CN110018423A - Battery life Prediction System and battery life predictor method - Google Patents
Battery life Prediction System and battery life predictor method Download PDFInfo
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- CN110018423A CN110018423A CN201910377168.7A CN201910377168A CN110018423A CN 110018423 A CN110018423 A CN 110018423A CN 201910377168 A CN201910377168 A CN 201910377168A CN 110018423 A CN110018423 A CN 110018423A
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000001514 detection method Methods 0.000 claims abstract description 18
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 claims description 16
- 229910001416 lithium ion Inorganic materials 0.000 claims description 16
- 230000015556 catabolic process Effects 0.000 claims description 10
- 238000006731 degradation reaction Methods 0.000 claims description 10
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 6
- 239000002253 acid Substances 0.000 claims description 6
- 229910021389 graphene Inorganic materials 0.000 claims description 6
- 229910052987 metal hydride Inorganic materials 0.000 claims description 6
- 230000005611 electricity Effects 0.000 claims 5
- 240000002853 Nelumbo nucifera Species 0.000 claims 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims 1
- 230000014509 gene expression Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000000446 fuel Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
Classifications
-
- 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
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
-
- 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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
-
- 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
Abstract
The present invention provides a kind of battery life Prediction System and method, including controller, voltage detection module, life estimator module and electric current obtain module；The voltage detection module, for detecting busbar voltage that the battery is exported and sending it to the life estimator module；The electric current obtains module, for obtaining the operating current of the load and sending it to the life estimator module；The life estimator module, for determining the remaining life of the battery according to the operating current of the load；And the life estimator module, it is also used to control the on-off of the controller according to the busbar voltage and remaining life of the battery.The on-off of the controller can be controlled according to the busbar voltage and remaining life of battery, it may insure to give full play to the advantage of battery, reach in the process of running to bearing power stable power-supplying, at the same can preestimating battery remaining life, obtain remaining battery use the time.
Description
Technical field
The invention belongs to battery Prediction System technical fields, and in particular to a kind of battery life Prediction System and a kind of battery
Life prediction method.
Background technique
Lithium ion battery has energy density high, it is easy to accomplish the features such as powering to nonlinear load in electric car, is mixed
Closing the application fields such as power vehicle and fuel cell car has good prospect.
Although lithium ion battery has above-mentioned advantage, the sensitivity to parameter of lithium ion battery is stronger, to high-power negative
It carries when dynamic supplies and is difficult to estimate its service life, for lithium ion battery, how to give full play to the advantage of lithium ion battery,
The lithium ion battery service life can be estimated while reaching in operational process to bearing power stable power-supplying, and it is surplus to obtain lithium ion battery
Remaining using the time is technical problem that those skilled in the art are facing.
In order to which lithium ion battery can be estimated while guaranteeing that lithium ion battery can adapt to high power load stable power-supplying
Service life, need to design a life prediction system for above-mentioned lithium ion battery.
Summary of the invention
The present invention is directed at least solve one of the technical problems existing in the prior art, a kind of battery life is provided and is estimated it is
System and a kind of battery life predictor method.
The first aspect of the present invention provides a kind of battery life Prediction System, comprising:
Controller, the input terminal of the controller are electrically connected with the output end of battery, the output end of the controller and negative
Carry electrical connection；
Voltage detection module, the input terminal of the voltage detection module are electrically connected with the output end of the battery；
Life estimator module, the input terminal of the life estimator module and the output end of the voltage detection module are electrically connected
It connects, the output end of the life estimator module is electrically connected with the input terminal of the controller；
Electric current obtains module, and the input terminal that the electric current obtains module is electrically connected with the load, and the electric current obtains mould
The output end of block is electrically connected with the input terminal of the life estimator module；Wherein,
The voltage detection module, for detecting busbar voltage that the battery is exported and sending it to the service life
Estimation module；
The electric current obtains module, for obtaining the operating current of the load and sending it to the life estimation mould
Block；
The life estimator module, for determining the remaining life of the battery according to the operating current of the load；With
And
The life estimator module is also used to control the controller according to the busbar voltage and remaining life of the battery
On-off.
