CN107221971A - The method that electrokinetic cell active equalization judgement is carried out using implicit Markov model - Google Patents
The method that electrokinetic cell active equalization judgement is carried out using implicit Markov model Download PDFInfo
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- CN107221971A CN107221971A CN201710299671.6A CN201710299671A CN107221971A CN 107221971 A CN107221971 A CN 107221971A CN 201710299671 A CN201710299671 A CN 201710299671A CN 107221971 A CN107221971 A CN 107221971A
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- balance
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
- H02J7/0014—Circuits for equalisation of charge between batteries
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
-
- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a kind of method for carrying out electrokinetic cell active equalization judgement using implicit Markov model, Pack includes having 12 cells, described each four kinds of battery equilibrium modes of cell in 8 modules, each module：Process, monomer are not balanced to the balance of the balance, the balance of monomer to module, module to monomer of battery bag.The advantage of the present invention compared with prior art is：The present invention according to the algorithm of implicit Markov model, has worked out the control strategy of rational active balancing, with reference to the balance hardware based on flyback transformer, realized in discharge and recharge from the angle of optimal energy, the active balancing control of battery bag.The present invention improves energy utilization efficiency of the electrokinetic cell bag in equilibrium process, extends use energy and the life-span of battery bag.
Description
Technical field
Enter action using implicit Markov model the present invention relates to battery balanced control technology field, more particularly to one kind
The method that power active equalization of battery judges.
Background technology
Current driving force product active balancing uses the scheme of flyback transformer, it is possible to achieve monomer to module, module
To monomer, monomer to tri- kinds of balance modes of Pack.In order to realize all monomer SOC of whole battery bag uniformity.From control plan
Angle slightly, the mode of realization is relatively more, and domestic similar solution is all simply using the voltage of monomer as putting down at present
Weighed Rule of judgment, and balance is opened when monomer voltage or monomer voltage difference exceed threshold value set in advance when charging,
Start balance.
Current equilibrium strategy simply considers from the angle of single monomer, or from the think of that prevents that single monomer from overcharging
Consider active balancing in dimension.Because the electric current of active balancing is larger (balanced balanced current in the present invention is 3A), not from whole
The angle of battery bag transfer energy expenditure formulates the control strategy of overall optimal active balancing, causes the waste of energy.Base
In this, a kind of method for carrying out electrokinetic cell active equalization judgement using implicit Markov model is studied, is solved well
This problem.
The content of the invention
Carried out it is an object of the invention to overcome the deficiencies of the prior art and provide a kind of using implicit Markov model
The method that electrokinetic cell active equalization judges.
The present invention is achieved by the following technical solutions：It is actively equal that electrokinetic cell is carried out using implicit Markov model
Weigh the method judged, and Pack includes having 12 cells in 8 modules, each module, and each cell includes four
Plant battery equilibrium mode：Process, monomer are not balanced to the balance, the balance of monomer to module, module of battery bag to singly
The balance of body；
This method comprises the following steps：
(1) process that is not balanced is converted to monomer to the scalar quantity of the balance of battery bag, is designated as P1, i.e. module
Soc averages and Pack soc averages difference>During P1, into monomer to the balance of battery bag, the scalar quantity causes equilibrium process
It is preferential judge whether to monomer to battery bag balance or monomer to module balance, discounting for monomer to battery bag
Balance, and only consider monomer to the balance of module, then do not need the scalar quantity；
(2) after the balance without monomer to battery bag is judged, never it is balanced process and is converted to monomer to mould
The Rule of judgment scalar quantity of the balance or module of block to the balance of monomer is designated as the soc values and whole mould of monomer in P2, i.e. module
The absolute value of the soc mean bias of block>During P2, into monomer to the balance of module or module to the balance of monomer, the scalar quantity
Determine the condition that inside modules are balanced；
(3) it is transformed into and is not balanced in the condition of process to the balance of monomer by the balance or module of monomer to module
Scalar quantity be designated as P3, that is, the module of inside modules balance is being carried out, if the soc values of monomer and whole module in module
The absolute value of soc mean bias<During P3, then balance is exited；
(4) it is a scalar quantity on the limit value that autohaploid or subject monomers are not replaced in same module, i.e.,
When | the difference of the SOC averages of the SOC of other monomer and module in module |-| the SOC of the monomer currently balanced and module
The difference of SOC averages |>During P4, then other monomer is replaced to the monomer currently balanced；
(5) the scalar quantity P5 of an equilibration times, the balance of monomer to battery bag, monomer are given the problem of equilibration times
To the balance of module, the balance of module to monomer, the size P6 of balanced balanced current in these three balance modes, the size of this value is straight
The speed for having influence on balance is connect, it is too small, result in the need for balance for a long time, then cause to exceed the proper limits in righting a wrong greatly very much, also do not reach flat
Weighing apparatus, the characteristics of active balancing process of battery meets Markov model, i.e., should during, only predicted with current state by
Come, the past is that for prediction, i.e. current later to-be is unrelated to former historic state in the future, then utilizes Ma Er
Can husband's decision process obtain optimal active balancing control decision.
One of preferred embodiment as the present invention, the Markovian decision comprises the following steps：
(1) carry out the Markov model of equilibrium establishment process first because there is 8 modules, first consider when being balanced be
It is no carry out monomer arrive battery bag balance, if without or carry out monomer to battery bag balance complete after if progress often
Balance within individual module, and the balance mode within each module is probably different, so being carried out for a module
Modeling, it is possible to reflect the balancing decision situation of each module；
(2) provide the fundamental in the Markov model of a module again, note △ SOC be in each module with module
SOC averages deviate maximum monomer and module SOC averages difference；
State S:S1(△SOC>P2), S2 (△ SOC<- P2), S3 (| △ SOC |<P3), S4 (Module soc averages with
The difference of pack soc averages>P1),
Act A：A1 (is not balanced process),
A2 (balance of monomer to battery bag),
A3 (balance of monomer to module),
A4 (balance of module to monomer),
Transfer matrix：T (s, a, s '),
Reward reward:R (s, a, s ') balance 1 is reached, 0 is not influenceed on SOC, does not reach balance -1,
Original state：S1；
(3) last Utilization strategies alternative manner carries out calculating result.
One of preferred embodiment as the present invention, the calculation formula of the Policy iteration method is
One of preferred embodiment as the present invention, this method comprises the following steps：
(1) the Game tree of active balancing system are set up,
(2) calculated by Policy iteration method,
(3) so as to obtain optimal active balancing control decision.
One of preferred embodiment as the present invention, the optimal active balancing control decision is as shown in the table
The advantage of the present invention compared with prior art is：Angle of the invention from optimal energy, according to implicit Markov
The algorithm of model, has worked out the control strategy of rational active balancing, with reference to the balance hardware based on flyback transformer, realizes
In discharge and recharge, the active balancing control of battery bag.The present invention improves energy utilization of the electrokinetic cell bag in equilibrium process
Efficiency, extends use energy and the life-span of battery bag.
Brief description of the drawings
Fig. 1 is four kinds of balance mode schematic diagrames of the present invention.
Embodiment
Embodiments of the invention are elaborated below, the present embodiment is carried out lower premised on technical solution of the present invention
Implement, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to following implementations
Example.
Embodiment:
As shown in Figure 1：A kind of method for carrying out electrokinetic cell active equalization judgement using implicit Markov model, Pack
Including 8 modules (module), there are 12 cells (cell) in each module, described each four kinds of batteries of cell are put down
Weighing apparatus mode：Process (No balancing), the balance of monomer to battery bag (Cell to pack), monomer is not balanced to arrive
The balance (cell to module) of module, the balance (module to cell) of module to monomer；
This method comprises the following steps：
(1) process that is not balanced is converted to monomer to the scalar quantity of the balance of battery bag, is designated as P1, i.e. module
Soc averages and Pack soc averages difference>During P1, into monomer to the balance of battery bag, the scalar quantity causes equilibrium process
It is preferential judge whether to monomer to battery bag balance or monomer to module balance, discounting for monomer to battery bag
Balance, and only consider monomer to the balance of module, then do not need the scalar quantity；
(2) after the balance without monomer to battery bag is judged, never it is balanced process and is converted to monomer to mould
The Rule of judgment scalar quantity of the balance or module of block to the balance of monomer is designated as the soc values and whole mould of monomer in P2, i.e. module
The absolute value of the soc mean bias of block>During P2, into monomer to the balance of module or module to the balance of monomer, the scalar quantity
Determine the condition that inside modules are balanced；
(3) it is transformed into and is not balanced in the condition of process to the balance of monomer by the balance or module of monomer to module
Scalar quantity be designated as P3, that is, the module of inside modules balance is being carried out, if the soc values of monomer and whole module in module
The absolute value of soc mean bias<During P3, then balance is exited；
(4) it is a scalar quantity on the limit value that autohaploid or subject monomers are not replaced in same module, i.e.,
When | the difference of the SOC averages of the SOC of other monomer and module in module |-| the SOC of the monomer currently balanced and module
The difference of SOC averages |>During P4, then other monomer is replaced to the monomer currently balanced；
(5) the scalar quantity P5 of an equilibration times, the balance of monomer to battery bag, monomer are given the problem of equilibration times
To the balance of module, the balance of module to monomer, the size P6 of balanced balanced current in these three balance modes, the size of this value is straight
The speed for having influence on balance is connect, it is too small, result in the need for balance for a long time, then cause to exceed the proper limits in righting a wrong greatly very much, also do not reach flat
Weighing apparatus, the characteristics of active balancing process of battery meets Markov model, i.e., should during, only predicted with current state by
Come, the past is that for prediction, i.e. current later to-be is unrelated to former historic state in the future, then utilizes Ma Er
Can husband's decision process obtain optimal active balancing control decision.
One of preferred embodiment as the present invention, the Markovian decision comprises the following steps：
(1) carry out the Markov model of equilibrium establishment process first because there is 8 modules, first consider when being balanced be
It is no carry out monomer arrive battery bag balance, if without or carry out monomer to battery bag balance complete after if progress often
Balance within individual module, and the balance mode within each module is probably different, so being carried out for a module
Modeling, it is possible to reflect the balancing decision situation of each module；
(2) provide the fundamental in the Markov model of a module again, note △ SOC be in each module with module
SOC averages deviate maximum monomer and module SOC averages difference；
State S:S1(△SOC>P2), S2 (△ SOC<- P2), S3 (| △ SOC |<P3), S4 (Module soc averages with
The difference of pack soc averages>P1),
Act A：A1 (is not balanced process),
A2 (balance of monomer to battery bag),
A3 (balance of monomer to module),
A4 (balance of module to monomer),
Transfer matrix：T (s, a, s '),
Reward reward:R (s, a, s ') balance 1 is reached, 0 is not influenceed on SOC, does not reach balance -1,
Original state：S1；
(3) last Utilization strategies alternative manner carries out calculating result.
One of preferred embodiment as the present invention, the calculation formula of the Policy iteration method is
One of preferred embodiment as the present invention, this method comprises the following steps：
(1) the Game tree of active balancing system are set up,
(2) calculated by Policy iteration method,
(3) so as to obtain optimal active balancing control decision.
One of preferred embodiment as the present invention, the optimal active balancing control decision is as shown in the table
One of preferred embodiment as the present invention, the Game Tree of the Policy iteration method are
| K | ∏k(s1) | ∏k(s2) | ∏k(s3) | Vk(a1) | Vk(a2) | Vk(a3) |
| 0 | a1 | a1 | a1 | 0 | 0 | 10 |
| 1 | a2 | a3 | a1 | 10 | 10 | 10 |
| 2 | a2 | a3 | a1 |
The Markovian decision of active balancing
Rule of judgment and scalar quantity are balanced according to balancing decision, wherein scalar quantity is
P1=0；P2=0.05；P3=0.05；P4=0；P5=10；P6=0.01.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
Any modifications, equivalent substitutions and improvements made within refreshing and principle etc., should be included in the scope of the protection.
