CN107230810A - The optimal charging current preparation method of lithium battery being lost based on charging interval and battery self-energy - Google Patents

The optimal charging current preparation method of lithium battery being lost based on charging interval and battery self-energy Download PDF

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CN107230810A
CN107230810A CN201710404551.8A CN201710404551A CN107230810A CN 107230810 A CN107230810 A CN 107230810A CN 201710404551 A CN201710404551 A CN 201710404551A CN 107230810 A CN107230810 A CN 107230810A
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charging
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CN107230810B (en
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吴晓刚
石文文
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Harbin University of Science and Technology
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    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44Methods for charging or discharging
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/05Accumulators with non-aqueous electrolyte
    • H01M10/052Li-accumulators
    • H01M10/0525Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodes; Lithium-ion batteries
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44Methods for charging or discharging
    • H01M10/446Initial charging measures
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44Methods for charging or discharging
    • H01M10/448End of discharge regulating measures
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

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  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The optimal charging current preparation method of lithium battery being lost based on charging interval and battery self-energy, is related to lithium cell charging technical field.The present invention is that, in order to solve the increase of existing lithium cell charging electric current, the charging interval reduces, and battery own loss is the problem of increase.The lithium battery optimal charging current preparation method of the present invention being lost based on charging interval and battery self-energy, using the maximum charging current of battery under different SOC as boundary condition, object function is built for object with the charging interval in whole charging process and the loss of battery self-energy, object function is optimized using dynamic programming algorithm, so as to obtain making the optimal charging current based on charging interval Yu battery own loss in whole charging process.The present invention is applied to as battery charging.