Optionally, the life estimator module includes electric current computational submodule, state-of-charge computational submodule and service life meter
Operator module, the electric current computational submodule obtains module with the electric current and the state-of-charge computational submodule is electrically connected
It connects, the service life computational submodule is electrically connected with the state-of-charge computational submodule；Wherein,
The electric current of the battery is calculated for the operating current according to the load in the galvanometer quantum module
Variable；
The battery is calculated for the electric current variable according to the battery in the state-of-charge computational submodule
State-of-charge；
The residue of the battery is calculated for the state-of-charge according to the battery in the service life computational submodule
Service life.
Optionally, the remaining life of the battery meets following relational expressions:
Lu=Li-D(t)Li；
Wherein, LuFor the remaining life of the battery, LiFor the initial lifetime of the battery, D (t) is the longevity of the battery
Degradation factor is ordered, SOC (t) is the state-of-charge of the battery, SOCrefIt (t) is the state-of-charge reference value of different moments, T is
SOCref(t) average time of state-of-charge reference, s are degradation factor coefficient.
Optionally, the battery includes lithium ion battery, lead-acid battery, nickel-metal hydride battery, ternary battery or graphene battery.
Optionally, the life estimator module further includes judging submodule and control submodule, the judging submodule with
The voltage detection module and the life estimator module are electrically connected, the control submodule and the judging submodule and institute
Controller is stated to be electrically connected；
The judging submodule, for judging whether the busbar voltage of the battery is greater than default busbar voltage and described
Whether the remaining life of battery is greater than default remaining life, if so, open signal is issued, if it is not, then issuing cut-off signals；
The control submodule, it is open-minded for when receiving the open signal, controlling the controller, so that institute
It states battery and provides output electric current to the load；And
The control submodule is also used to when receiving the cut-off signals, controls the controller shutdown, so that
The battery stops providing output electric current to the load.
The second aspect of the present invention, provides a kind of battery life predictor method, and battery is provided by controller to load defeated
Electric current out, predictor method include:
Step S110, the busbar voltage that the battery is exported is detected；
Step S120, the operating current of the load is obtained；
Step S130, the remaining life of the battery is determined according to the operating current of the load；
Step S140, the on-off of the controller is controlled according to the busbar voltage of the battery and remaining life.
Optionally, step S130 is specifically included:
According to the operating current of the load, the electric current variable of the battery is calculated；
According to the electric current variable of the battery, the state-of-charge of the battery is calculated；
According to the state-of-charge of the battery, the remaining life of the battery is calculated.
Optionally, the remaining life of the battery meets following relational expressions:
Lu=Li-D(t)Li；
Wherein, LuFor the remaining life of the battery, LiFor the initial lifetime of the battery, D (t) is the longevity of the battery
Degradation factor is ordered, SOC (t) is the state-of-charge of the battery, SOCrefIt (t) is the state-of-charge reference value of different moments, T is
SOCref(t) average time of state-of-charge reference, s are degradation factor coefficient.
Optionally, the battery includes lithium ion battery, lead-acid battery, nickel-metal hydride battery, ternary battery or graphene battery.
Optionally, step S140 is specifically included:
Judge the busbar voltage of the battery whether be greater than default busbar voltage and the battery remaining life whether
Greater than default remaining life, if so, open signal is issued, if it is not, then issuing cut-off signals；
When receiving the open signal, it is open-minded to control the controller, so that the battery is mentioned to the load
For exporting electric current；And
When receiving the cut-off signals, the controller shutdown is controlled, so that the battery stops to described negative
It carries and output electric current is provided.
Battery life Prediction System of the invention and method.Firstly, the busbar voltage that the battery is exported is detected,
It is secondary, the operating current of the load is obtained, again, the remaining life of the battery is determined according to the operating current of the load,
Finally, the on-off of the controller is controlled according to the busbar voltage of the battery and remaining life, in this way, can be according to battery
Busbar voltage and remaining life control the on-off of the controller, it can be ensured that the advantage for giving full play to battery, in operational process
In reach to bearing power stable power-supplying, while can preestimating battery remaining life, obtain remaining battery use the time.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the battery life Prediction System of first embodiment of the invention；
Fig. 2 is the structural schematic diagram of the battery life Prediction System of second embodiment of the invention；
Fig. 3 is the flow chart of the battery life predictor method of third embodiment of the invention.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, with reference to the accompanying drawing and specific embodiment party
Present invention is further described in detail for formula.
