CN116315294A - Self-heating method of power battery and battery management system - Google Patents
Self-heating method of power battery and battery management system Download PDFInfo
- Publication number
- CN116315294A CN116315294A CN202211636338.7A CN202211636338A CN116315294A CN 116315294 A CN116315294 A CN 116315294A CN 202211636338 A CN202211636338 A CN 202211636338A CN 116315294 A CN116315294 A CN 116315294A
- Authority
- CN
- China
- Prior art keywords
- battery
- internal resistance
- temperature
- ohmic internal
- heating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010438 heat treatment Methods 0.000 title claims abstract description 70
- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000005284 excitation Effects 0.000 claims abstract description 38
- 230000004044 response Effects 0.000 claims abstract description 10
- 238000010586 diagram Methods 0.000 claims description 13
- 238000003487 electrochemical reaction Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 10
- 230000032683 aging Effects 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 238000012546 transfer Methods 0.000 abstract description 13
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 abstract description 5
- 229910052744 lithium Inorganic materials 0.000 abstract description 5
- 239000000463 material Substances 0.000 abstract description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 9
- 229910001416 lithium ion Inorganic materials 0.000 description 9
- 230000006870 function Effects 0.000 description 7
- 239000000126 substance Substances 0.000 description 6
- 238000013507 mapping Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
- 238000001556 precipitation Methods 0.000 description 3
- 230000004913 activation Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 239000007790 solid phase Substances 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005485 electric heating Methods 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000000178 monomer Substances 0.000 description 1
- 239000007773 negative electrode material Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000003998 snake venom Substances 0.000 description 1
- 230000035882 stress Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/61—Types of temperature control
- H01M10/615—Heating or keeping warm
-
- 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
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/61—Types of temperature control
- H01M10/617—Types of temperature control for achieving uniformity or desired distribution of temperature
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/63—Control systems
- H01M10/633—Control systems characterised by algorithms, flow charts, software details or the like
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/63—Control systems
- H01M10/637—Control systems characterised by the use of reversible temperature-sensitive devices, e.g. NTC, PTC or bimetal devices; characterised by control of the internal current flowing through the cells, e.g. by switching
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/65—Means for temperature control structurally associated with the cells
- H01M10/657—Means for temperature control structurally associated with the cells by electric or electromagnetic means
- H01M10/6572—Peltier elements or thermoelectric devices
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Automation & Control Theory (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to a self-heating method of a power battery and a battery management system in the technical field of battery heating management, which comprises the following steps: establishing an open-circuit voltage-temperature curve and an ohmic internal resistance-temperature model; acquiring a current open-circuit voltage based on an open-circuit voltage-temperature curve, and acquiring an ohmic internal resistance frequency and an ohmic internal resistance value based on an ohmic internal resistance-temperature model; acquiring a temperature rise value, acquiring an alternating current excitation current amplitude and an alternating current excitation current frequency based on an open circuit voltage, an ohmic internal resistance value and an ohmic internal resistance response frequency, and applying the alternating current excitation current amplitude and the alternating current excitation current frequency to a power battery for heating; and judging whether the power battery reaches the target temperature and the temperature rise rate, if so, stopping heating, otherwise, returning to the step of acquiring the current open-circuit voltage, the ohmic internal resistance response frequency and the ohmic internal resistance value, and solving the problem of limitation of the traditional method that lithium is separated from the cathode to be maximized and the temperature rise are difficult to control when the temperature is raised and heated by using the ohmic internal resistance, the charge transfer resistance and the material transfer resistance.
Description
Technical Field
The invention relates to the technical field of battery heating management, in particular to a self-heating method of a power battery and a battery management system.
Background
Compared with the traditional power battery, the lithium ion battery has the advantages of high voltage, high energy density, good cycle performance and the like, is widely applied to the field of electric automobiles, and particularly has the advantages that lithium ions are desolvated during charging and discharging of the lithium ion battery, the activation energy required to be overcome in the process from electrolyte to passing through an SEI film and charge transfer is high, the lithium ions are embedded in a negative electrode to be increased along with the progress of charging, the activation energy required to be overcome is increased, the solid-phase diffusion difficulty of the lithium ions is increased, and lithium precipitation can occur when the lithium ions are slowly diffused in the negative electrode material in a solid phase manner and the charging current density is high, so that the battery performance is influenced, and the potential safety hazard is caused seriously.
