CN111624493B - Method and device for determining state of health (SOH) of battery and detection equipment - Google Patents
Method and device for determining state of health (SOH) of battery and detection equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device and detection equipment for determining the state of health (SOH) of a battery, wherein the method comprises the following steps: acquiring the current specific heat capacity of a target battery in a preset charge state through a specific heat capacity detection device; and obtaining the current state of health (SOH) of the target battery according to the current specific heat capacity and a pre-obtained correlation model function related to the SOH and the specific heat capacity of the battery, wherein the correlation model function corresponds to the type of the target battery. According to the scheme provided by the invention, the current specific heat capacity of the target battery is obtained through the specific heat capacity detection device and substituted into the correlation model function for operation to obtain the SOH of the current battery state of health, the limitation caused by an electrical calibration method and the influence caused by test temperature and charge and discharge current are avoided in the process, the accuracy of the detection result is high, and the process of detecting the same type of battery is simple on the premise of obtaining the correlation model function, so that the detection efficiency is improved.
Description
Technical Field
The present invention relates to battery detection, and more particularly, to a method, an apparatus, and a detection device for determining a state of health (SOH) of a battery.
Background
With the rapid increase of the holding capacity of the pure electric vehicle, a large number of degraded and aged power lithium ion batteries are generated in the future, and the detection and evaluation of the State of Health (SOH) of the degraded and aged batteries have very important significance for the gradient utilization of the batteries retired from service on the electric vehicle in the future.
At present, the evaluation and detection of the state of health SOH of the battery are determined by calibrating the actual capacity and characterizing the electrical performance by depending on empirical and theoretical models. The traditional method generally needs electrical test, wherein the SOH of the battery needs to be determined by calibrating the actual charging and discharging capacity of the battery during the electrical test, the SOH is greatly influenced by the test temperature and the charging and discharging current, and the test is complicated.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a method, an apparatus, and a detection device for determining a state of health SOH of a battery, so as to solve the problems that the test is complicated and is easily affected by a test temperature and a charge and discharge current when the state of health SOH of the battery is detected and evaluated.
To solve the above technical problem, an embodiment of the present invention provides a method for determining a state of health (SOH) of a battery, including:
acquiring the current specific heat capacity of a target battery in a preset charge state through a specific heat capacity detection device;
and obtaining the current state of health (SOH) of the target battery according to the current specific heat capacity and a pre-obtained correlation model function related to the SOH and the specific heat capacity of the battery, wherein the correlation model function corresponds to the type of the target battery.
In particular, according to the method for determining the state of health SOH of a battery as described above, the correlation model function includes:
SOH＝A+B1Cp+B1Cp2+B1Cp3
wherein SOH is the state of health of the battery;
cp is the specific heat capacity;
a is a characteristic parameter related to the material system and the manufacturing process of the battery;
B1a first battery aging parameter related to a first order specific heat capacity;
B2a second battery aging parameter related to a second order specific heat capacity;
B3a third battery aging parameter related to the specific heat capacity of the third order;
the characteristic parameters, the first battery aging parameters, the second battery aging parameters and the third battery aging parameters are obtained by calibrating a test battery with the same type as the target battery.
Specifically, the method for determining state of health SOH of a battery as described above, before the step of acquiring a current specific heat capacity of the target battery at a preset state of charge by the specific heat capacity detection means, further includes:
the method comprises the steps of obtaining the initial capacity of a test battery in an initial stage and the initial specific heat capacity of the test battery in a preset charge state, wherein in the initial stage, the number of times of charge and discharge processes of the test battery is smaller than a first preset number of times;
the method comprises the steps of obtaining the test capacity of a test battery after each cycle phase and the test specific heat capacity of the test battery in a preset charge state when the test battery is subjected to a cycle phase of a calibration test at a preset temperature, wherein the calibration test comprises a preset number of cycle phases, and the test battery is subjected to a second preset number of charging and discharging processes in each cycle phase;
obtaining the SOH of the test battery corresponding to the specific heat capacity of the test in each cycle stage according to the initial capacity, the test capacity and a first preset algorithm;
and performing polynomial fitting on the correlation model function according to the SOH and the specific heat capacity of the test battery at each cycle stage to obtain a preselected correlation model function.
Further, the method for determining the state of health SOH of the battery as described above, after the step of performing polynomial fitting on the correlation model function according to the test state of health SOH and the test specific heat capacity of the battery at each cycle stage to obtain the preselected correlation model function, further includes:
obtaining the verification capacity of the test battery after a verification cycle stage and the verification specific heat capacity of the test battery in a preset state of charge, wherein the cycle number of the verification cycle stage is a second preset number;
obtaining a first verification battery state of health (SOH) according to the verification capacity, the initial capacity and a first preset algorithm, and obtaining a second verification battery state of health (SOH) according to the verification specific heat capacity and a preselected correlation model function;
acquiring an error between the second verification battery state of health SOH and the first verification battery state of health SOH;
and when the error is within a preset range, determining the preselected correlation model function as a valid correlation model function.
Preferably, the method for determining state of health SOH of a battery as described above, the specific heat capacity detection means for obtaining the specific heat capacity of the battery at a preset state of charge comprises: an adiabatic acceleration calorimeter, wherein the step of obtaining the specific heat capacity by the adiabatic acceleration calorimeter comprises:
acquiring the mass of a battery in a preset charge state and data information in an adiabatic acceleration calorimeter;
and obtaining the specific heat capacity according to the quality, the data information and a third preset algorithm.
Specifically, in the method for determining the state of health SOH of the battery as described above, the third preset algorithm is:
mCp＝P/(dT/dt)
wherein m is mass;
cp is the specific heat capacity;
p is the heating power of the adiabatic acceleration calorimeter in the data information;
dT/dtthe rate at which the adiabatic acceleration calorimeter heats the battery to a preset temperature in the data message.
Another preferred embodiment of the present invention also provides an apparatus for determining a state of health SOH of a battery, including:
the first acquisition module is used for acquiring the current specific heat capacity of the target battery in a preset charge state through the specific heat capacity detection device;
the first processing module is used for obtaining the current state of health (SOH) of the target battery according to the current specific heat capacity and a pre-obtained correlation model function related to the SOH and the specific heat capacity of the battery, wherein the correlation model function corresponds to the type of the target battery.
Specifically, the apparatus for determining the state of health SOH of a battery as described above further includes:
the second acquisition module is used for acquiring the initial capacity of the test battery in the initial stage and the initial specific heat capacity of the test battery in a preset charge state, wherein the number of times of charge and discharge processes of the test battery in the initial stage is less than the first preset number of times;
the third acquisition module is used for acquiring the test capacity of the test battery after each cycle phase and the test specific heat capacity of the test battery in a preset charge state when the test battery is subjected to the cycle phase of a calibration test at a preset temperature, wherein the calibration test comprises a preset number of cycle phases, and the test battery is subjected to a second preset number of charging and discharging processes in each cycle phase;
the second processing module is used for obtaining the SOH of the test battery corresponding to the test specific heat capacity in each cycle stage according to the initial capacity, the test capacity and a first preset algorithm;
and the third processing module is used for carrying out polynomial fitting on the correlation model function according to the SOH and the specific heat capacity of the test battery at each cycle stage to obtain a preselected correlation model function.
Further, the apparatus for determining state of health SOH of a battery as described above further includes:
the fourth acquisition module is used for acquiring the verification capacity of the test battery after a verification cycle stage and the verification specific heat capacity of the test battery in a preset state of charge, and the cycle number of the verification cycle stage is a second preset number;
the fourth processing module is used for obtaining a first verification battery state of health (SOH) according to the verification capacity, the initial capacity and a first preset algorithm and obtaining a second verification battery state of health (SOH) according to the verification specific heat capacity and a preselected correlation model function;
the fifth processing module is used for acquiring an error between the second verification battery state of health SOH and the first verification battery state of health SOH;
and the determining module is used for determining the preselected correlation model function as an effective correlation model function when the error is within a preset range.
Specifically, the apparatus for determining state of health SOH of a battery as described above, when the specific heat capacity detection means is an adiabatic acceleration calorimeter, the first acquisition module includes:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring the mass of a battery in a preset charge state and data information in an adiabatic acceleration calorimeter;
and the processing unit is used for obtaining the specific heat capacity according to the quality, the data information and a third preset algorithm.
Specifically, the apparatus for determining the state of health SOH of a battery as described above further includes:
the second acquisition module is used for acquiring the initial capacity of the test battery in the initial stage and the initial specific heat capacity of the test battery in a preset charge state, wherein the number of times of charge and discharge processes of the test battery in the initial stage is less than the first preset number of times;
the third acquisition module is used for acquiring the test capacity of the test battery after each cycle phase and the test specific heat capacity of the test battery in a preset charge state when the test battery is subjected to the cycle phase of a calibration test at a preset temperature, wherein the calibration test comprises a preset number of cycle phases, and the test battery is subjected to a second preset number of charging and discharging processes in each cycle phase;
the second processing module is used for obtaining the SOH of the test battery corresponding to the test specific heat capacity in each cycle stage according to the initial capacity, the test capacity and a first preset algorithm;
and the third processing module is used for carrying out polynomial fitting on the correlation model function according to the SOH and the specific heat capacity of the test battery at each cycle stage to obtain a preselected correlation model function.
Further, the apparatus for determining state of health SOH of a battery as described above further includes:
the fourth acquisition module is used for acquiring the verification capacity of the test battery after a verification cycle stage and the verification specific heat capacity of the test battery in a preset state of charge, and the cycle number of the verification cycle stage is a second preset number;
the fourth processing module is used for obtaining a first verification battery state of health (SOH) according to the verification capacity, the initial capacity and a first preset algorithm and obtaining a second verification battery state of health (SOH) according to the verification specific heat capacity and a preselected correlation model function;
the fifth processing module is used for acquiring an error between the second verification battery state of health SOH and the first verification battery state of health SOH;
and the determining module is used for determining the preselected correlation model function as an effective correlation model function when the error is within a preset range.
Still another preferred embodiment of the present invention also provides a detection apparatus that determines a state of health SOH of a battery, including: the apparatus for determining the state of health SOH of a battery as described above.
Compared with the prior art, the method, the device and the detection equipment for determining the state of health (SOH) of the battery provided by the embodiment of the invention at least have the following beneficial effects:
the current specific heat capacity of the target battery is obtained through the specific heat capacity detection device, the current specific heat capacity is substituted into the pre-obtained correlation model function for operation, the current battery health state SOH of the target battery is obtained, in the process, the specific heat capacity of the battery is the inherent physical thermal characteristic parameter of the battery, when the specific heat capacity of the battery is detected through the specific heat capacity detection device, the processes of charging and discharging and the like of the battery cannot be carried out, the limitation of an electrical calibration method is avoided, the influence of test temperature and charging and discharging current is avoided, the detection accuracy is high, on the premise that the correlation model function is obtained in advance, the detection process of the same type of battery is simple, and the detection efficiency is improved.
Drawings
FIG. 1 is a schematic flow chart of a method for determining state of health (SOH) of a battery according to the present invention;
FIG. 2 is a second schematic flow chart of the method for determining the state of health SOH of the battery according to the present invention;
FIG. 3 is a third schematic flow chart of a method for determining the state of health (SOH) of a battery according to the present invention;
FIG. 4 is a fourth flowchart illustrating a method for determining the state of health (SOH) of a battery according to the present invention;
fig. 5 is a schematic structural diagram of the apparatus for determining the state of health SOH of a battery according to the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help the full understanding of the embodiments of the present invention. Thus, it will be apparent to those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.
Referring to fig. 1, a preferred embodiment of the present invention provides a method of determining a state of health, SOH, of a battery, comprising:
step S101, acquiring the current specific heat capacity of a target battery in a preset charge state through a specific heat capacity detection device;
step S102, obtaining the current state of health (SOH) of the target battery according to the current specific heat capacity and a pre-obtained correlation model function related to the SOH and the specific heat capacity of the battery, wherein the correlation model function corresponds to the type of the target battery.
In the embodiment of the invention, the current specific heat capacity of the target battery is obtained through the specific heat capacity detection device, and the current specific heat capacity is substituted into the pre-obtained correlation model function for operation to obtain the current battery health state SOH of the target battery. In order to avoid the influence of different states of charge of the battery on the test result, the state of charge of the battery is limited when the specific heat capacity of the battery is obtained, 50% of the states of charge are preferably used as the preset states of charge, and a person skilled in the art selects any state of charge as the preset state of charge according to actual conditions, so that the protection scope of the invention also belongs to the protection scope of the invention.
Preferably, in the method of determining state of health, SOH, of a battery as described above, the correlation model function comprises:
SOH＝A+B1Cp+B1Cp2+B1Cp3
wherein SOH is the state of health of the battery;
cp is the specific heat capacity;
a is a characteristic parameter related to the material system and the manufacturing process of the battery;
B1a first battery aging parameter related to a first order specific heat capacity;
B2a second battery aging parameter related to a second order specific heat capacity;
B3a third battery aging parameter related to the specific heat capacity of the third order;
the characteristic parameters, the first battery aging parameters, the second battery aging parameters and the third battery aging parameters are obtained by calibrating a test battery with the same type as the target battery.
In the embodiment of the invention, the correlation model function is preferably set as a third-order polynomial function, so that the operation process is as simple and convenient as possible on the premise of ensuring the accuracy of the test result, and the test efficiency of the whole test process is further improved. Alternatively, a person skilled in the art sets the correlation model function to be a polynomial function greater than third order for improving accuracy on the basis of a polynomial function of third order also belongs to the protection scope of the present invention.
Referring to fig. 2, in particular, the method for determining the state of health SOH of the battery as described above, before the step of acquiring the current specific heat capacity of the target battery at the preset state of charge by the specific heat capacity detection means, the method further includes:
step S201, acquiring initial capacity of a test battery in an initial stage and initial specific heat capacity of the test battery in a preset state of charge, wherein in the initial stage, the number of times of charge and discharge processes of the test battery is less than a first preset number of times;
step S202, acquiring the test capacity of the test battery after each cycle phase and the test specific heat capacity of the test battery in a preset charge state when the test battery is subjected to the cycle phase of a calibration test at a preset temperature, wherein the calibration test comprises a preset number of cycle phases, and each cycle phase is subjected to a second preset number of charging and discharging processes;
step S203, obtaining a test battery state of health (SOH) corresponding to the test specific heat capacity in each cycle stage according to the initial capacity, the test capacity and a first preset algorithm;
and S204, performing polynomial fitting on the correlation model function according to the SOH and the specific heat capacity of the test battery in each cycle stage to obtain a preselected correlation model function.
In embodiments of the present invention, in obtaining the correlation model function for one battery type, a battery of that battery type needs to be tested. In the test process, firstly, the initial capacity and the initial specific heat capacity of the test battery are obtained at the initial stage of the test battery, wherein the initial capacity is convenient for obtaining the SOH of the test battery at each test stage subsequently, and the initial specific heat capacity is convenient for comparison, wherein the initial stage refers to that the charging and discharging times of the test battery for testing are less than a first preset time, and preferably the first preset time is 100 times. And then, carrying out a preset number of cycle stages on the test battery at a preset temperature, and carrying out a second preset number of charge-discharge processes on each cycle stage, so as to simulate the charge-discharge processes of the test battery in the actual use process, and obtain the test capacity of the test battery after each cycle stage and the test specific heat capacity in a preset charge state. Because the SOH of the test battery is the ratio of the test capacity to the initial capacity, the SOH of the test battery corresponding to each test stage is obtained according to a first preset algorithm; and finally, performing polynomial fitting on the correlation model function by the SOH and the specific heat capacity of the test battery in each cycle stage to obtain a preselected correlation model function. Preferably, the number of the cycle phases is at least 5, the second preset number of times of each cycle phase is at least 300, the specific setting of the number of times is only one preferred embodiment of the present invention, and a person skilled in the art may make corresponding modifications according to the actual situations such as the type of the battery, etc., and also fall within the protection scope of the present invention.
Referring to fig. 3, further, the method for determining the state of health SOH of the battery as described above, after the step of performing polynomial fitting on the correlation model function according to the test state of health SOH of the battery and the test specific heat capacity at each cycle stage to obtain the preselected correlation model function, further comprises:
step S301, obtaining the verification capacity of the test battery after a verification cycle stage and the verification specific heat capacity of the test battery in a preset state of charge, wherein the cycle number of the verification cycle stage is a second preset number;
step S302, obtaining a first state of health SOH of the verification battery according to the verification capacity, the initial capacity and a first preset algorithm, and obtaining a second state of health SOH of the verification battery according to the verification specific heat capacity and a preselected correlation model function;
step S303, acquiring an error between the second verification battery state of health SOH and the first verification battery state of health SOH;
step S304, when the error is within a preset range, determining the preselected correlation model function as an effective correlation model function.
In the embodiment of the present invention, after obtaining the preselected correlation model function, in order to ensure the accuracy of the preselected correlation model function, the obtained preselected correlation model function is also verified, and the verification process is as follows: performing a charge-discharge process of a cycle stage on the battery to be tested as a verification cycle stage, and detecting the verification capacity of the test battery and the verification specific heat capacity of the test battery in a preset charge state after the verification cycle stage is finished; then, obtaining a first verification battery state of health (SOH) according to the verification capacity, the initial capacity and a first preset algorithm, and obtaining a second verification battery state of health (SOH) according to the verification specific heat capacity and a preselected correlation model function; and judging errors of the first verification battery state of health SOH and the second verification battery state of health SOH, and if the errors are within a preset range, considering that the accuracy of the preselected correlation model function reaches a standard, and using the preselected correlation model function as an effective correlation model function for detecting the battery of the battery type.
Preferably, the associated model function for each battery type may be stored in a storage device, and when the state of health SOH of a battery of a certain battery type needs to be detected, the corresponding associated model function is called from the storage device.
Referring to fig. 4, preferably, the method for determining state of health SOH of a battery as described above, the specific heat capacity detection means for obtaining the specific heat capacity of the battery at a preset state of charge includes: an adiabatic acceleration calorimeter, wherein the step of obtaining the specific heat capacity by the adiabatic acceleration calorimeter comprises:
step S401, acquiring the mass of a battery in a preset charge state and data information in an adiabatic acceleration calorimeter;
and S402, obtaining specific heat capacity according to the quality, the data information and a third preset algorithm.
Specifically, in the method for determining the state of health SOH of the battery as described above, the third preset algorithm is:
mCp＝P/(dT/dt)
wherein m is mass;
cp is the specific heat capacity;
p is the heating power of the adiabatic acceleration calorimeter in the data information;
dT/dtthe rate at which the adiabatic acceleration calorimeter heats the battery to a preset temperature in the data message.
In the embodiment of the present invention, if the specific heat capacity detection device for acquiring the specific heat capacity of the battery is an adiabatic acceleration calorimeter, due to the inherent characteristics of the adiabatic acceleration calorimeter, the mass of the battery in the preset state of charge needs to be acquired when the specific heat capacity of the battery is acquired, and the product of the mass of the battery and the specific heat capacity is acquired according to the heating power, the temperature difference, the heating time and the like in the data information of the battery, so as to acquire the specific heat capacity. As described above, in both the detection stage and the test stage, when the specific heat capacity of the battery is obtained using the adiabatic acceleration calorimeter, the mass of the battery in the corresponding state needs to be obtained. Meanwhile, when the specific heat capacity of the battery is obtained by using the specific heat capacity detection device, parameters of the battery in corresponding states, including but not limited to the mass of the battery, need to be obtained.
Referring to fig. 5, another preferred embodiment of the present invention also provides an apparatus for determining a state of health SOH of a battery, including:
the first obtaining module 501 is configured to obtain a current specific heat capacity of a target battery in a preset state of charge through a specific heat capacity detection device;
the first processing module 502 is configured to obtain a current state of health SOH of the target battery according to the current specific heat capacity and a pre-obtained correlation model function regarding the state of health SOH of the battery and the specific heat capacity of the battery, where the correlation model function corresponds to a type of the target battery.
Specifically, the apparatus for determining the state of health SOH of a battery as described above further includes:
a second obtaining module 503, configured to obtain an initial capacity of the test battery at an initial stage and an initial specific heat capacity of the test battery at a preset state of charge, where, at the initial stage, the number of times of a charge and discharge process performed by the test battery is less than a first preset number of times;
a third obtaining module 504, configured to obtain a test capacity of the test battery after each cycle phase and a test specific heat capacity of the test battery in a preset state of charge when the test battery is in the cycle phase of a calibration test at a preset temperature, where the calibration test includes a preset number of cycle phases, and each cycle phase includes a second preset number of charging and discharging processes of the test battery;
the second processing module 505 is configured to obtain a state of health (SOH) of the test battery corresponding to the test specific heat capacity at each cycle stage according to the initial capacity, the test capacity, and a first preset algorithm;
and a third processing module 506, configured to perform polynomial fitting on the correlation model function according to the test state of health SOH and the test specific heat capacity of the battery at each cycle stage to obtain a preselected correlation model function.
Further, the apparatus for determining state of health SOH of a battery as described above further includes:
a fourth obtaining module 507, configured to obtain a verification capacity after the test battery is subjected to a verification cycle stage, and a verification specific heat capacity of the test battery when the test battery is in a preset state of charge, where the cycle number of the verification cycle stage is a second preset number;
the fourth processing module 508 is configured to obtain a first verified battery state of health SOH according to the verified capacity, the initial capacity, and a first preset algorithm, and obtain a second verified battery state of health SOH according to the verified specific heat capacity and a preselected association model function;
a fifth processing module 509, configured to obtain an error between the second verified battery state of health SOH and the first verified battery state of health SOH;
a determining module 510, configured to determine the preselected correlation model function as a valid correlation model function when the error is within a preset range.
Optionally, all the modules for testing the experimental battery to obtain the valid correlation model function may not be set in actual operation, and the first obtaining module directly obtains the required correlation model function from the storage device in which the correlation model function is stored.
Specifically, as the means for determining the state of health SOH of the battery described above, when the specific heat capacity detection means is an adiabatic acceleration calorimeter, the first acquisition module 501 includes:
the acquiring unit 5011 is used for acquiring the mass of the battery in a preset state of charge and data information in the adiabatic acceleration calorimeter;
the processing unit 5012 obtains the specific heat capacity according to the quality, the data information and a third preset algorithm.
The device embodiment of the invention is a device corresponding to the method embodiment, and all implementation means in the method embodiment are applicable to the device embodiment and can achieve the same technical effects.
Still another preferred embodiment of the present invention also provides a detection apparatus that determines a state of health SOH of a battery, including: the apparatus for determining the state of health SOH of a battery as described above.
The detection device for determining the state of health (SOH) of the battery provided by the embodiment of the invention comprises: according to the device for determining the SOH of the battery, when the SOH of the battery is detected, the specific heat capacity of the battery is obtained through the specific heat capacity detection device, and the SOH of the battery is determined according to the correlation model function obtained or stored in advance. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A method of determining state of health, SOH, of a battery, comprising:
acquiring the current specific heat capacity of a target battery in a preset charge state through a specific heat capacity detection device;
obtaining the current state of health (SOH) of the target battery according to the current specific heat capacity and a pre-obtained correlation model function about the SOH and the specific heat capacity of the battery, wherein the correlation model function corresponds to the type of the target battery;
the correlation model function includes:
SOH＝A+B1Cp+B1Cp2+B1Cp3
wherein SOH is the state of health of the battery;
cp is the specific heat capacity;
a is a characteristic parameter related to the material system and the manufacturing process of the battery;
B1a first battery aging parameter related to a first order specific heat capacity;
B2a second battery aging parameter related to a second order specific heat capacity;
B3a third battery aging parameter related to the specific heat capacity of the third order;
the characteristic parameter, the first battery aging parameter, the second battery aging parameter and the third battery aging parameter are obtained by calibrating a test battery with the same type as the target battery.
2. The method of determining state of health, SOH, of a battery as claimed in claim 1 wherein prior to the step of obtaining the current specific heat capacity of the target battery at the preset state of charge by the specific heat capacity detection means, the method further comprises:
acquiring the initial capacity of the test battery in an initial stage and the initial specific heat capacity of the test battery in the preset state of charge, wherein the number of times of charge and discharge processes of the test battery in the initial stage is less than a first preset number of times;
acquiring the test capacity of the test battery after each cycle phase and the test specific heat capacity of the test battery in the preset state of charge when the test battery is subjected to the cycle phases of a calibration test at a preset temperature, wherein the calibration test comprises a preset number of the cycle phases, and the test battery is subjected to a second preset number of charging and discharging processes in each cycle phase;
obtaining a test battery state of health (SOH) corresponding to the test specific heat capacity in each cycle stage according to the initial capacity, the test capacity and a first preset algorithm;
and performing polynomial fitting on the correlation model function according to the SOH and the test specific heat capacity of the test battery in each cycle stage to obtain a preselected correlation model function.
3. The method of determining state of health, SOH, of a battery as set forth in claim 2 further comprising, after the step of polynomial fitting the correlation model function to obtain a preselected correlation model function based on the test state of health, SOH, and the test specific heat capacity of each cycle phase:
obtaining the verification capacity of the test battery after a verification cycle stage and the verification specific heat capacity of the test battery in the preset state of charge, wherein the cycle number of the verification cycle stage is the second preset number;
obtaining a first verification battery state of health (SOH) according to the verification capacity, the initial capacity and the first preset algorithm, and obtaining a second verification battery state of health (SOH) according to the verification specific heat capacity and the preselected correlation model function;
acquiring an error between the second verification battery state of health SOH and the first verification battery state of health SOH;
and when the error is within a preset range, determining the preselected correlation model function as the effective correlation model function.
4. The method of determining state of health, SOH, of a battery according to any of claims 1-3, wherein said specific heat capacity detection means for obtaining specific heat capacity of the battery at said preset state of charge comprises: an adiabatic acceleration calorimeter, wherein the step of obtaining the specific heat capacity by the adiabatic acceleration calorimeter comprises:
acquiring the mass of the battery in the preset charge state and data information in the adiabatic acceleration calorimeter;
and obtaining the specific heat capacity according to the quality, the data information and a third preset algorithm.
5. The method of determining the state of health, SOH, of a battery according to claim 4, wherein the third predetermined algorithm is:
mCp＝P/(dT/dt)
wherein m is the mass;
cp is the specific heat capacity;
p is the heating power of the adiabatic acceleration calorimeter in the data information;
dT/dtthe rate at which the adiabatic acceleration calorimeter heats the battery to the preset temperature in the data information.
6. An apparatus for determining state of health, SOH, of a battery, comprising:
the first acquisition module is used for acquiring the current specific heat capacity of the target battery in a preset charge state through the specific heat capacity detection device;
the first processing module is used for obtaining the current state of health (SOH) of the target battery according to the current specific heat capacity and a pre-obtained correlation model function related to the SOH and the specific heat capacity of the battery, wherein the correlation model function corresponds to the type of the target battery;
the correlation model function includes:
SOH＝A+B1Cp+B1Cp2+B1Cp3
wherein SOH is the state of health of the battery;
cp is the specific heat capacity;
a is a characteristic parameter related to the material system and the manufacturing process of the battery;
B1a first battery aging parameter related to a first order specific heat capacity;
B2a second battery aging parameter related to a second order specific heat capacity;
B3a third battery aging parameter related to the specific heat capacity of the third order;
the characteristic parameter, the first battery aging parameter, the second battery aging parameter and the third battery aging parameter are obtained by calibrating a test battery with the same type as the target battery.
7. The apparatus according to claim 6, wherein when the specific heat capacity detection means is an adiabatic acceleration calorimeter, the first acquisition module includes:
the acquisition unit is used for acquiring the mass of the battery in the preset charge state and data information in the adiabatic acceleration calorimeter;
and the processing unit is used for obtaining the specific heat capacity according to the quality, the data information and a third preset algorithm.