Description

Obtained based on charging interval and the optimal charging current of lithium battery that battery self-energy is lost The method of obtaining
Technical field
The invention belongs to lithium cell charging technical field.
Background technology
Current lithium battery is constant-current constant-voltage charging method using most charging methods, and battery is filled with constant current first Electricity, terminates when cell voltage, which reaches, is less than certain value using constant-voltage charge to charging current after certain value.Such a charging method letter List and it is easily controlled, but the selection of constant-current phase charging current is substantially obtained by experience, its energy loss with to battery Influence with the charging interval is uncertain.
The loss of battery self-energy is the main cause of battery-heating, and battery-heating easily causes battery thermal runaway;And fill Electric overlong time is to restrict one of key factor that battery is promoted the use of.Usual charging current increase, the charging interval diminishes, and electric The energy loss in pond itself can increase, the problem of this is one conflicting.
The content of the invention
The present invention is that the charging interval reduces, and battery own loss increases in order to solve existing lithium cell charging electric current increase Big the problem of, now provide the optimal charging current preparation method of lithium battery being lost based on charging interval and battery self-energy.
The optimal charging current preparation method of lithium battery being lost based on charging interval and battery self-energy,
It the described method comprises the following steps:
Charging process partiting step:Charging process is divided into N number of charging stage, propagation process of the wherein SOC from 0 to 1 In, it is a charging stage often to increase p%SOC;
Model establishment step:The single order RC equivalent-circuit models of lithium battery are set up, the model includes following parameter:Controlled electricity Potential source, the internal resistance of cell, polarization resistance and polarization capacity;
Boundary condition determines step:The ginseng of single order RC equivalent-circuit models in each charging stage is determined using charging experiment The boundary condition that number and charging current are chosen;
Object function establishment step:Set up and be lost with charging interval in whole charging process and battery self-energy as object Object function f:
Wherein, IjIt is the charging current of j-th of charging stage, Rj(Ij) be j-th of charging stage in charging current it is IjWhen Internal resistance resistance, ΔjIt is the charging interval of j-th of charging stage, W1jIt is the energy damage in j-th of charging stage in polarization resistance Consumption;
Optimal current obtains step:Object function f is optimized using dynamic programming algorithm, object function is obtained most Small value, obtains the optimal charging current of each charging stage.
The present invention is with the maximum charging current of battery under different SOC (preestimating battery state-of-charge, State of Charge) For boundary condition, object function is built for object with the charging interval in whole charging process and the loss of battery self-energy, adopted Object function is optimized with dynamic programming algorithm, so as to obtain making being based on the charging interval in whole charging process with battery certainly The optimal charging current of body loss.
A kind of optimal charging current acquisition side being lost based on lithium cell charging time and self-energy of the present invention Method, is related to battery boosting technology field, using the maximum charging current of battery under different SOC levels as boundary condition, considers The two conflicting aspects are lost with battery self-energy in battery charge time, build the mesh for object with the two aspects Scalar functions.It is N steps further charging process often to be changed with SOC 5% point, using dynamic programming algorithm, from final step forward Calculate, obtain the electric current of each step charging process, so that whole charging process is optimal, battery own loss is permanent with constant current Pressure charging method, which is compared, reduces 5%.
Brief description of the drawings
Fig. 1 is the flow for the optimal charging current preparation method of lithium battery being lost based on charging interval and battery self-energy Workflow graph;
Fig. 2 is the corresponding single order RC equivalent-circuit model schematic diagrames of each charging stage battery;
The flow chart that Fig. 3 tests for charging;
Fig. 4 is the method flow diagram optimized using dynamic programming algorithm to object function f;
Fig. 5 is the optimal charging current curve schematic diagram obtained after optimization.
Embodiment
Embodiment one:Reference picture 1, Fig. 2 and Fig. 5 illustrate present embodiment, the base described in present embodiment The optimal charging current preparation method of lithium battery being lost in charging interval and battery self-energy, comprises the following steps:
Charging process partiting step:Charging process is divided into N number of charging stage, propagation process of the wherein SOC from 0 to 1 In, it is a charging stage often to increase p%SOC;
Model establishment step:The single order RC equivalent-circuit models of lithium battery are set up, the model includes following parameter:Controlled electricity Potential source, the internal resistance of cell, polarization resistance and polarization capacity;
Boundary condition determines step:The ginseng of single order RC equivalent-circuit models in each charging stage is determined using charging experiment The boundary condition that number and charging current are chosen;
Object function establishment step:Set up and be lost with charging interval in whole charging process and battery self-energy as object Object function f:
Wherein, IjIt is the charging current of j-th of charging stage, Rj(Ij) be j-th of charging stage in charging current it is IjWhen Internal resistance resistance, ΔjIt is the charging interval of j-th of charging stage, W1jIt is the energy damage in j-th of charging stage in polarization resistance Consumption;
Optimal current obtains step:Object function f is optimized using dynamic programming algorithm, object function is obtained most Small value, obtains the optimal charging current of each charging stage.
Embodiment two:Present embodiment be to described in embodiment one based on charging interval and battery from The optimal charging current preparation method of lithium battery of body energy loss is described further, and in present embodiment, utilizes following methods It is determined that the boundary condition that the parameter and charging current of single order RC equivalent-circuit models are chosen in each charging stage:
In each charging stage, rate of charge is since 0.1C (C represents battery rated capacity), and rate of charge often increases 0.1C carries out once charging experiment, untill rate of charge reaches that lithium battery allows maximum charge multiplying power, X charging is carried out altogether real Test, obtain the parameter and X maximum charging current of X group single order RC equivalent-circuit models, X maximum charging current is fitted to one Bar current curve, the boundary condition that the current curve is chosen as the charging current of current charging stage.