Currently, low-temperature heating of lithium ion batteries in the application field of power batteries generally includes external heating methods such as hot air flow, liquid cooling plates and electric heating plates, and battery self-heating methods such as low-current charge or discharge. The low-temperature external heating method has the advantages of low energy utilization rate, poor heating effect, large temperature difference inside the battery and long heating time; specifically, in the existing battery self-heating method, a battery OCV-T curve and an R-T model are established, and the battery self-heating method is based on the temperature of the current battery pack, the external environment temperature,Dynamic forceDetecting signals such as terminal voltage of The battery, calculating and updating alternating current excitation current amplitude in time and applying The alternating current excitation current amplitude to two ends of The battery, ensuring that The terminal voltage of The battery is not out of limit, and ensuring that The current is in a range of load current allowed by The battery so as to enable The battery to generate heat automatically, wherein an R value in an R-T model is according to TheCalculating a venin power battery equivalent circuit; r value is represented by ohmic resistance R 0 (T) SEI film impedance R SEI (T) electrochemical impedance R CT (T) SEI film C SEI Electrochemical reaction capacitance C dl The composition of the battery is that the battery is self-heated by adopting charge transfer impedance and substance transfer impedance in the heating method, the current is not suitable to be large, the self-heating time is long, lithium is easy to be separated from a negative electrode to influence the service life of the battery, and no reference and no method are mentioned for alternating current frequency selection.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a self-heating method of a power battery and a battery management system, which solve the problems of limitation of maximized lithium precipitation of a negative electrode and difficult temperature and temperature rise control when the traditional method of heating by utilizing ohmic internal resistance, charge transfer resistance and substance transfer resistance is adopted.
In order to solve the technical problems, the invention is solved by the following technical scheme:
a self-heating method of a power battery comprises the following steps:
establishing an open-circuit voltage-temperature curve and an ohmic internal resistance-temperature model;
acquiring a current open-circuit voltage based on the open-circuit voltage-temperature curve, and acquiring ohmic internal resistance frequency and an ohmic internal resistance value based on the ohmic internal resistance-temperature model;
acquiring a temperature rise value, acquiring an alternating current excitation current amplitude and an alternating current excitation current frequency based on the temperature rise value, an open circuit voltage, an ohmic internal resistance value and an ohmic internal resistance response frequency, and applying the alternating current excitation current amplitude and the alternating current excitation current frequency to a battery for heating;
and judging whether the battery reaches the target temperature and the target temperature rise rate, if so, stopping heating, and if not, returning to the step of acquiring the current open-circuit voltage, the battery impedance value and the ohmic internal resistance value.
Optionally, establishing an open-circuit voltage-temperature curve includes the steps of:
under the condition of a certain SOC value and a certain battery aging degree, acquiring a plurality of groups of measured open-circuit voltages and corresponding measured temperatures of the batteries;
an open-circuit voltage-temperature curve is generated based on the plurality of sets of measured open-circuit voltages and the corresponding measured temperatures.
Optionally, establishing an ohmic internal resistance-temperature model, including the steps of:
measuring an electrochemical reaction impedance Nyquist diagram of the battery at different SOC values;
and acquiring an ohmic internal resistance value based on the electrochemical reaction impedance Nyquist diagram, establishing a relation of the ohmic internal resistance value along with temperature change, and generating an ohmic internal resistance-temperature model.
Optionally, the method further comprises the following steps:
judging whether the elevated temperature of the battery reaches a target temperature elevation rate;
if yes, judging whether the battery reaches the target temperature, and if not, returning to the step of acquiring the current open-circuit voltage, the battery impedance value and the ohmic internal resistance value.
Optionally, the target heating rate is 0.5-2 ℃/min.
Optionally, the method further comprises the following steps:
and judging whether the battery needs to be self-heated or not.
