CN114628743A - Health state monitoring method, device and system of flow battery - Google Patents
Health state monitoring method, device and system of flow battery Download PDFInfo
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Abstract
The application relates to a health state monitoring method, device and system of a flow battery, and relates to the field of power supply regulation and control. The method comprises the steps of firstly obtaining a first actual curve of the dynamic viscosity and the charge state of a positive liquid storage tank of the redox flow battery to be evaluated and a second actual curve of the dynamic viscosity and the charge state of a negative liquid storage tank, respectively calculating a first similarity percentage of the first actual curve and a first reference curve of the dynamic viscosity and the charge state of the positive liquid storage tank of the unused redox flow battery, and a second similarity percentage of the second actual curve and a second reference curve of the dynamic viscosity and the charge state of the negative liquid storage tank of the unused redox flow battery, and evaluating the health state of the redox flow battery to be evaluated according to technical results. According to the health state monitoring method, the health state is directly analyzed through the electrolyte, the real-time performance and the accuracy are high, the implementation is easy, and the running safety of the flow battery and the power storage station is improved.
Description
Technical Field
The present disclosure relates to the field of power supply regulation and control, and in particular, to a method, an apparatus, and a system for monitoring a health status of a flow battery.
Background
With the continuous construction of new energy, a large-scale battery energy storage technology is developing vigorously, a flow battery is one of the most promising large-scale energy storage technologies which occupy a large share in the current renewable energy power generation, and the problems of battery aging, dendritic crystal growth and the like are caused by the long-term use of the battery. Battery state of health (SOH) is defined as the available capacity of a battery today divided by the rated capacity, and accurate prediction of the state of health of a battery is directly related to the operational safety of charging and discharging of the battery, and even the operational safety of the entire battery system and the storage station. Therefore, the health state of the flow battery needs to be accurately monitored, aged batteries and batteries with problems are found in time, the safe and stable operation of the flow battery is ensured, and the large-scale engineering application of battery energy storage is promoted.
In the related art, the mainstream battery state of health monitoring methods include an impedance spectroscopy measurement method, a data-driven feature extraction method, and a model-driven feature extraction method, but the methods have great problems. The impedance spectrum measuring method utilizes the voltage and current parameters of the external port to calculate the internal resistance of the battery, the monitoring precision of the impedance spectrum measuring method greatly depends on the measuring precision of the voltage and the current, the real-time monitoring can not be realized, and the health state of the battery can only be given after one charge-discharge cycle of the battery is finished; the data-driven feature extraction method depends on a machine learning algorithm, is essentially a black box, and has extremely high requirements on a training data set; the model driving method is to artificially equate the internal chemical parameters of the battery to the electrical parameters, so that the chemical changes cannot be directly reflected, and the monitoring accuracy cannot be guaranteed.
Disclosure of Invention
The embodiment of the application provides a method, a device and a system for monitoring the health state of a flow battery, and aims to solve the problem that the monitoring of the health state of the battery in the related art cannot simultaneously consider accuracy, instantaneity and low implementation difficulty.
In a first aspect, a health status monitoring method for a flow battery is provided, which includes the steps of:
performing a charge-discharge experiment on an unused flow battery to respectively obtain a first reference curve of the dynamic viscosity and the charge state of a positive liquid storage tank and a second reference curve of the dynamic viscosity and the charge state of a negative liquid storage tank;
performing a charge-discharge experiment on the flow battery to be evaluated to respectively obtain a first actual curve of the dynamic viscosity and the charge state of the positive liquid storage tank and a second actual curve of the dynamic viscosity and the charge state of the negative liquid storage tank;
respectively calculating a first similarity percentage of the first actual curve and a first benchmark reference curve and a second similarity percentage of the second actual curve and a second benchmark reference curve;
and evaluating the health state of the flow battery to be evaluated according to the first similarity percentage and the second similarity percentage.
In some embodiments, the calculating a first percentage of similarity of the first actual curve to the first baseline reference curve comprises:
weighting the dynamic viscosity of the electrolyte measured under different charge states in the first actual curve and the first reference curve;
respectively calculating to obtain dynamic viscosity vectors of the first actual curve and the first reference curve after weights are given under different charge states according to the dynamic viscosity after weights are given;
normalizing the dynamic viscosity vector given with the weight, and respectively calculating the Hamming distance of the dynamic viscosity vector after the normalization of the first actual curve and the first reference curve;
and calculating the first similarity percentage according to the Hamming distance.