As shown in Figure 1, the first aspect of the present invention, is related to a kind of battery life Prediction System 100, the Prediction System 100
Module 140 is obtained including controller 110, voltage detection module 120, life estimator module 130 and electric current.The controller 110
Input terminal be electrically connected with the output end of battery 200, the output end of the controller 110 is electrically connected with load 300.The voltage
The input terminal of detection module 120 is electrically connected with the output end of the battery 200.The input terminal of the life estimator module 130 with
The output end of the voltage detection module 120 is electrically connected, the output end of the life estimator module 130 and the controller 110
Input terminal electrical connection.The input terminal that the electric current obtains module 140 is electrically connected with the load 300, and the electric current obtains mould
The output end of block 140 is electrically connected with the input terminal of the life estimator module 130.
Wherein, the voltage detection module 120, for detecting busbar voltage that the battery 200 is exported and being sent out
It send to the life estimator module 130.The electric current obtains module 140, for obtaining the operating current of the load 300 and inciting somebody to action
It is sent to the life estimator module 130.The life estimator module 130, for the operating current according to the load 300
Determine the remaining life of the battery 200.The life estimator module 130 is also used to the busbar voltage according to the battery 200
The on-off of the controller 110 is controlled with remaining life.
The battery life Prediction System 100 of the present embodiment passes through set voltage detection module 120, life estimation mould
Block 130 and electric current obtain module 140, can control the controller according to the busbar voltage and remaining life of the battery 200
110 on-off reaches in the process of running in this way it can be ensured that giving full play to the advantage of battery to bearing power stable power-supplying,
Simultaneously can preestimating battery remaining life, obtain remaining battery use the time.
As shown in Fig. 2, the life estimator module 130 includes electric current computational submodule 131, state-of-charge computational submodule
132 and service life computational submodule 133.The electric current computational submodule 131 obtains module 140 and the charged shape with the electric current
State computational submodule 132 is electrically connected, and the service life computational submodule 133 is electrically connected with the state-of-charge computational submodule 132
It connects.Wherein, the battery is calculated for the operating current according to the load 300 in the galvanometer quantum module 131
200 electric current variable.The state-of-charge computational submodule 132, for the electric current variable according to the battery 200, meter
Calculation obtains the state-of-charge of the battery 200.The service life computational submodule 133, for the charged shape according to the battery 200
The remaining life of the battery 200 is calculated in state.
Specifically, the remaining life of the battery meets following relational expressions:
Lu=Li-D(t)Li；
Wherein, LuFor the remaining life of the battery, LiFor the initial lifetime of the battery, D (t) is the longevity of the battery
Degradation factor is ordered, SOC (t) is the state-of-charge of the battery, SOCrefIt (t) is the state-of-charge reference value of different moments, T is
SOCref(t) average time of state-of-charge reference, s are degradation factor coefficient.
Optionally, the battery includes lithium ion battery, lead-acid battery, nickel-metal hydride battery, ternary battery or graphene battery.
As shown in Fig. 2, the life estimator module 130 further includes judging submodule 134 and control submodule 135.It is described
Judging submodule 134 is electrically connected with the voltage detection module 120 and the life estimator module 130, the control submodule
Block 135 is electrically connected with the judging submodule 134 and the controller 110.The judging submodule 134, for judging
State battery 200 busbar voltage whether be greater than default busbar voltage and the battery 200 remaining life whether be greater than it is default
Remaining life, if so, open signal is issued, if it is not, then issuing cut-off signals.The control submodule 135, for receiving
When to the open signal, it is open-minded to control the controller 110, so that the battery 200 provides outputs to the load 300
Electric current.The control submodule 135, is also used to when receiving the cut-off signals, controls the controller 110 and turns off, with
So that the battery 200 stops providing output electric current to the load 300.