Optionally, determining whether the battery needs self-heating includes the following steps:
measuring a current temperature of the battery;
setting a heating threshold value, and judging whether the current temperature is higher than the heating threshold value;
if so, self-heating is not required, and if not, self-heating is required.
Optionally, the method further comprises the following steps:
the open circuit voltage-temperature curve, ohmic internal resistance-temperature model is stored within a battery management system.
A battery management system for a power battery, the system executing the self-heating method for a power battery according to any one of the above, the battery management system having an EIS detection function for obtaining an ohmic internal resistance value and an ohmic internal resistance response frequency, and calculating an ac excitation current frequency and an ac excitation current amplitude.
A computer readable storage medium storing a computer program which, when executed by a processor, performs the power cell self-heating method of any one of the above.
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
determining ohmic internal resistance value of battery by Open Circuit Voltage (OCV) and electrochemical reaction impedance (EIS) of battery at present temperature, and taking minimum characteristic frequency of ohmic internal resistance in high frequency region as minimum AC excitation current frequencyThe allowable alternating current excitation current is determined according to the target temperature rise, and the high-frequency alternating current excitation is applied to the low-temperature battery to perform internal heating, so that the charge transfer impedance and the substance transfer impedance generated by the internal electrochemical reaction of the battery are not enough, and the damage of lithium precipitation to the battery is avoided; on the other hand, the whole temperature of the battery is uniform, the heating time is short, and the damage of the traditional external heating method to the battery caused by the electrothermal stress due to the uneven internal temperature of the battery can not be caused.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart of a self-heating method of a power battery according to a first embodiment;
fig. 2 is a schematic diagram of an equivalent electrochemical reaction circuit of a lithium ion battery according to the first embodiment;
fig. 3 is a schematic diagram illustrating electrochemical impedance Nyquist and ac excitation frequency selection of a lithium ion battery according to the present embodiment.
Detailed Description
The present invention will be described in further detail with reference to the following examples, which are illustrative of the present invention and are not intended to limit the present invention thereto.
Example 1
As shown in fig. 1, a self-heating method of a power battery includes the following steps: judging whether the battery needs self-heating or not, specifically, measuring the current temperature of the battery; setting a heating threshold value, and judging whether the current temperature is higher than the heating threshold value; if so, self-heating is not required, and if not, self-heating is required.
Before carrying out the alternating current heating, firstly, measuring the current temperature in a real-time temperature monitoring mode, then, a person skilled in the art can set a heating threshold value required by the battery to be self-heated according to actual conditions, and is used for judging whether the battery is self-heated or not, if the current temperature and the heating rate are higher than the set heating threshold value, the current temperature and the heating rate represent that the battery temperature meets the requirements, the alternating current is not required to be used for self-heating, and equipment using the battery is normally started or operated, otherwise, the battery temperature is required to be self-heated, and the alternating current is required to be self-heated.
When the battery needs to be continuously self-heated, firstly establishing an open-circuit voltage-temperature curve and an ohmic internal resistance-temperature model, and storing the open-circuit voltage-temperature curve and the ohmic internal resistance-temperature model in a battery management system, wherein the open-circuit voltage-temperature curve is established, and the method comprises the following steps of: under the condition of a certain SOC value and a certain battery aging degree, obtaining the measured open-circuit voltage and the corresponding measured temperature of a plurality of groups of batteries; an open-circuit voltage-temperature curve is generated based on the plurality of sets of measured open-circuit voltages and the corresponding measured temperatures.
Specifically, the Open Circuit Voltage (OCV) and the temperature (T) of the battery have a one-to-one mapping relationship under the relatively stable state of the state of charge SOC and the aging degree, the mapping relationship is the physical and chemical characteristics inherent in the battery, the mapping relationship of the same type of battery under the same SOC and the same aging life is related to the material of the battery, according to the mapping relationship, an OCV-T curve which is relatively stable under a certain SOC and a certain aging life, namely, an open circuit voltage-temperature variation curve, can be established, and according to the curve, the OCV value at a certain moment can be estimated by a certain moment temperature value under the condition of determining the SOC.