In some embodiments, a preset number of the kinetic viscosities obtained before the end of the charge-discharge experiment are weighted less than the other kinetic viscosities obtained.
In some embodiments, the weighted kinematic viscosity vectors of the first actual curve and the first reference curve in different states of charge are respectively calculated by using a Hash function according to the weighted kinematic viscosity.
In some embodiments, the evaluating the state of health of the flow battery to be evaluated according to the first similarity percentage and the second similarity percentage includes:
and judging whether the first similarity percentage and the second similarity percentage are both located in a first monitoring area, if so, judging whether the redox flow battery to be evaluated is in a healthy state, if not, judging whether at least one of the first similarity percentage and the second similarity percentage is located in a second monitoring area, if so, judging that the redox flow battery to be evaluated is in a dangerous state, and if not, judging that the redox flow battery to be evaluated is in a state to be observed.
In some embodiments, if the flow battery to be evaluated is in a state to be observed, an early warning signal is generated and sent, and if the flow battery to be evaluated is in a dangerous state, a maintenance signal is generated and sent, and the flow battery to be evaluated is stopped from being charged and discharged.
In some embodiments, the value range of the first monitoring area is 0-13%, and the value range of the second monitoring area is 57-100%.
In a second aspect, a health state monitoring device for a flow battery is provided, which is used for implementing the health state monitoring method, and includes:
the monitoring unit is used for respectively carrying out charge and discharge experiments on the unused flow battery and the flow battery to be evaluated;
the conversion unit is used for acquiring data information of a charging and discharging experiment performed by the monitoring unit, generating a first reference curve of the dynamic viscosity and the charge state of an anode liquid storage tank of the unused flow battery and a second reference curve of the dynamic viscosity and the charge state of a cathode liquid storage tank according to the data information, and also generating a first actual curve of the dynamic viscosity and the charge state of the anode liquid storage tank of the flow battery to be evaluated and a second actual curve of the dynamic viscosity and the charge state of the cathode liquid storage tank;
and the analysis unit is used for respectively calculating a first similarity percentage between the first actual curve and a first reference curve and a second similarity percentage between the second actual curve and a second reference curve, and evaluating the health state of the flow battery to be evaluated according to the first similarity percentage and the second similarity percentage.
In a third aspect, a health status monitoring system for a flow battery is provided, which is used for implementing the health status monitoring method, and includes:
the monitoring device comprises two monitoring assemblies, wherein each monitoring assembly comprises a viscosity testing piece, and the viscosity testing piece is used for at least partially extending into the bottom of a positive liquid storage tank or a negative liquid storage tank so as to perform a charge-discharge experiment on the flow battery;
a monitoring module which is respectively connected with the two viscosity testing pieces and is used for collecting data information of a charge-discharge experiment, and is used for generating a first reference curve of the dynamic viscosity and the state of charge of the positive pole liquid storage tank of the unused flow battery according to the data information, and a second reference curve of the dynamic viscosity and the charge state of the negative liquid storage tank, and is further used for generating a first actual curve of the dynamic viscosity and the charge state of the positive liquid storage tank of the flow battery to be evaluated and a second actual curve of the dynamic viscosity and the charge state of the negative liquid storage tank, and the health state of the flow battery to be evaluated is evaluated according to a first similarity percentage of the first actual curve and a first benchmark reference curve and a second similarity percentage of the second actual curve and a second benchmark reference curve.
In some embodiments, each of the viscosity testing pieces is covered with a protective casing, the protective casing is provided with a plurality of through holes arranged at intervals, and the protective casing is used for extending into the bottom of a positive liquid storage tank or a negative liquid storage tank of the flow battery to be tested.