The second aspect of the present invention, as shown in figure 3, providing a kind of battery life predictor method S100, which can
To be applicable in the Prediction System recorded above, can specifically be recorded with reference to related above, therefore not to repeat here.Battery passes through controller
Output electric current is provided to load, predictor method S100 includes:
Step S110, the busbar voltage that the battery is exported is detected；
Step S120, the operating current of the load is obtained；
Step S130, the remaining life of the battery is determined according to the operating current of the load；
Step S140, the on-off of the controller is controlled according to the busbar voltage of the battery and remaining life.
The battery life predictor method S100 of the present embodiment, firstly, the busbar voltage that the battery is exported is detected,
It is secondary, the operating current of the load is obtained, again, the remaining life of the battery is determined according to the operating current of the load,
Finally, the on-off of the controller is controlled according to the busbar voltage of the battery and remaining life, in this way, can be according to battery
Busbar voltage and remaining life control the on-off of the controller, it can be ensured that the advantage for giving full play to battery, in operational process
In reach to bearing power stable power-supplying, while can preestimating battery remaining life, obtain remaining battery use the time.
Optionally, step S130 is specifically included:
According to the operating current of the load, the electric current variable of the battery is calculated；
According to the electric current variable of the battery, the state-of-charge of the battery is calculated；
According to the state-of-charge of the battery, the remaining life of the battery is calculated.
Optionally, the remaining life of the battery meets following relational expressions:
Lu=Li-D(t)Li；
Wherein, LuFor the remaining life of the battery, LiFor the initial lifetime of the battery, D (t) is the longevity of the battery
Degradation factor is ordered, SOC (t) is the state-of-charge of the battery, SOCrefIt (t) is the state-of-charge reference value of different moments, T is
SOCref(t) average time of state-of-charge reference, s are degradation factor coefficient.
Optionally, the battery includes lithium ion battery, lead-acid battery, nickel-metal hydride battery, ternary battery or graphene battery.
Optionally, step S140 is specifically included:
Judge the busbar voltage of the battery whether be greater than default busbar voltage and the battery remaining life whether
Greater than default remaining life, if so, open signal is issued, if it is not, then issuing cut-off signals；
When receiving the open signal, it is open-minded to control the controller, so that the battery is mentioned to the load
For exporting electric current；And
When receiving the cut-off signals, the controller shutdown is controlled, so that the battery stops to described negative
It carries and output electric current is provided.
It is understood that the principle that embodiment of above is intended to be merely illustrative of the present and the exemplary implementation that uses
Mode, however the present invention is not limited thereto.For those skilled in the art, essence of the invention is not being departed from
In the case where mind and essence, various changes and modifications can be made therein, these variations and modifications are also considered as protection scope of the present invention.
Claims (10)
1. a kind of battery life Prediction System characterized by comprising
Controller, the input terminal of the controller are electrically connected with the output end of battery, the output end and load electricity of the controller
Connection；
Voltage detection module, the input terminal of the voltage detection module are electrically connected with the output end of the battery；
Life estimator module, the input terminal of the life estimator module are electrically connected with the output end of the voltage detection module, institute
The output end for stating life estimator module is electrically connected with the input terminal of the controller；
Electric current obtains module, and the input terminal that the electric current obtains module is electrically connected with the load, and the electric current obtains module
Output end is electrically connected with the input terminal of the life estimator module；Wherein,
The voltage detection module, for detecting busbar voltage that the battery is exported and sending it to the life estimation
Module；
The electric current obtains module, for obtaining the operating current of the load and sending it to the life estimator module；
The life estimator module, for determining the remaining life of the battery according to the operating current of the load；And
The life estimator module is also used to control the logical of the controller according to the busbar voltage and remaining life of the battery
It is disconnected.
2. Prediction System according to claim 1, which is characterized in that the life estimator module includes galvanometer operator mould
Block, state-of-charge computational submodule and service life computational submodule, the electric current computational submodule and the electric current obtain module and
The state-of-charge computational submodule is electrically connected, and the service life computational submodule is electrically connected with the state-of-charge computational submodule
It connects；Wherein,
The electric current metering of the battery is calculated for the operating current according to the load in the galvanometer quantum module
Value；
The lotus of the battery is calculated for the electric current variable according to the battery in the state-of-charge computational submodule
Electricity condition；
The remaining life of the battery is calculated for the state-of-charge according to the battery in the service life computational submodule.