An ohmic internal resistance-temperature model is established, which comprises the following steps: measuring an electrochemical reaction impedance Nyquist diagram of the battery at different SOC values; and acquiring an ohmic internal resistance value based on an electrochemical reaction impedance Nyquist diagram, establishing a relation of the ohmic internal resistance value along with temperature change, and generating an ohmic internal resistance-temperature model.
Specifically, as shown in fig. 2 and 3, the ohmic internal resistance, the charge transfer resistance and the substance transfer resistance of the battery are obtained according to the electrochemical reaction resistance Nyquist diagram of the battery under different SOCs; the battery is measured under different SOC values, and the relation of the ohmic impedance of the battery along with the temperature change is established, and the establishment of the ohmic internal resistance-temperature model can be automatically generated through a battery management system according to the actually measured values.
As shown in fig. 3, signal behaviors of the ohmic internal resistance, the charge transfer impedance and the substance transfer impedance fed back in different frequency ranges can be obtained, and the alternating current excitation current frequency of the ohmic internal resistance in a high-frequency area is determined, wherein the minimum characteristic frequency fed back for the high-frequency area of the ohmic internal resistance, namely the minimum alternating current excitation current frequency, is the minimum characteristic frequency, so that the problem of rapidly exchanging the alternating current direction is solved.
Further, the current open-circuit voltage is obtained based on the open-circuit voltage-temperature curve, the ohmic internal resistance value and the ohmic internal resistance response frequency are obtained based on the ohmic internal resistance-temperature model, wherein the OCV-T curve, the ohmic internal resistance-temperature model and the alternating current excitation current frequency at different temperatures are stored in the BMS system in advance before alternating current heating and can be called and controlled by the BMS system, so that the current open-circuit voltage, the ohmic internal resistance response frequency and the ohmic internal resistance value can be obtained through reading the stored OCV-T curve and the ohmic internal resistance-temperature model.
Further, acquiring a temperature rise value, acquiring an alternating voltage, an alternating excitation current amplitude and an alternating excitation current value based on an open-circuit voltage, an ohmic internal resistance value and an ohmic internal resistance response frequency, and heating a battery by using the alternating excitation current value, wherein the BMS system can acquire information such as measured value Ut (k) and temperature of terminal voltage of a battery cell and/or a battery pack, and ambient temperature in real time through a data acquisition device or a sensor, and store the information in a corresponding memory, so as to provide reliable real-time information input for the calculation of the alternating excitation current amplitude, and the acquisition mode of the alternating excitation current amplitude is as follows: first, according to ohm's law, the maximum current limit that a battery can withstand at the temperature T at time k can be derived from: the OCV at the temperature T at the k moment can be obtained from OCV-T curves at different temperatures, the OCV-T curve is the maximum allowable current limit value at the temperature T at the k moment, and the amplitude of the alternating current excitation current is positive and negative.
Further, the allowable alternating current excitation current is determined according to the target temperature rise: the maximum value of the current excitation current is obtained by taking the heat dissipation in a short time, namely when the electric energy is completely converted into heat energy, wherein t is heating time, cp is the specific heat capacity of the battery at a fixed pressure, cp is temperature rise, and the set value obtained through temperature real-time monitoring, wherein m is a coefficient, t=, n is the number of times of exchanging current, is the loaded alternating voltage value, is smaller than or equal to the maximum upper limit voltage of the battery, and meets the minimum value in the two temperatures of the temperature rise which is smaller than the target temperature rise, so that the conditions of excessively fast temperature rise and damage to the battery are prevented.
Further, the amplitude and the frequency of the alternating current excitation current are used as the frequency to be applied to the battery, the internal heating of the battery is carried out, and in the heating process, whether the rising temperature of the battery reaches the target temperature rising rate or not is judged; if so, judging whether the battery reaches the target temperature, and if not, returning to the step of acquiring the current open-circuit voltage, the battery impedance value and the ohmic internal resistance value, wherein the target temperature rise rate is 0.5-2 ℃/min.
And finally, judging whether the battery reaches the target temperature and the target temperature rise rate, if so, stopping heating, otherwise, returning to the step of acquiring the current open-circuit voltage, the battery impedance value and the ohmic internal resistance value, and repeating the cycle, and updating the alternating current excitation current amplitude every time the battery temperature rises once, thereby completing the gradient heating of the current transformer.