The beneficial effect that technical scheme that this application provided brought includes:
the embodiment of the application provides a health state monitoring method of a flow battery, which is characterized in that a first actual curve of the dynamic viscosity and the charge state of a positive liquid storage tank and a second actual curve of the dynamic viscosity and the charge state of a negative liquid storage tank which are obtained after a charge-discharge experiment is carried out on the flow battery to be evaluated, a first similarity percentage of the first actual curve and a first reference curve of the dynamic viscosity and the charge state of the positive liquid storage tank of an unused flow battery is calculated, a second similarity percentage of the second actual curve and a second reference curve of the dynamic viscosity and the charge state of the negative liquid storage tank of the unused flow battery is calculated, and finally the health state of the flow battery to be evaluated is evaluated according to the first similarity percentage and the second similarity percentage, so that the health state monitoring method fully utilizes the structure and the functional characteristics of the health state monitoring method, based on electrolyte itself is always in the flow state, directly carries out the analysis to health status through electrolyte, and the real-time and the degree of accuracy are all very high, and processing speed is fast, and easy the implementation is applicable to the information analysis of big data volume, can carry out parameter extraction and control to flow battery's health status in real time, has improved the security of flow battery and power storage station operation.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a state of health monitoring system of a flow battery according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for monitoring a state of health of a flow battery according to an embodiment of the present application.
In the figure: 1-a monitoring component, 10-a viscosity testing piece, 11-a protective shell, 12-a through hole, 13-a circular ring base, 14-a control cable, 2-a monitoring module, 3-a positive pole liquid storage tank and 4-a negative pole liquid storage tank.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a health state monitoring method of a flow battery, which can solve the problem that the monitoring of the health state of the battery in the related technology cannot simultaneously consider accuracy, instantaneity and low implementation difficulty.
Referring to fig. 1 and fig. 2, the method for monitoring the state of health mainly includes performing a charge-discharge experiment on an unused flow battery to obtain a first reference curve of the dynamic viscosity and the state of charge of the positive liquid storage tank 3 and a second reference curve of the dynamic viscosity and the state of charge of the negative liquid storage tank 4, then, a charge-discharge experiment is carried out on the flow battery to be evaluated to respectively obtain a first actual curve of the dynamic viscosity and the charge state of the positive liquid storage tank 3, and a second actual curve of the dynamic viscosity and the charge state of the negative liquid storage tank 4, respectively calculating a first similarity percentage of the first actual curve and the first reference curve, and a second similarity percentage of the second actual curve and the second reference curve, and finally evaluating the health state of the flow battery to be evaluated according to the first similarity percentage and the second similarity percentage.
The health state monitoring method comprises the steps of sequentially obtaining a first actual curve of the dynamic viscosity and the charge state of a positive electrode liquid storage tank 3 and a second actual curve of the dynamic viscosity and the charge state of a negative electrode liquid storage tank 4 of each of the redox flow battery to be evaluated and the unused redox flow battery through charge and discharge experiments respectively, then calculating a first similarity percentage between the first actual curve and a first reference curve and a second similarity percentage between the second actual curve and a second reference curve, and finally evaluating the health state of the redox flow battery to be evaluated according to the first similarity percentage and the second similarity percentage, so that the health state monitoring method fully utilizes the structure and functional characteristics of the health state monitoring method, analyzes the health state directly through the physical and chemical mechanisms of the electrolyte on the basis that the electrolyte is always in a flowing state, the flow battery monitoring system has the advantages of high instantaneity and accuracy, high processing speed, easiness in implementation, suitability for information analysis of large data volume, capability of extracting and monitoring parameters aiming at the health state of the flow battery in real time, and improvement on the running safety of the flow battery and the power storage station.
Further, calculating a first similarity percentage between the first actual curve and the first reference curve, which specifically includes the steps of:
weighting dynamic viscosity of the electrolyte measured under different charge states in the first actual curve and the first reference curve;
respectively calculating to obtain dynamic viscosity vectors of the first actual curve and the first reference curve after weights are given under different charge states according to the dynamic viscosity after the weights are given;
normalizing the dynamic viscosity vector given with the weight, and respectively calculating the Hamming distance of the dynamic viscosity vector after the normalization of the first actual curve and the first reference curve;
and calculating to obtain a first similarity percentage according to the Hamming distance.
Specifically, a plurality of different charge states are selected to respectively monitor the dynamic viscosity of the flow battery, so as to obtain a vector related to the dynamic viscosity, for example, if 10 different charge states are selected, 10 dynamic viscosities are correspondingly obtained, the obtained dynamic viscosity vector is assumed to be [1101000000] after normalization processing, and if the corresponding normalized reference vector is assumed to be [0000000000], then the hamming distance of the dynamic viscosity vector after normalization processing of the first actual curve and the first reference curve is 3 at this time, and finally the hamming distance is divided by the total length of data, so as to obtain a first similarity percentage, where the total length of data refers to the number of elements of the dynamic viscosity vector.
Because the charge state measurement near the discharging and charging ends is not accurate enough, the weight of the dynamic viscosity distribution measured by the part is smaller, and further, the weight given by the preset number of dynamic viscosities acquired before the charging and discharging experiment is finished is smaller than the weight given by other acquired dynamic viscosities, so that the accuracy of the monitoring result is ensured as much as possible.
Further, a Hash function is utilized to respectively calculate dynamic viscosity vectors after weights are given to the first actual curve and the first reference curve under different charge states. Specifically, dynamic viscosity of positive electrolyte and negative electrolyte in different charge states is mapped through a Hash function to generate two binary strings, and dynamic viscosity vectors with weights given by the dynamic viscosity are combined to calculate the dynamic viscosity vectors with the weights given.
Further, the health state of the flow battery to be evaluated is evaluated according to the first similarity percentage and the second similarity percentage, and the method mainly comprises the following steps:
and judging whether the first similarity percentage and the second similarity percentage are both located in the first monitoring area, if so, judging whether the redox flow battery to be evaluated is in a healthy state, otherwise, judging whether at least one of the first similarity percentage and the second similarity percentage is located in the second monitoring area, if so, judging that the redox flow battery to be evaluated is in a dangerous state, and if not, judging that the redox flow battery to be evaluated is in a state to be observed.
Specifically, the value range of the first monitoring area is 0-13%, and if the first similarity percentage and the second similarity percentage are both located in the value range of the first monitoring area, it is indicated that the anode and the cathode of the flow battery are both in a healthy state; the value range of the second monitoring area is 57-100%, if at least one of the first similarity percentage and the second similarity percentage is within the value range of the second monitoring area, it is indicated that the anode or the cathode of the flow battery is in a dangerous state, at this time, it is determined that the whole battery is also in the dangerous state, a maintenance signal is generated and sent correspondingly and immediately, the flow battery to be evaluated is stopped to be charged and discharged, and the flow battery to be evaluated is isolated from other flow batteries; if the first similarity percentage and the second similarity percentage are not in the second monitoring area and one of the first similarity percentage and the second similarity percentage is not in the first monitoring area, the anode or the cathode is in a state to be observed at the moment, and correspondingly, an early warning signal is generated and sent and needs to be continuously paid attention to in the following process.
The application also provides a health state monitoring device of the flow battery, which mainly comprises a monitoring unit, a conversion unit and an analysis unit, wherein the monitoring unit is used for respectively carrying out charging and discharging experiments on the unused flow battery and the flow battery to be evaluated, the conversion unit is used for acquiring data information of the charging and discharging experiments carried out by the monitoring unit, and generating a first reference curve of the dynamic viscosity and the charge state of the positive liquid storage tank 3 of the unused flow battery and a second reference curve of the dynamic viscosity and the charge state of the negative liquid storage tank 4 according to the data information, and also generating a first actual curve of the dynamic viscosity and the charge state of the positive liquid storage tank 3 of the flow battery to be evaluated and a second actual curve of the dynamic viscosity and the charge state of the negative liquid storage tank 4, the analysis unit is used for respectively calculating a first similarity percentage of the first actual viscosity curve and the first reference curve, and the second similarity percentage of the second actual curve and the second reference curve is used for evaluating the health state of the flow battery to be evaluated according to the first similarity percentage and the second similarity percentage.
The function implementation of each unit in the health status monitoring apparatus corresponds to each step in the health status monitoring method, and the function and implementation process thereof are not described in detail herein.
The application also provides a health state monitoring system of the flow battery, which is shown in fig. 1 and comprises two monitoring assemblies 1 and a monitoring module 2, wherein each monitoring assembly 1 comprises a viscosity testing piece 10, and the viscosity testing piece 10 is used for at least partially extending into the bottom of a positive liquid storage tank 3 or a negative liquid storage tank 4 so as to perform a charge and discharge experiment on the flow battery; the monitoring module 2 is respectively connected with the two viscosity testing pieces 10, the monitoring module 2 is used for acquiring data information of a charge-discharge experiment, generating a first reference curve of the dynamic viscosity and the charge state of the anode liquid storage tank 3 of the unused flow battery and a second reference curve of the dynamic viscosity and the charge state of the cathode liquid storage tank 4 according to the data information, generating a first actual curve of the dynamic viscosity and the charge state of the anode liquid storage tank 3 of the flow battery to be evaluated and a second actual curve of the dynamic viscosity and the charge state of the cathode liquid storage tank 4, and evaluating the health state of the flow battery to be evaluated according to a first similarity percentage of the first actual curve and the first reference curve and a second similarity percentage of the second actual curve and the second reference curve.
Furthermore, each viscosity testing piece 10 is covered with a protective casing 11, the protective casing 11 is provided with a plurality of through holes 12 arranged at intervals, and the protective casing 11 is used for extending into the bottom of the anode liquid storage tank 3 or the cathode liquid storage tank 4 of the flow battery to be tested.
Specifically, the protective casing 11 is cylindrical, and a plurality of circular through holes 12 are formed in the protective casing 11, so that the electrolyte can freely and smoothly flow through the viscosity tester, and the measurement accuracy of the dynamic viscosity of the electrolyte is improved; the protective shell 11 is made of a carbon shell material to prevent the electrolyte from reacting with the protective shell 11, and a coating is coated on the outer surface of the protective shell, in some embodiments, the coating can be a super-hydrophobic coating, so that not only can the viscosity tester be prevented from reacting with the electrolyte, but also the electrolyte can be prevented from being hung on the wall and remaining on the surface of the viscosity tester to interfere with dynamic viscosity measurement and normal operation of the flow battery; in addition, the metal parts and the welding positions in the part of the viscosity tester extending into the electrolyte together with the protective shell 11 are chemically passivated, and the surfaces of the metal parts are enabled to generate passive protective films through the plating effect so as to prevent the metal parts from reacting with the electrolyte.
Specifically, the viscosity tester is installed in the bottom of positive liquid storage pot and negative liquid storage pot, fix and support through ring base 13, the result that the viscosity tester surveyed can be transmitted to monitoring module 2 through control cable 14 and carry out the analysis, monitoring module 2's inner bag passes through the preparation of plastics material, form even, fine and close, the good metal coating of cohesion at the shell through the method of electroplating plating, monitoring module 2 whole required metal need not very thick, required cost and the weight of preparation have been reduced, but owing to use plastics inner bag and plating method, still can guarantee very high closure and waterproof nature. Wherein, monitoring module 2 passes through the battery power supply, also can insert the electricity simultaneously and use, and its demand to the electric quantity is not big itself.
Specifically, the monitoring module 2 is internally composed of four sub-units, specifically, an AD conversion unit, an analysis unit, a temporary storage unit and a reference unit, firstly, an electrical signal transmitted through the control cable 14 passes through the AD conversion unit, and is converted into a digital signal, and in order to take account of the data processing speed of the analysis unit, the digital signal firstly enters the temporary storage unit, so as to ensure the order and real-time performance of digital processing; the analysis unit accesses the digital information in the temporary storage unit and analyzes the digital information according to a first reference curve and a second reference curve provided by the reference unit; after the analysis is finished, the analysis result is sent to the central control background and the equalizing circuit in real time by using a 5G wireless communication method so as to process the problematic battery, the data transmission rate is very high, and the great data information quantity can be transmitted.
The function implementation of each structure in the health status monitoring system corresponds to each step in the health status monitoring method, and the remaining functions and implementation processes are not described in detail herein.