3. Prediction System according to claim 1 or 2, which is characterized in that the remaining life of the battery meets following passes
It is formula:
Lu=Li-D(t)Li；
Wherein, LuFor the remaining life of the battery, LiFor the initial lifetime of the battery, D (t) is to move back in the service life of the battery
Change the factor, SOC (t) is the state-of-charge of the battery, SOCrefIt (t) is the state-of-charge reference value of different moments, T SOCref
(t) average time of state-of-charge reference, s are degradation factor coefficient.
4. Prediction System according to claim 1 or 2, which is characterized in that the battery includes lithium ion battery, plumbic acid electricity
Pond, nickel-metal hydride battery, ternary battery or graphene battery.
5. Prediction System according to claim 1 or 2, which is characterized in that the life estimator module further includes judgement
Module and control submodule, the judging submodule are electrically connected with the voltage detection module and the life estimator module,
The control submodule is electrically connected with the judging submodule and the controller；
The judging submodule, for judging whether the busbar voltage of the battery is greater than default busbar voltage and the battery
Remaining life whether be greater than default remaining life, if so, issue open signal, if it is not, then issuing cut-off signals；
The control submodule, it is open-minded for when receiving the open signal, controlling the controller, so that the electricity
Pond provides output electric current to the load；And
The control submodule is also used to when receiving the cut-off signals, the controller shutdown is controlled, so that described
Battery stops providing output electric current to the load.
6. a kind of battery life predictor method, battery provides output electric current to load by controller, which is characterized in that the side of estimating
Method includes:
Step S110, the busbar voltage that the battery is exported is detected；
Step S120, the operating current of the load is obtained；
Step S130, the remaining life of the battery is determined according to the operating current of the load；
Step S140, the on-off of the controller is controlled according to the busbar voltage of the battery and remaining life.
7. predictor method according to claim 6, which is characterized in that step S130 is specifically included:
According to the operating current of the load, the electric current variable of the battery is calculated；
According to the electric current variable of the battery, the state-of-charge of the battery is calculated；
According to the state-of-charge of the battery, the remaining life of the battery is calculated.
8. predictor method according to claim 6 or 7, which is characterized in that the remaining life of the battery meets following passes
It is formula:
Lu=Li-D(t)Li；
Wherein, LuFor the remaining life of the battery, LiFor the initial lifetime of the battery, D (t) is to move back in the service life of the battery
Change the factor, SOC (t) is the state-of-charge of the battery, SOCrefIt (t) is the state-of-charge reference value of different moments, T SOCref
(t) average time of state-of-charge reference, s are degradation factor coefficient.
9. predictor method according to claim 6 or 7, which is characterized in that the battery includes lithium ion battery, plumbic acid electricity
Pond, nickel-metal hydride battery, ternary battery or graphene battery.
10. predictor method according to claim 6 or 7, which is characterized in that step S140 is specifically included:
Judge whether the busbar voltage of the battery is greater than default busbar voltage and whether the remaining life of the battery is greater than
Default remaining life, if so, open signal is issued, if it is not, then issuing cut-off signals；
When receiving the open signal, it is open-minded to control the controller, so that the battery is defeated to load offer
Electric current out；And
When receiving the cut-off signals, the controller shutdown is controlled, so that the battery stops mentioning to the load
For exporting electric current.
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| CN110775065A (en) * | 2019-11-11 | 2020-02-11 | 吉林大学 | Hybrid electric vehicle battery life prediction method based on working condition recognition |
| CN110775043A (en) * | 2019-11-11 | 2020-02-11 | 吉林大学 | Hybrid electric vehicle energy optimization method based on battery life attenuation pattern recognition |
| CN111983494A (en) * | 2020-08-19 | 2020-11-24 | 重庆金康动力新能源有限公司 | Method and system for prolonging service life of battery system |
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