Embodiment three:Reference picture 3 illustrates present embodiment, and present embodiment is to embodiment two It is described to be described further based on charging interval and the optimal charging current preparation method of lithium battery that battery self-energy is lost, In present embodiment, before charging experiment, charging experimentation is divided into M experimental stage first, wherein, SOC is from 0 to 1 In propagation process, it is an experimental stage often to increase q%SOC,
The charging experiment comprises the following steps:
Step 11:To static 5min after lithium cell charging 10s, the single order RC equivalent circuit moulds of i-th of experimental stage are obtained The initial value of shape parameter, wherein i is 1, then performs step 12;
Step 12:To lithium cell charging, and judge whether lithium battery voltage is more than charge cutoff voltage, be to perform step 16, otherwise perform step 13;
Step 13:Judge whether lithium cell charging capacity is more than or equal to i × q%SOC, be to make i=i+1, then perform Step 14, otherwise return to step 12;
Step 14:Judge whether i is more than M, be then to perform step 16, otherwise perform step 15;
Step 15:By the static 3h of lithium battery, step 11 is then back to;
Step 16:Complete charge is tested, and the maximum charging current corresponding to now lithium battery SOC is real for current charging The maximum charging current tested.
In present embodiment, a charging experiment results in the single order RC equivalent circuit model parameters of M experimental stage With the maximum charging current of a charging experiment.In each experimental stage, rate of charge is the rate of charge of current charging stage.
Embodiment four:Present embodiment be to described in embodiment three based on charging interval and battery from The optimal charging current preparation method of lithium battery of body energy loss is described further, in present embodiment, obtains i-th of experiment The single order RC equivalent circuit model parameters in stage are specially:
Parameter identification is carried out with nonlinear least square method, the single order RC equivalent-circuit models of i-th of experimental stage are obtained Parameter.
Embodiment five:Present embodiment be to described in embodiment one based on charging interval and battery from The optimal charging current preparation method of lithium battery of body energy loss is described further, in present embodiment, j-th of charging stage Charging interval ΔjObtained by below equation:
Wherein, s (j) is the SOC level of j-th of charging stage, and cap is the rated capacity of lithium battery, and unit is Ah.
Embodiment six:Present embodiment be to described in embodiment one based on charging interval and battery from The optimal charging current preparation method of lithium battery of body energy loss is described further, in present embodiment, j-th of charging stage Energy loss W in interior polarization resistance1jObtained by below equation:
Wherein, Δ is the sampling time, and α is the number of samples of j-th of charging stage, R1j(Ij) and C1j(Ij) it is respectively jth Individual charging stage polarization resistance value and polarization capacity value, U1jFor the voltage on j-th of charging stage initial time polarization capacity.
In present embodiment, first, if in j-th of charging stage each sampling time be Δ, then j-th charging stage Number of samples α is:
The then energy loss W in j-th of charging stage in polarization resistance1jFor:
For j-th of charging stage any sampling instant k charging current, its expression formula is:
Therefore, W1jIt can be rewritten as:
Influenceed by a upper charging stage, the voltage of each charging stage initial time of polarization capacity was a upper charging stage The voltage at end moment, in order to express voltage of the polarization capacity in each charging stage initial time, fills using from last The method of recursion forward of electric stage.Due to the charging current very little of last charging stage, the charging interval is relatively long, therefore Think the electric current I in the last moment polarization resistance of last charging stageNStable state is reached:
Wherein, I1NMIt is the electric current in last last moment charging stage polarization resistance, ΔNFor last charging stage Charging interval, R1N(IN) it is that last charging stage polarization resistance is I in electric currentNWhen resistance, C1N(IN) it is last Individual charging stage polarization capacity is I in electric currentNWhen capacitance, U1NFor on last charging stage initial time polarization capacity Voltage;
The voltage U on last charging stage initial time polarization capacity can be drawn1N, and now on polarization capacity Voltage was the voltage at a upper end moment charging stage again:
I1(N-1)MFor the electric current in the N-1 last moment charging stage polarization resistance, R1(N-1)It is the N-1 charging rank Section polarization resistance is I in electric currentN-1When resistance, IN-1For the charging current of the N-1 charging stage, U1(N-1)Filled for N-1 Voltage on electric stage initial time polarization capacity, R1(N-1)(IN-1) it is that the N-1 charging stage polarization resistance is I in electric currentN-1 When resistance, C1(N-1)(IN-1) it is that the N-1 charging stage polarization capacity is I in electric currentN-1When capacitance, Δ(N-1)For N- The charging interval of 1 charging stage.
Voltage of the polarization capacity in the N-1 charging stage initial time can be drawn.By constantly recursion back to front, Voltage U of the polarization capacity in the initial time of each charging stage can be obtained1j
Embodiment seven:Present embodiment be to described in embodiment one based on charging interval and battery from The optimal charging current preparation method of lithium battery of body energy loss is described further, and in present embodiment, utilizes Dynamic Programming Algorithm is to the object function f methods optimized:
Step 21:The initial value for making j is N, adds a charging stage, i.e.,:N+1 stages, and lithium battery self-energy W is lostN+1(IN+1)=0, charging interval TN+1(IN+1)=0, then performs step 22,
Step 22:Order
0<IN<INmax
0<IN-1<I(N-1)max
...
0<Ij<Ijmax
Wherein, IjmaxThe boundary condition chosen for j-th of charging stage charging current, j=1,2 ..., N.
Step 23:Judge whether below equation is set up:
Tj(Ij)=opt (Δsj+Tj+1)
Opt=min { Wj(Ij)Tj(Ij)}
It is to make j=j-1, is then back to step 22, otherwise performs step 24,
In above formula, Δ is sampling time, Rj(Ij) be j-th of charging stage be I in charging currentjWhen internal resistance resistance, I1jkFor the electric current of j-th of charging stage, k-th of charging moment polarization resistance, Wj(Ij) arrived for j-th of charging stage initial time The energy loss of battery itself, T at the end of chargingj(Ij) it is j-th charging stage initial time to the time at the end of charging, Tj+1For the time at the end of+1 charging stage initial time of jth to charging, opt represents optimal;
Step 24:Whether be 1, be then to complete optimization if judging j, otherwise return to step 22.