Example two
A battery management system of a power battery performs the self-heating method of the power battery according to the first embodiment, and the battery management system has an EIS detection function, is used for obtaining an ohmic internal resistance value and an ohmic internal resistance response frequency, calculating an alternating current excitation current frequency and an alternating current excitation current amplitude, collecting information such as a measured value Ut (k) and a temperature of a terminal voltage of a power battery monomer and/or a power battery pack, an ambient temperature and the like in real time through a data collector or a sensor, storing the information in a corresponding memory, and providing reliable real-time information input for calculating the alternating current excitation current amplitude.
A computer readable storage medium storing a computer program which, when executed by a processor, performs the method of self-heating a power cell of any one of the above.
More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wire segments, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and the division of modules, or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units, modules, or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed.
The units may or may not be physically separate, and the components shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such embodiments, the computer program may be downloaded and installed from a network via a communication portion, and/or installed from a removable medium. The above-described functions defined in the method of the present application are performed when the computer program is executed by a Central Processing Unit (CPU). It should be noted that the computer readable medium described in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the present invention is not limited thereto, but any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The self-heating method of the power battery is characterized by comprising the following steps of:
establishing an open-circuit voltage-temperature curve and an ohmic internal resistance-temperature model;
acquiring a current open-circuit voltage based on the open-circuit voltage-temperature curve, and acquiring ohmic internal resistance frequency and an ohmic internal resistance value based on the ohmic internal resistance-temperature model;
acquiring a temperature rise value, acquiring an alternating current excitation current amplitude and an alternating current excitation current frequency based on the temperature rise value, an open circuit voltage, an ohmic internal resistance value and an ohmic internal resistance response frequency, and applying the alternating current excitation current amplitude and the alternating current excitation current frequency to a battery for heating;
and judging whether the battery reaches the target temperature and the target temperature rise rate, if so, stopping heating, and if not, returning to the step of acquiring the current open-circuit voltage, the battery impedance value and the ohmic internal resistance value.
2. The method of claim 1, wherein establishing an open circuit voltage-temperature curve comprises the steps of:
under the condition of a certain SOC value and a certain battery aging degree, acquiring a plurality of groups of measured open-circuit voltages and corresponding measured temperatures of the batteries;
an open-circuit voltage-temperature curve is generated based on the plurality of sets of measured open-circuit voltages and the corresponding measured temperatures.
3. The method of claim 1, wherein establishing an ohmic internal resistance-temperature model comprises the steps of:
measuring an electrochemical reaction impedance Nyquist diagram of the battery at different SOC values;
and acquiring an ohmic internal resistance value based on the electrochemical reaction impedance Nyquist diagram, establishing a relation of the ohmic internal resistance value along with temperature change, and generating an ohmic internal resistance-temperature model.
4. The method of self-heating a power cell as defined in claim 1, further comprising the steps of:
judging whether the elevated temperature of the battery reaches a target temperature elevation rate;
if yes, judging whether the battery reaches the target temperature, and if not, returning to the step of acquiring the current open-circuit voltage, the battery impedance value and the ohmic internal resistance value.
5. The self-heating method of a power battery according to claim 4, wherein the target heating rate is 0.5-2 ℃/min.
6. The method of self-heating a power cell as defined in claim 1, further comprising the steps of:
and judging whether the battery needs to be self-heated or not.
7. The method of claim 6, wherein determining whether the battery is to be self-heated comprises the steps of:
measuring a current temperature of the battery;
setting a heating threshold value, and judging whether the current temperature is higher than the heating threshold value;
if so, self-heating is not required, and if not, self-heating is required.
8. The method of self-heating a power cell as defined in claim 1, further comprising the steps of:
the open circuit voltage-temperature curve, ohmic internal resistance-temperature model is stored within a battery management system.
9. A battery management system for a power battery, wherein the system performs the self-heating method for a power battery according to any one of claims 1 to 8, and the battery management system has an EIS detection function for acquiring an ohmic internal resistance value and an ohmic internal resistance response frequency, and calculating an ac excitation current frequency and an ac excitation current amplitude.