In the description of the present application, it should be noted that the terms "upper", "lower", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are only for convenience in describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and operate, and thus, should not be construed as limiting the present application. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It is noted that, in the present application, relational terms such as "first" and "second", and the like, are 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, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A health state monitoring method of a flow battery is characterized by comprising the following steps:
performing a charge-discharge experiment on an unused flow battery to respectively obtain a first reference curve of the dynamic viscosity and the charge state of the positive liquid storage tank (3) and a second reference curve of the dynamic viscosity and the charge state of the negative liquid storage tank (4);
performing a charge-discharge experiment on the flow battery to be evaluated to respectively obtain a first actual curve of the dynamic viscosity and the charge state of the positive liquid storage tank (3) and a second actual curve of the dynamic viscosity and the charge state of the negative liquid storage tank (4);
respectively calculating a first similarity percentage of the first actual curve and a first benchmark reference curve and a second similarity percentage of the second actual curve and a second benchmark reference curve;
and evaluating the health state of the flow battery to be evaluated according to the first similarity percentage and the second similarity percentage.
2. The method for monitoring the state of health of a flow battery as claimed in claim 1, wherein said calculating a first percentage similarity of said first actual curve to a first baseline reference curve comprises:
weighting the dynamic viscosity of the electrolyte measured under different charge states in the first actual curve and the first reference curve;
respectively calculating to obtain dynamic viscosity vectors of the first actual curve and the first reference curve after weights are given under different charge states according to the dynamic viscosity after weights are given;
normalizing the dynamic viscosity vector given with the weight, and respectively calculating the Hamming distance of the dynamic viscosity vector after the normalization of the first actual curve and the first reference curve;
and calculating the first similarity percentage according to the Hamming distance.
3. The health state monitoring method of the flow battery according to claim 2, wherein: and the weight given to the preset number of the dynamic viscosity obtained before the end of the charge-discharge experiment is smaller than the weight given to the other obtained dynamic viscosities.
4. The health state monitoring method of the flow battery according to claim 2, wherein: and respectively calculating to obtain dynamic viscosity vectors endowed with weights under different charge states of the first actual curve and the first reference curve by utilizing a Hash function according to the dynamic viscosity endowed with weights.
5. The method for monitoring the state of health of a flow battery as claimed in claim 1, wherein the step of evaluating the state of health of the flow battery to be evaluated according to the first similarity percentage and the second similarity percentage comprises:
and judging whether the first similarity percentage and the second similarity percentage are both located in a first monitoring area, if so, judging whether the redox flow battery to be evaluated is in a healthy state, if not, judging whether at least one of the first similarity percentage and the second similarity percentage is located in a second monitoring area, if so, judging that the redox flow battery to be evaluated is in a dangerous state, and if not, judging that the redox flow battery to be evaluated is in a state to be observed.
6. The flow battery state of health monitoring method as claimed in claim 5, wherein: and if the redox flow battery to be evaluated is in a state to be observed, generating and sending an early warning signal, and if the redox flow battery to be evaluated is in a dangerous state, generating and sending a maintenance signal, and stopping charging and discharging of the redox flow battery to be evaluated.
7. The flow battery state of health monitoring method as claimed in claim 5, wherein: the value range of the first monitoring area is 0-13%, and the value range of the second monitoring area is 57-100%.
8. A flow battery state of health monitoring apparatus for implementation of the state of health monitoring method according to claim 1, characterized in that it comprises:
the monitoring unit is used for respectively carrying out charge and discharge experiments on the unused flow battery and the flow battery to be evaluated;
the conversion unit is used for acquiring data information of a charging and discharging experiment carried out by the monitoring unit, generating a first reference curve of the dynamic viscosity and the charge state of an anode liquid storage tank (3) of the unused flow battery and a second reference curve of the dynamic viscosity and the charge state of a cathode liquid storage tank (4) according to the data information, and also generating a first actual curve of the dynamic viscosity and the charge state of the anode liquid storage tank (3) of the flow battery to be evaluated and a second actual curve of the dynamic viscosity and the charge state of the cathode liquid storage tank (4);
and the analysis unit is used for respectively calculating a first similarity percentage between the first actual curve and a first reference curve and a second similarity percentage between the second actual curve and a second reference curve, and evaluating the health state of the flow battery to be evaluated according to the first similarity percentage and the second similarity percentage.