Claims (7)

1. the optimal charging current preparation method of lithium battery being lost based on charging interval and battery self-energy, it is characterised in that It the described method comprises the following steps:
Charging process partiting step:Charging process is divided into N number of charging stage, wherein SOC is from 0 to 1 propagation process, often It is a charging stage to increase p%SOC;
Model establishment step:The single order RC equivalent-circuit models of lithium battery are set up, the model includes following parameter:Controlled voltage Source, the internal resistance of cell, polarization resistance and polarization capacity;
Boundary condition determines step:Using charging experiment determine in each charging stage the parameter of single order RC equivalent-circuit models and The boundary condition that charging current is chosen;
Object function establishment step:Set up the mesh being lost with charging interval in whole charging process and battery self-energy as object Scalar functions f:
<mrow> <mi>f</mi> <mo>=</mo> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mo>{</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mo>&amp;lsqb;</mo> <msubsup> <mi>I</mi> <mi>j</mi> <mn>2</mn> </msubsup> <msub> <mi>R</mi> <mi>j</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <msub> <mi>&amp;Delta;</mi> <mi>j</mi> </msub> <mo>+</mo> <msub> <mi>W</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mo>&amp;rsqb;</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>&amp;Delta;</mi> <mi>j</mi> </msub> <mo>}</mo> <mo>;</mo> </mrow>
Wherein, IjIt is the charging current of j-th of charging stage, Rj(Ij) be j-th of charging stage in charging current it is IjWhen it is interior Hinder resistance, ΔjIt is the charging interval of j-th of charging stage, W1jIt is the energy loss in j-th of charging stage in polarization resistance;
Optimal current obtains step:Object function f is optimized using dynamic programming algorithm, obtains object function minimum Value, obtains the optimal charging current of each charging stage.
2. according to claim 1 obtained based on charging interval and the optimal charging current of lithium battery that battery self-energy is lost Method, it is characterised in that determine in each charging stage the parameter of single order RC equivalent-circuit models using following methods and fill The boundary condition that electric current is chosen:
In each charging stage, rate of charge is since 0.1C, and rate of charge often increases 0.1C and carries out once charging experiment, to filling Untill electric multiplying power reaches that lithium battery allows maximum charge multiplying power, X charging experiment is carried out altogether, X group single order RC equivalent circuits are obtained The parameter of model and X maximum charging current, a current curve is fitted to by X maximum charging current, by the current curve The boundary condition chosen as the charging current of current charging stage.
3. according to claim 2 obtained based on charging interval and the optimal charging current of lithium battery that battery self-energy is lost Method, it is characterised in that before charging experiment, charging experimentation is divided into M experimental stage first, wherein, SOC is from 0 Into 1 propagation process, it is an experimental stage often to increase q%SOC,
The charging experiment comprises the following steps:
Step 11:To static 5min after lithium cell charging 10s, the single order RC equivalent-circuit models ginseng of i-th of experimental stage is obtained Number, wherein i initial value are 1, then perform step 12;
Step 12:To lithium cell charging, and judge whether lithium battery voltage is more than charge cutoff voltage, be then to perform step 16, Otherwise step 13 is performed;
Step 13:Judge whether lithium cell charging capacity is more than or equal to i × q%SOC, be to make i=i+1, then perform step 14, otherwise return to step 12;
Step 14:Judge whether i is more than M, be then to perform step 16, otherwise perform step 15;
Step 15:By the static 3h of lithium battery, step 11 is then back to;
Step 16:Complete charge is tested, and is current charging experiment by the maximum charging current corresponding to now lithium battery SOC Maximum charging current.
4. according to claim 3 obtained based on charging interval and the optimal charging current of lithium battery that battery self-energy is lost Method, it is characterised in that obtain i-th of experimental stage single order RC equivalent circuit model parameters be specially:
Parameter identification is carried out with nonlinear least square method, the single order RC equivalent circuit model parameters of i-th of experimental stage are obtained.
5. according to claim 1 obtained based on charging interval and the optimal charging current of lithium battery that battery self-energy is lost The method of obtaining, it is characterised in that the charging interval Δ of j-th of charging stagejObtained by below equation:
<mrow> <mi>s</mi> <mrow> <mo>(</mo> <mi>j</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>=</mo> <mi>s</mi> <mo>(</mo> <mi>j</mi> <mo>)</mo> <mo>+</mo> <mfrac> <msub> <mi>&amp;Delta;</mi> <mi>j</mi> </msub> <mrow> <mn>3600</mn> <mi>c</mi> <mi>a</mi> <mi>p</mi> </mrow> </mfrac> <msub> <mi>I</mi> <mi>j</mi> </msub> </mrow>
Wherein, s (j) is the SOC level of j-th of charging stage, and cap is the rated capacity of lithium battery, and unit is Ah.
6. according to claim 1 obtained based on charging interval and the optimal charging current of lithium battery that battery self-energy is lost The method of obtaining, it is characterised in that the energy loss W in j-th of charging stage in polarization resistance1jObtained by below equation:
<mrow> <msub> <mi>W</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>&amp;alpha;</mi> </munderover> <msup> <mrow> <mo>&amp;lsqb;</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <mfrac> <mrow> <mi>k</mi> <mi>&amp;Delta;</mi> </mrow> <mrow> <msub> <mi>R</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <msub> <mi>C</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow> </msup> <mo>)</mo> </mrow> <mo>+</mo> <mfrac> <msub> <mi>U</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mrow> <msub> <mi>R</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <msup> <mi>e</mi> <mrow> <mo>-</mo> <mfrac> <mrow> <mi>k</mi> <mi>&amp;Delta;</mi> </mrow> <mrow> <msub> <mi>R</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <msub> <mi>C</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow> </msup> <mo>&amp;rsqb;</mo> </mrow> <mn>2</mn> </msup> <msub> <mi>R</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <mi>&amp;Delta;</mi> </mrow>
Wherein, Δ is the sampling time, and α is the number of samples of j-th of charging stage, R1j(Ij) and C1j(Ij) it is respectively to fill for j-th Electric stage polarization resistance value and polarization capacity value, U1jFor the voltage on j-th of charging stage initial time polarization capacity.
7. according to claim 1 obtained based on charging interval and the optimal charging current of lithium battery that battery self-energy is lost The method of obtaining, it is characterised in that be to the object function f methods optimized using dynamic programming algorithm:
Step 21:The initial value for making j is N, adds a charging stage, i.e.,:N+1 stages, and the loss of lithium battery self-energy WN+1(IN+1)=0, charging interval TN+1(IN+1)=0, then performs step 22,
Step 22:Order
0<IN<INmax
0<IN-1<I(N-1)max
...
0<Ij<Ijmax
Wherein, IjmaxThe boundary condition chosen for j-th of charging stage charging current, j=1,2 ..., N.
Step 23:Judge whether below equation is set up:
<mrow> <msub> <mi>W</mi> <mi>j</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mi>o</mi> <mi>p</mi> <mi>t</mi> <mo>{</mo> <mo>&amp;lsqb;</mo> <msubsup> <mi>I</mi> <mi>j</mi> <mn>2</mn> </msubsup> <msub> <mi>R</mi> <mi>j</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <msub> <mi>&amp;Delta;</mi> <mi>j</mi> </msub> <mo>+</mo> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>M</mi> </munderover> <msubsup> <mi>I</mi> <mrow> <mn>1</mn> <mi>j</mi> <mi>k</mi> </mrow> <mn>2</mn> </msubsup> <msub> <mi>R</mi> <mrow> <mn>1</mn> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <mi>&amp;Delta;</mi> <mo>&amp;rsqb;</mo> <mo>+</mo> <msub> <mi>W</mi> <mrow> <mi>j</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mrow> <mi>j</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> <mo>}</mo> </mrow>
Tj(Ij)=opt (Δsj+Tj+1)
Opt=min { Wj(Ij)Tj(Ij)}
It is to make j=j-1, is then back to step 22, otherwise performs step 24,
In above formula, Δ is sampling time, Rj(Ij) be j-th of charging stage be I in charging currentjWhen internal resistance resistance, I1jkFor The electric current of j-th of charging stage, k-th of charging moment polarization resistance, Wj(Ij) tied for j-th of charging stage initial time to charging The energy loss of battery itself, T during beamj(Ij) for j-th charging stage initial time to the time at the end of charging, Tj+1For J+1 charging stage initial time is to the time at the end of charging, and opt represents optimal;
Step 24:Whether be 1, be then to complete optimization if judging j, otherwise return to step 22.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109509927A (en) * 2019-01-07 2019-03-22 东莞赣锋电子有限公司 A kind of charging modes of lithium ion battery
CN109672000A (en) * 2019-02-19 2019-04-23 惠州亿纬锂能股份有限公司 Charging method, device, equipment and the storage medium of lithium battery
CN109713762A (en) * 2019-02-28 2019-05-03 深圳猛犸电动科技有限公司 A kind of charge control method, device and terminal device
CN111092272A (en) * 2019-12-18 2020-05-01 湖南大学 Lithium ion battery three-stage charging method considering internal resistance characteristic
CN114062941A (en) * 2020-07-31 2022-02-18 比亚迪股份有限公司 Power battery state of charge estimation method and device and electric vehicle
US20220283237A1 (en) * 2021-03-03 2022-09-08 Semiconductor Components Industries, Llc Battery charge support system for reducing energy loss

