurement and the temperature data by the surface-mount type thermosensitive resistance measurement by spi bus;
MCU1 by the CAN communication by monomer voltage and temperature data uploading to the battery information operational part;
Wherein, the surface-mount type thermistor is fixed in the battery electrode column place.
10. energy-storage battery Residual capacity prediction device according to claim 8 is characterized in that:
Described battery pack current acquisition unit, mainly comprise two-way Hall current sensor, current signal conditioning circuit, current signal reading processor MCU2;
Hall current sensor is serially connected with total anode of electric battery, according to the direction of current difference, and exportable bidirectional analog voltage;
The analog voltage amount travel direction judgement of current signal conditioning circuit to Hall current sensor output, the outbound course signal is to MCU2, and will after the positive analog voltage amount filtering of sensor output, access MCU2, after the anti-phase and filtering of negative analog voltage, accesses MCU2;
Current signal reading processor MCU2 reads above-mentioned current direction signal, the judgement direction of current, and the analog voltage amount of sensor output is carried out to the AD conversion, calculate current value, in real time cumulative battery current value, periodically current value and current value accumulation result are passed through to the processor MCU 3 of SCI bus transfer to the battery information operational part, after every primary current accumulation results transfers to MCU3, the electric current accumulation results in MCU2 is cleared.
11. energy-storage battery Residual capacity prediction device according to claim 8 is characterized in that:
Described battery information operational part comprises battery information arithmetic processor MCU3, CAN communication interface;
Described MCU3 receives current value and the electric current accumulated value that monomer voltage that described MCU1 uploads and temperature data, described MCU2 upload, by cumulative current data, the SOCi of estimating battery group; The judgement time of repose, according to monomer voltage and temperature, the SOCv of estimating battery group, finally by a SOC who is set to electric battery in described SOCi and SOCv.
12. energy-storage battery Residual capacity prediction device according to claim 11, it is characterized in that: described battery information operational part, when carrying out the SOC estimation, carry out history and discharge and recharge the cumulative of ampere-hour data, and described history is discharged and recharged to the ampere-hour data and SOC writes the battery information storage part.
13. energy-storage battery Residual capacity prediction device according to claim 8 is characterized in that:
Nonvolatile memory and peripheral circuit thereof that described battery information storage part is FM3164 by model form.
The processor MCU 3 of battery information operational part reads and writes operation by iic bus to above-mentioned nonvolatile memory.
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Cited By (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103901354A (en) * 2014-04-23 2014-07-02 武汉市欧力普能源与自动化技术有限公司 Methods for predicting SOC of vehicle-mounted power battery of electric automobile
CN104330739A (en) * 2014-10-22 2015-02-04 常州格力博有限公司 Lithium battery SOC calculation method
CN104360285A (en) * 2014-11-28 2015-02-18 山东鲁能智能技术有限公司 Battery capacity correction method based on improved ampere-hour integral method
CN104360280A (en) * 2014-11-13 2015-02-18 广东欧赛能源与自动化技术有限公司 Battery surplus capacity calculating method based on AGV
CN104407298A (en) * 2014-11-18 2015-03-11 柳州市金旭节能科技有限公司 Lithium ion battery pack available surplus capacity calculation method
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WO2021253693A1 (en) * 2020-06-17 2021-12-23 金龙联合汽车工业(苏州)有限公司 Method and system for estimating soc of hybrid power in-vehicle battery
CN113911120A (en) * 2020-07-08 2022-01-11 观致汽车有限公司 Vehicle driving range calculation method and device, electronic equipment and storage medium
CN114137422A (en) * 2021-11-23 2022-03-04 雅迪科技集团有限公司 Method and device for determining residual electric quantity of electric vehicle
CN114325394A (en) * 2021-12-29 2022-04-12 上海电气国轩新能源科技有限公司 Method, system, device and medium for estimating SOC of battery stack
WO2023059077A1 (en) * 2021-10-05 2023-04-13 주식회사 엘지에너지솔루션 System of estimating residual capacity of energy storage system (ess) and method thereof

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101176234A (en) * 2005-05-11 2008-05-07 Lg化学株式会社 Method of estimating SOC of battery for hybrid electric vehicle
CN101813754A (en) * 2010-04-19 2010-08-25 清华大学 State estimating method for automobile start illumination type lead-acid storage battery
CN101965522A (en) * 2008-01-11 2011-02-02 Sk能源株式会社 Method for Measuring SOC of a Battery in a Battery Management System and the Apparatus Thereof
CN102162836A (en) * 2011-03-21 2011-08-24 浙江吉利汽车研究院有限公司 Estimation method of vehicle battery stress optical coefficient (SOC)
CN102449495A (en) * 2009-06-03 2012-05-09 三菱重工业株式会社 Battery state of charge calculation device
WO2013051241A1 (en) * 2011-10-07 2013-04-11 カルソニックカンセイ株式会社 Battery state-of-charge estimation device and state-of-charge estimation method
CN103048626A (en) * 2012-12-17 2013-04-17 惠州市亿能电子有限公司 Method for accurately estimating SOC (State of Charge)

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101176234A (en) * 2005-05-11 2008-05-07 Lg化学株式会社 Method of estimating SOC of battery for hybrid electric vehicle
CN101965522A (en) * 2008-01-11 2011-02-02 Sk能源株式会社 Method for Measuring SOC of a Battery in a Battery Management System and the Apparatus Thereof
CN102449495A (en) * 2009-06-03 2012-05-09 三菱重工业株式会社 Battery state of charge calculation device
CN101813754A (en) * 2010-04-19 2010-08-25 清华大学 State estimating method for automobile start illumination type lead-acid storage battery
CN102162836A (en) * 2011-03-21 2011-08-24 浙江吉利汽车研究院有限公司 Estimation method of vehicle battery stress optical coefficient (SOC)
WO2013051241A1 (en) * 2011-10-07 2013-04-11 カルソニックカンセイ株式会社 Battery state-of-charge estimation device and state-of-charge estimation method
CN103048626A (en) * 2012-12-17 2013-04-17 惠州市亿能电子有限公司 Method for accurately estimating SOC (State of Charge)

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