Claims (5)
1. the method for carrying out electrokinetic cell active equalization judgement using implicit Markov model, Pack includes 8 modules, each
There are 12 cells in module, it is characterised in that each cell includes four kinds of battery equilibrium modes：Do not carry out
The balance of equilibrium process, monomer to the balance, the balance of monomer to module, module to monomer of battery bag；
This method comprises the following steps：
(1) process that is not balanced is converted to monomer to the scalar quantity of the balance of battery bag, is designated as P1, i.e. module
The difference of soc averages and Pack soc averages>During P1, into monomer to the balance of battery bag, the scalar quantity causes equilibrium process excellent
Monomer is first judged whether to the balance or monomer of battery bag to the balance of module, battery bag is arrived discounting for monomer
Balance, and only consider monomer and to the balance of module, then do not need the scalar quantity；
(2) after the balance without monomer to battery bag is judged, never it is balanced process and is converted to monomer and arrive module
The Rule of judgment scalar quantity of balance or module to the balance of monomer is designated as the soc values and whole module of monomer in P2, i.e. module
The absolute value of soc mean bias>During P2, into monomer to the balance of module or module to the balance of monomer, the scalar quantity is determined
The condition that inside modules are balanced；
(3) it is transformed into the mark not being balanced in the condition of process to the balance of monomer by the balance or module of monomer to module
P3 is quantitatively designated as, that is, the module of inside modules balance is being carried out, if the soc of the soc values and whole module of monomer is equal in module
It is worth the absolute value of deviation<During P3, then balance is exited；
(4) it is a scalar quantity on the limit value that autohaploid or subject monomers are not replaced in same module, that is, works as | mould
The difference of the SOC averages of the SOC of other monomer and module in block |-| the SOC of the monomer currently balanced and the SOC of module are equal
The difference of value |>During P4, then other monomer is replaced to the monomer currently balanced；
(5) the scalar quantity P5 of an equilibration times, the balance of monomer to battery bag, monomer to mould are given the problem of equilibration times
The size P6 of balanced balanced current in the balance of block, the balance of module to monomer, these three balance modes, the direct shadow of size of this value
The speed to balance is rung, it is too small, result in the need for balance for a long time, then cause to exceed the proper limits in righting a wrong greatly very much, also do not reach balance,
The characteristics of active balancing process of battery meets Markov model, that is, during being somebody's turn to do, only predicted with current state in the future,
Past is that for prediction, i.e. current later to-be is unrelated to former historic state in the future, then utilizes markov
Decision process obtains optimal active balancing control decision.
2. the method according to claim 1 for carrying out electrokinetic cell active equalization judgement using implicit Markov model,
Characterized in that, the Markovian decision comprises the following steps：
(1) carry out the Markov model of equilibrium establishment process first because there is 8 modules, first considered whether when being balanced into
Row monomer to battery bag balance, if without or carry out monomer to battery bag balance completion after if carry out each mould
Balance within block, and the balance mode within each module is probably different, so be modeled for a module,
The balancing decision situation of each module can just be reflected；
(2) provide the fundamental in the Markov model of a module again, note △ SOC be in each module with module
SOC averages deviate the difference of the monomer of maximum and the SOC averages of module；
State S:S1(△SOC>P2), S2 (△ SOC<- P2), S3 (| △ SOC |<P3), S4 (Module soc averages and pack
Soc averages difference>P1),
Act A：A1 (is not balanced process),
A2 (balance of monomer to battery bag),
A3 (balance of monomer to module),
A4 (balance of module to monomer),
Transfer matrix：T (s, a, s '),
Reward reward:R (s, a, s ') balance 1 is reached, 0 is not influenceed on SOC, does not reach balance -1, original state：S1；
(3) last Utilization strategies alternative manner carries out calculating result.
3. the method according to claim 2 for carrying out electrokinetic cell active equalization judgement using implicit Markov model,
Characterized in that, the calculation formula of the Policy iteration method is
4. the side that electrokinetic cell active equalization judgement is carried out using implicit Markov model according to claim 1-3
Method, it is characterised in that this method comprises the following steps：
(1) the Game tree of active balancing system are set up,
(2) calculated by Policy iteration method,
(3) so as to obtain optimal active balancing control decision.
5. the method according to claim 4 for carrying out electrokinetic cell active equalization judgement using implicit Markov model,
Characterized in that, the optimal active balancing control decision is as shown in the table
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112937369A (en) * | 2021-02-01 | 2021-06-11 | 合肥国轩高科动力能源有限公司 | Active equalization control method for power battery pack based on Mahalanobis process |
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| CN105429236A (en) * | 2015-12-25 | 2016-03-23 | 华南理工大学 | Power battery pack balance control method based on current prediction |
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2017
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| CN105429236A (en) * | 2015-12-25 | 2016-03-23 | 华南理工大学 | Power battery pack balance control method based on current prediction |
| CN105818707A (en) * | 2016-03-30 | 2016-08-03 | 宁波伟吉电力科技有限公司 | Battery control method and system and electric automobile |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112937369A (en) * | 2021-02-01 | 2021-06-11 | 合肥国轩高科动力能源有限公司 | Active equalization control method for power battery pack based on Mahalanobis process |
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