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140035538A1 (en) * 2011-04-15 2014-02-06 Commissariat A L'energie Atomique Et Aux Energies Alternatives Method for Optimally Charging an Electrochemical Battery
CN105514514A (en) * 2016-02-05 2016-04-20 国家电网公司 Optimized charging method of lithium-ion power battery
CN105552465A (en) * 2015-12-03 2016-05-04 北京交通大学 Lithium ion battery optimized charging method based on time and temperature

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140035538A1 (en) * 2011-04-15 2014-02-06 Commissariat A L'energie Atomique Et Aux Energies Alternatives Method for Optimally Charging an Electrochemical Battery
CN105552465A (en) * 2015-12-03 2016-05-04 北京交通大学 Lithium ion battery optimized charging method based on time and temperature
CN105514514A (en) * 2016-02-05 2016-04-20 国家电网公司 Optimized charging method of lithium-ion power battery

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘伟等: "一种均衡考虑锂电池内部能量损耗和充电速度的多段恒流充电方法", 《电工技术学报》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109509927A (en) * 2019-01-07 2019-03-22 东莞赣锋电子有限公司 A kind of charging modes of lithium ion battery
CN109509927B (en) * 2019-01-07 2021-01-19 东莞赣锋电子有限公司 Charging mode of lithium ion battery
CN109672000A (en) * 2019-02-19 2019-04-23 惠州亿纬锂能股份有限公司 Charging method, device, equipment and the storage medium of lithium battery
CN109713762A (en) * 2019-02-28 2019-05-03 深圳猛犸电动科技有限公司 A kind of charge control method, device and terminal device
CN111092272A (en) * 2019-12-18 2020-05-01 湖南大学 Lithium ion battery three-stage charging method considering internal resistance characteristic
CN111092272B (en) * 2019-12-18 2023-04-18 湖南大学 Lithium ion battery three-stage charging method considering internal resistance characteristic
CN114062941A (en) * 2020-07-31 2022-02-18 比亚迪股份有限公司 Power battery state of charge estimation method and device and electric vehicle
US20220283237A1 (en) * 2021-03-03 2022-09-08 Semiconductor Components Industries, Llc Battery charge support system for reducing energy loss
US11789087B2 (en) * 2021-03-03 2023-10-17 Semiconductor Components Industries, Llc Battery charge support system for reducing energy loss

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