8. A detection apparatus that determines a state of health, SOH, of a battery, comprising: the apparatus for determining state of health, SOH, of a battery according to any one of claims 6 or 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102021213911A1 (en) * | 2020-12-18 | 2022-06-23 | Continental Automotive Gmbh | Procedure for determining the thermal capacity of a battery |
| CN112528520B (en) * | 2020-12-28 | 2022-08-05 | 上海电气国轩新能源科技有限公司 | Method and device for predicting cycle number of lithium battery and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102010038646A1 (en) * | 2010-07-29 | 2012-02-02 | Robert Bosch Gmbh | Method and device for estimating the performance of at least one battery unit of a rechargeable battery |
| CN103728570A (en) * | 2014-01-15 | 2014-04-16 | 国家电网公司 | Battery-thermal-characteristic-based health state detection method |
| CN105346405A (en) * | 2015-10-27 | 2016-02-24 | 北京新能源汽车股份有限公司 | Electric automobile and battery pack monitoring system thereof |
| CN105806884A (en) * | 2014-12-31 | 2016-07-27 | 中山天贸电池有限公司 | Lithium ion battery specific heat capacity determination method |
| CN105954680A (en) * | 2016-05-03 | 2016-09-21 | 北京新能源汽车股份有限公司 | Device and method for testing heat generation power of power battery |
| CN106855610A (en) * | 2016-12-30 | 2017-06-16 | 中国电力科学研究院 | Lithium titanate battery health status estimating system and method |
| CN108169679A (en) * | 2017-11-30 | 2018-06-15 | 中车工业研究院有限公司 | Battery specific heat capacity detection method and system |
| CN108333528A (en) * | 2018-02-07 | 2018-07-27 | 重庆大学 | SOC and SOT united state methods of estimation based on power battery electric-thermal coupling model |
| CN108646186A (en) * | 2018-04-19 | 2018-10-12 | 浙江大学城市学院 | A kind of monomer lithium ion battery three-dimensional thermal model based on electrochemical characteristic |
-
2019
- 2019-02-28 CN CN201910153169.3A patent/CN111624493B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102010038646A1 (en) * | 2010-07-29 | 2012-02-02 | Robert Bosch Gmbh | Method and device for estimating the performance of at least one battery unit of a rechargeable battery |
| CN103728570A (en) * | 2014-01-15 | 2014-04-16 | 国家电网公司 | Battery-thermal-characteristic-based health state detection method |
| CN105806884A (en) * | 2014-12-31 | 2016-07-27 | 中山天贸电池有限公司 | Lithium ion battery specific heat capacity determination method |
| CN105346405A (en) * | 2015-10-27 | 2016-02-24 | 北京新能源汽车股份有限公司 | Electric automobile and battery pack monitoring system thereof |
| CN105954680A (en) * | 2016-05-03 | 2016-09-21 | 北京新能源汽车股份有限公司 | Device and method for testing heat generation power of power battery |
| CN106855610A (en) * | 2016-12-30 | 2017-06-16 | 中国电力科学研究院 | Lithium titanate battery health status estimating system and method |
| CN108169679A (en) * | 2017-11-30 | 2018-06-15 | 中车工业研究院有限公司 | Battery specific heat capacity detection method and system |
| CN108333528A (en) * | 2018-02-07 | 2018-07-27 | 重庆大学 | SOC and SOT united state methods of estimation based on power battery electric-thermal coupling model |
| CN108646186A (en) * | 2018-04-19 | 2018-10-12 | 浙江大学城市学院 | A kind of monomer lithium ion battery three-dimensional thermal model based on electrochemical characteristic |
Non-Patent Citations (4)
| Title |
|---|
| An easy-to-parameterise physics-informed battery model and its application towards lithium-ion battery cell design, diagnosis, and degradation;Yu Merlaa etc.;《Journal of Power Sources》;20180430;66-79 * |
| C95.1-2345-2014 - IEEE Standard for Military Workplaces--Force Health Protection Regarding Personnel Exposure to Electric, Magnetic, and Electromagnetic Fields, 0 Hz to 300 GHz;IEEE;《IEEE》;20140530;1-69 * |
| 不同健康状态等级的储能磷酸铁锂电池熵变系数及放电产热研究;王康康等;《高电压技术》;20170731;2241-2248 * |
| 锂离子动力电池的温升特性分析;李新静等;《材料科学与工程学报》;20141220;908-912 * |
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