9. A health status monitoring system of a flow battery for implementation of the health status monitoring method according to claim 1, characterized by comprising:
the monitoring device comprises two monitoring assemblies (1), wherein each monitoring assembly (1) comprises a viscosity testing piece (10), and the viscosity testing piece (10) is used for at least partially extending into the bottom of a positive liquid storage tank (3) or a negative liquid storage tank (4) so as to carry out a charge-discharge experiment on the flow battery;
the monitoring module (2) is respectively connected with the two viscosity testing pieces (10), the monitoring module (2) is used for collecting data information of a charge-discharge experiment, and is used for generating a first reference curve of the dynamic viscosity and the state of charge of the positive pole liquid storage tank (3) of the unused flow battery according to the data information, and a second reference curve of the dynamic viscosity and the charge state of the negative liquid storage tank (4), and is also used for generating a first actual curve of the dynamic viscosity and the charge state of the positive liquid storage tank (3) of the redox flow battery to be evaluated and a second actual curve of the dynamic viscosity and the charge state of the negative liquid storage tank (4), and the health state of the flow battery to be evaluated is evaluated according to a first similarity percentage of the first actual curve and a first benchmark reference curve and a second similarity percentage of the second actual curve and a second benchmark reference curve.
10. The health state monitoring system of the flow battery as claimed in claim 9, wherein: each all cover on viscosity test piece (10) and be equipped with a protecting sheathing (11), be equipped with through-hole (12) that a plurality of intervals set up on protecting sheathing (11), protecting sheathing (11) are used for stretching into the awaiting measuring the bottom of flow battery's positive pole liquid storage pot (3) or negative pole liquid storage pot (4).
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105637375A (en) * | 2013-05-16 | 2016-06-01 | 海卓瑞道克斯技术控股有限公司 | Estimation of the state of charge of a positive electrolyte solution of a working redox flow battery cell without using any reference electrode |
| CN105929334A (en) * | 2016-04-07 | 2016-09-07 | 华北电力大学（保定） | All-vanadium redox flow battery positive electrolyte state of charge measurement method |
| KR20190085370A (en) * | 2018-01-10 | 2019-07-18 | 한국에너지기술연구원 | Method for real-time monitoring of the electrolyte charge state of the redox flow battery during operation and redox flow battery capable of monitoring the electrolyte charge state in real time during operation |
| KR20200055287A (en) * | 2018-11-13 | 2020-05-21 | 현대자동차주식회사 | Control system and control method of cold start for fuel cell |
| KR20200065861A (en) * | 2018-11-30 | 2020-06-09 | 롯데케미칼 주식회사 | Apparatus for improving performance of redox flow battery using power consumption of pump and method thereof |
| CN112864427A (en) * | 2020-12-31 | 2021-05-28 | 大连融科储能装备有限公司 | Online monitoring device and method based on state of charge of flow battery |
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- 2022-05-12 CN CN202210512809.7A patent/CN114628743B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105637375A (en) * | 2013-05-16 | 2016-06-01 | 海卓瑞道克斯技术控股有限公司 | Estimation of the state of charge of a positive electrolyte solution of a working redox flow battery cell without using any reference electrode |
| CN105929334A (en) * | 2016-04-07 | 2016-09-07 | 华北电力大学（保定） | All-vanadium redox flow battery positive electrolyte state of charge measurement method |
| KR20190085370A (en) * | 2018-01-10 | 2019-07-18 | 한국에너지기술연구원 | Method for real-time monitoring of the electrolyte charge state of the redox flow battery during operation and redox flow battery capable of monitoring the electrolyte charge state in real time during operation |
| KR20200055287A (en) * | 2018-11-13 | 2020-05-21 | 현대자동차주식회사 | Control system and control method of cold start for fuel cell |
| KR20200065861A (en) * | 2018-11-30 | 2020-06-09 | 롯데케미칼 주식회사 | Apparatus for improving performance of redox flow battery using power consumption of pump and method thereof |
| CN112864427A (en) * | 2020-12-31 | 2021-05-28 | 大连融科储能装备有限公司 | Online monitoring device and method based on state of charge of flow battery |
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