10. A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, performs the power battery self-heating method according to any one of claims 1-8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211636338.7A CN116315294A (en) | 2022-12-20 | 2022-12-20 | Self-heating method of power battery and battery management system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211636338.7A CN116315294A (en) | 2022-12-20 | 2022-12-20 | Self-heating method of power battery and battery management system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116315294A true CN116315294A (en) | 2023-06-23 |
Family
ID=86800265
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211636338.7A Pending CN116315294A (en) | 2022-12-20 | 2022-12-20 | Self-heating method of power battery and battery management system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116315294A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117310507A (en) * | 2023-11-29 | 2023-12-29 | 上海泰矽微电子有限公司 | Charging cut-off current estimation method, device, equipment and medium |
CN117648899A (en) * | 2024-01-29 | 2024-03-05 | 浙江地芯引力科技有限公司 | Battery modeling method, device, electronic equipment and storage medium |
-
2022
- 2022-12-20 CN CN202211636338.7A patent/CN116315294A/en active Pending
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117310507A (en) * | 2023-11-29 | 2023-12-29 | 上海泰矽微电子有限公司 | Charging cut-off current estimation method, device, equipment and medium |
CN117310507B (en) * | 2023-11-29 | 2024-03-29 | 上海泰矽微电子有限公司 | Charging cut-off current estimation method, device, equipment and medium |
CN117648899A (en) * | 2024-01-29 | 2024-03-05 | 浙江地芯引力科技有限公司 | Battery modeling method, device, electronic equipment and storage medium |
CN117648899B (en) * | 2024-01-29 | 2024-05-03 | 浙江地芯引力科技有限公司 | Battery modeling method, device, electronic equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109586373B (en) | Battery charging method and device | |
Guo et al. | A novel echelon internal heating strategy of cold batteries for all-climate electric vehicles application | |
Liu et al. | The effect of cell-to-cell variations and thermal gradients on the performance and degradation of lithium-ion battery packs | |
Hosseinzadeh et al. | A systematic approach for electrochemical-thermal modelling of a large format lithium-ion battery for electric vehicle application | |
Lei et al. | Preheating method of lithium-ion batteries in an electric vehicle | |
Zhao et al. | A comprehensive study on Li-ion battery nail penetrations and the possible solutions | |
CN116315294A (en) | Self-heating method of power battery and battery management system | |
US20210013731A1 (en) | Charging Apparatus And Method Of Secondary Battery | |
CN106291378B (en) | A kind of measuring method of electric automobile power battery SOH | |
Panchal et al. | Design and simulation of a lithium-ion battery at large C-rates and varying boundary conditions through heat flux distributions | |
Chen et al. | Accurate determination of battery discharge characteristics–A comparison between two battery temperature control methods | |
CN109596993B (en) | Method for detecting charge state of lithium ion battery | |
CN112582710B (en) | Lithium ion battery self-heating method, lithium ion battery and electric vehicle | |
CN112151914B (en) | Alternating-current heating method and device for power battery and electric vehicle | |
Guo et al. | DC-AC hybrid rapid heating method for lithium-ion batteries at high state of charge operated from low temperatures | |
Xiong et al. | Fast self-heating battery with anti-aging awareness for freezing climates application | |
WO2019230131A1 (en) | Charge control device, transport device, and program | |
CN113815494A (en) | Preheating charging control method of lithium ion battery | |
Liu et al. | State‐of‐Power Estimation of Li‐Ion Batteries Considering the Battery Surface Temperature | |
Liu et al. | Experimental study on lithium-ion cell characteristics at different discharge rates | |
CN113552494B (en) | Low-temperature step charging method and testing method for lithium ion battery | |
CN113484783B (en) | Battery SOH detection method, device, system, medium and program product | |
CN104977534A (en) | Method for estimating state-of-health of battery and device thereof | |
CN116754981B (en) | Battery capacity prediction method and device, electronic equipment and storage medium | |
CN111044909B (en) | Battery state prediction method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |