CN115267562A - Distributed battery monitoring system based on optical fiber scattering - Google Patents
Distributed battery monitoring system based on optical fiber scattering Download PDFInfo
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- 239000013307 optical fiber Substances 0.000 title claims abstract description 93
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- 230000036541 health Effects 0.000 claims abstract description 16
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- 239000000835 fiber Substances 0.000 claims description 21
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- 230000003287 optical effect Effects 0.000 claims description 12
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- 229920000098 polyolefin Polymers 0.000 claims description 3
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- 229920001155 polypropylene Polymers 0.000 claims description 3
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- 239000002086 nanomaterial Substances 0.000 claims description 2
- 238000004146 energy storage Methods 0.000 abstract description 13
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K11/00—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
- G01K11/32—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- 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
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Abstract
The invention discloses a distributed battery monitoring system based on optical fiber scattering, which comprises an optical fiber demodulation analyzer, a control module and an optical fiber sensor. The invention provides a distributed optical fiber in-situ characterization detection system and a distributed optical fiber in-situ characterization detection method for a battery energy storage system, which can realize real-time multi-physical-field monitoring on each battery monomer in a large-scale energy storage system. The system realizes real-time monitoring of the mechanical performance and the thermal performance of the energy storage system by coherent demodulation of Rayleigh scattering information along the sensing optical fiber without designing a Bragg grating sensing unit in the sensing optical fiber in advance, evaluates the charge state and the health state of the battery by an algorithm and provides failure early warning, ensures the safe operation of the battery energy storage system while realizing high-efficiency utilization of the battery function, and avoids accidents such as thermal runaway and even explosion.
Description
Technical Field
The invention relates to the technical field of battery monitoring, in particular to a distributed battery monitoring system based on optical fiber scattering.
Background
The power and energy storage battery is widely applied to new energy automobiles, wind power/solar energy storage and other national strategy emerging industries, and is an important support for realizing the carbon peak-reaching carbon neutralization target. In recent years, battery safety accidents are in an increasing situation, accurate in-situ test characterization and failure analysis of battery materials are global scientific problems, and therefore, development of a non-invasive monitoring tool is very important for daily tracking and full-life-cycle management of power and energy storage batteries. At present, the microscopic reaction process inside the battery can only be measured by a large-scale analytical instrument, but the equipment is expensive, and the use conditions are very harsh, so that the equipment cannot be applied to the actual environment of the battery. Therefore, there is a strong need to develop in-situ testing techniques suitable for battery-use terminals. The existing battery monitoring and management technology cannot accurately detect, control and early warn each battery cell (cell) in the energy storage system. Most battery fire accidents are caused by single batteries, and the whole battery pack is ignited and even explodes.
At present, a Battery Management System (BMS) estimates a State of Health (SoH) and a State of Charge (SoC) of a battery only through voltage, current, and temperature operations, and a control function thereof is maintained at a module level, so that it is difficult to accurately know the SoC and the SoH of the battery at a cell level and to perform effective control. Meanwhile, the battery SoH evaluation method based on experiments, models and data driving is limited by the influence limitations that the battery SoH evaluation method cannot be used in operation, the accumulated error of a sensor and the calculation load are large.
Due to the design structure and chemical characteristics of the power battery, the risk of thermal runaway exists in the use process of the power battery, and the monitoring of the structure and the temperature of the battery is a key factor for stable operation of an energy storage system. At present, an electrical point type temperature sensor is generally adopted in the industry to detect the temperature state of the battery, and the method is difficult to detect and position each single battery; meanwhile, the current battery system cannot monitor the mechanical state of the battery, resulting in mechanical abuse and even damage to the battery, resulting in thermal runaway. Reversible and irreversible deformation and temperature change of the battery cell are related to internal resistance increase, capacity attenuation and a series of side reactions of the battery, and in order to monitor the temperature, deformation, soC and SoH of each battery cell (cell), a distributed battery system in-situ real-time characterization technology is needed to be designed.
Disclosure of Invention
The invention aims to: in order to solve the problems, a distributed battery monitoring system based on optical fiber scattering is provided.
In order to achieve the purpose, the invention adopts the following technical scheme:
a distributed battery monitoring system based on optical fiber scattering comprises an optical fiber demodulation analyzer, a control module and an optical fiber sensor, wherein the optical fiber demodulation analyzer is connected with the control module and the optical fiber sensor.
Preferably, the optical fiber demodulation analyzer comprises a tunable laser, two optical fiber couplers, a reference optical fiber, an optical detector, a data collector, a signal processing unit, a circulator and an optical splitter, and is configured to collect an original signal of deformation and temperature of a battery in the battery system, send the original signal to the signal processing unit for processing, and send the processed signal to the control module.
Preferably, the control module is used for connecting the battery management system and the optical fiber demodulation analyzer, and controlling the sampling frequency, the frequency sweeping speed, the frequency sweeping range and the photoelectric modulator of the optical fiber demodulation analyzer based on the real-time in-situ battery temperature and strain information, so as to realize the multi-parameter adjustable battery sensing system.
Preferably, the optical fiber sensor consists of a strain optical fiber and a temperature optical fiber, the strain optical fiber consists of a first fiber core and a first cladding, the first fiber core is used for sensing and transmission, the first cladding is used for optical isolation and mechanical protection, and a coating layer can be selectively added and is in a single-mode sensing mode; the temperature optic fibre comprises second fibre core, second cladding and sleeve pipe, and the second fibre core is used for sensing and transmission, and the second cladding is used for optoisolation and mechanical protection, and the alternative increases the coating, and the sleeve pipe is for keeping apart the effect of meeting an emergency, and the alternative increases the coating, and the sleeve pipe can be made by any kind among high fluffy glass fiber, stainless steel, pottery, polyolefin, the polypropylene, for single mode sensing mode.
Preferably, the optical fiber sensors 3 are distributed on the outer surface of the battery core, the positive electrode and the negative electrode, the decompression exhaust area and the joint (at one or more positions) in the battery system, collect the external temperature field and deformation field data of the battery core monomer, evaluate the SoC and SoH of the battery through real-time monitoring of mechanical strain, thermal strain and temperature, and provide failure early warning;
frequency (Δ v) obtained by demodulated strain fiber sensor ε-DFOS ) The change is as follows:
Δv ε-DFOS ＝K T ΔT+K ε ε
wherein, K T Is the temperature compensation coefficient, Δ T is the temperature difference, K ε Is the strain compensation coefficient, ε is the strain value;
frequency (Deltav) obtained by temperature optical fiber sensor after demodulation T-DFOS ) The change is as follows:
Δv T-DFOS ＝K T ΔT
wherein:
Δ T (i) = T (i) -T (B), where T (i) is a real-time temperature and T (B) is a temperature reference value;
ε(i)＝ε r (i) ε (B), wherein ε r (i) The real-time strain is shown, and epsilon (B) is a strain reference value;
ε(i)＝ε M (i)+ε T (i) In which epsilon M (i) For strain induced in real time by mechanical deformation, epsilon M (i) Strain induced by thermal deformation in real time;
SoC (State of Charge) is the battery State of Charge;
SoC(i)＝A·ε M (i) a +B·ε T (i) b +C·ΔT(i) c +P(V(i)，I(i))+W；
wherein SoC (I) is a real-time battery state-of-charge, a is a mechanical deformation reference coefficient, α is a mechanical deformation reference index, B is a thermal deformation reference coefficient, B is a thermal deformation reference index, C is a temperature reference coefficient, C is a temperature reference index, P is a battery state-of-charge reference value related to voltage V and current I, and W is a battery state-of-charge base number;
SoH (State of Health) is the State of Health of the battery;
SoH(i)＝D·ε M (i) d +F·ε T (i) f +G·ΔT(i) g +Q(V(i)，I(i))+V；
the battery state of health is a real-time battery state of health (SOH) (I), D is a mechanical deformation reference coefficient, D is a mechanical deformation reference index, F is a thermal deformation reference coefficient, F is a thermal deformation reference index, G is a temperature reference coefficient, G is a temperature reference index, Q is a battery state of health reference value related to voltage V and current I, and V is a battery state of health base.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
the invention provides a distributed optical fiber in-situ characterization detection system and a distributed optical fiber in-situ characterization detection method for a battery energy storage system, which can realize real-time multi-physical-field monitoring on each battery monomer in a large-scale energy storage system. The system of the invention demodulates the Rayleigh scattering information of the optical fiber through coherent modulation, does not need to design a Bragg grating in the sensing optical fiber in advance, realizes the real-time monitoring of the mechanical performance and the thermal performance of the energy storage system, evaluates the SoC and SoH of the battery through an algorithm and provides failure early warning, ensures the safe operation of the battery energy storage system while realizing the high-efficiency utilization of the battery function, and avoids the occurrence of accidents such as thermal runaway and even explosion.
Drawings
FIG. 1 is a schematic diagram of a fiber demodulation analyzer according to an embodiment of the present invention;
FIG. 2 illustrates a schematic diagram of a strained optical fiber structure provided in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of a temperature optical fiber structure provided according to an embodiment of the present invention;
FIG. 4 is a block diagram of a system provided in accordance with an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a system display structure provided by an embodiment of the present invention.
Illustration of the drawings:
1. an optical fiber demodulation analyzer; 2. a control module; 3. an optical fiber sensor; 11. a tunable laser; 12. a fiber coupler; 13. a reference optical fiber; 14. a light detector; 15. a data acquisition unit; 16. a signal processing unit; 17. a loop-back ring; 18. a light splitter; 31. a strain optical fiber; 311. a first core; 312. a first cladding layer; 32. a temperature optical fiber; 321. a second core; 322. a second cladding layer; 323. a sleeve.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Referring to fig. 1-5, the present invention provides a technical solution:
a distributed battery monitoring system based on optical fiber scattering comprises an optical fiber demodulation analyzer 1, a control module 2 and an optical fiber sensor 3, wherein the optical fiber demodulation analyzer 1 is connected with the control module 2 and the optical fiber sensor 3;
the optical fiber demodulation analyzer 1 comprises a tunable laser 11, two optical fiber couplers 12, a reference optical fiber 13, an optical detector 14, a data collector 15, a signal processing unit 16, a circulator 17 and a light splitter 18, and is used for collecting original signals of deformation and temperature of a battery in a battery system, sending the original signals to the signal processing unit 16 for processing and then sending the original signals to the control module 2; the optical fiber demodulation analyzer 1 is a Rayleigh (Rayleigh) scattering sensor based on light, the detection system is used for acquiring strain and temperature information along the optical fiber based on coherent demodulation, continuous light with frequency emitted by a light source and linearly scanned is divided into two paths by a coupler, one path of light is guided into a sensing optical fiber, the other path of light enters a reference optical fiber 13, and Rayleigh scattering signals emitted by the sensing optical fiber and the reference optical fiber 13 are received and coherently demodulated by a photoelectric detector; variable optical attenuators, couplers, splitters 18, circulators 17, optical switches, and filters may also be optionally incorporated into the connections.
The control module 2 is used for connecting the battery management system and the optical fiber demodulation analyzer 1, and controlling the sampling frequency, the frequency sweeping speed, the frequency sweeping range and the photoelectric modulator of the optical fiber demodulation analyzer 1 based on the real-time in-situ battery temperature and strain information to realize a multi-parameter adjustable battery sensing system; this control module 2 connects optical fiber demodulation analysis appearance 1 and is connected with the BMS, sampling frequency and spatial resolution to optical fiber demodulation analysis appearance 1 control and alarm judgement, control module 2 realizes modulation spatial resolution through controlling optical fiber demodulation analysis appearance 1 sweep frequency range, realize from whole battery system to battery module (module) level and battery electricity core monomer, variable level and variable sampling frequency monitor in order to realize the effective quick monitoring of battery system, when judging that battery monomer or module receive serious mechanical destruction or thermal runaway, direct trigger battery monomer or module internal relay, keep apart the trouble battery.
The optical fiber sensor 3 consists of a strain optical fiber 31 and a temperature optical fiber 32, the strain optical fiber 31 consists of a first fiber core 311 and a first cladding 312, the first fiber core 311 is used for sensing and transmission, and the first cladding 312 is used for optical isolation and mechanical protection and is in a single-mode sensing mode; the temperature optical fiber 32 is composed of a second fiber core 321, a second cladding 322 and a sleeve 323, the second fiber core 321 is used for sensing and transmission, the second cladding 322 is used for optical isolation and mechanical protection, a coating layer can be selectively added, a space is left between the sleeve 323 and the second fiber core 321 and between the sleeve 323 and the second cladding 322, the space can be filled with air or liquid to realize isolation strain, the sleeve 323 has the effect of isolation strain, the coating layer can be selectively added, the sleeve 323 can be made of any one of high-bulkiness glass fiber, stainless steel, ceramic, polyolefin, polypropylene and nano materials, and the difference between the temperature optical fiber 32 and the strain optical fiber 31 lies in whether the sleeve 323 is sleeved on the outer side or not, the first fiber core 311 is the same as the second fiber core 321, and the first cladding 312 is the same as the second cladding 322 and is in a single-mode sensing mode; the optical fiber sensors 3 do not need to write gratings, single-mode optical fibers are directly used as sensing optical fiber elements and transmission media, the temperature optical fibers 32 are not affected by strain, the pair of optical fiber sensors 3 are laid outside the cell monomers in parallel and comprise cell outer surfaces, positive and negative electrodes, a decompression exhaust area and a joint, and the external temperature field and deformation field data of the cell monomers are collected.
The optical fiber sensors 3 are distributed on the outer surface of the battery core, the positive electrode, the negative electrode, the decompression exhaust area and the connecting part (one or more parts) in the battery system, the data of the external temperature field and the deformation field of the battery core monomer are collected, and the SoC, soH and failure states of the battery are evaluated through the mechanical strain, the thermal strain and the temperature which are monitored in real time;
the positions of the battery deformation and temperature monitoring points are determined by optical fiber sensors placed at the measured points, and the distance between the measured points can be adjusted at will according to specific requirements; compared with the existing Bragg grating optical fiber sensing and electrical sensing systems, the position of each test point is determined in advance; the invention realizes the compensation analysis of strain and temperature by using two sensing optical fibers, and has high test precision, flexibility and strength;
frequency (Deltav) obtained by the demodulated strain fiber sensor ε-DFOS ) The change is as follows:
Δv ε-DFOS ＝K T ΔT+K ε ε
wherein, K T Is the temperature compensation coefficient, Δ T is the temperature difference, K ε Is the strain compensation coefficient, ε is the strain value;
frequency (Δ v) obtained by temperature optical fiber sensor after demodulation T-DFOS ) The change is as follows:
Δv T-DFOS ＝K T ΔT
wherein:
Δ T (i) = T (i) -T (B), where T (i) is the real-time temperature and T (B) is the temperature reference value;
ε(i)＝ε r (i) ε (B), wherein ε r (i) The real-time strain is shown, and epsilon (B) is a strain reference value;
ε(i)＝ε M (i)+ε T (i) In which epsilon M (i) For strains induced in real time by mechanical deformation, epsilon M (i) Strain induced by thermal deformation in real time;
SoC (State of Charge) is the battery State of Charge;
SoC(i)＝A·ε M (i) a +B·ε T (i) b +C·ΔT(i) c +P(V(i)，I(i))+W；
wherein SoC (I) is a real-time battery state-of-charge, a is a mechanical deformation reference coefficient, α is a mechanical deformation reference index, B is a thermal deformation reference coefficient, B is a thermal deformation reference index, C is a temperature reference coefficient, C is a temperature reference index, P is a battery state-of-charge reference value related to voltage V and current I, and W is a battery state-of-charge base number;
SoH (State of Health) is the State of Health of the battery;
SoH(i)＝D·ε M (i) d +F·ε T (i) f +G·ΔT(i) g +Q(V(i)，I(i))+V；
wherein SoH (I) is the real-time battery health status, D is the mechanical deformation reference coefficient, D is the mechanical deformation reference index, F is the thermal deformation reference coefficient, F is the thermal deformation reference index, G is the temperature reference coefficient, G is the temperature reference index, Q is the battery health status reference value associated with voltage V and current I, and V is the battery health status base number.
The previous description of the embodiments is provided to enable any person skilled in the art to make or use the present invention. 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 invention. Thus, the present invention 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 (2)
1. A distributed battery monitoring system based on optical fiber scattering comprises an optical fiber demodulation analyzer (1), a control module (2) and an optical fiber sensor (3), and is characterized in that the optical fiber demodulation analyzer (1) is connected with the control module (2) and the optical fiber sensor (3);
the optical fiber demodulation analyzer (1) comprises a tunable laser (11), two optical fiber couplers (12), a reference optical fiber (13), an optical detector (14), a data acquisition unit (15), a signal processing unit (16), a circulator (17) and an optical splitter (18), and the optical fiber demodulation analyzer (1) is used for acquiring original signals of the deformation and the temperature of a battery in a battery system, sending the original signals to the signal processing unit (16) for processing and then sending the original signals to the control module (2);
the control module (2) is used for connecting the battery management system and the optical fiber demodulation analyzer (1), and controlling the sampling frequency, the frequency sweeping speed, the frequency sweeping range and the photoelectric modulator of the optical fiber demodulation analyzer (1) based on the real-time in-situ battery temperature and strain information to realize a multi-parameter, adjustable and real-time battery monitoring system;
the optical fiber sensor (3) consists of a strain optical fiber (31) and a temperature optical fiber (32), the strain optical fiber (31) consists of a first fiber core (311) and a first cladding (312), the first fiber core (311) is used for sensing and transmitting, the first cladding (312) is used for optical isolation and mechanical protection, and a coating layer can be selectively added in a single-mode sensing mode; the temperature optical fiber (32) is composed of a second fiber core (321), a second cladding (322) and a sleeve (323), the second fiber core (321) is used for sensing and transmission, the second cladding (322) is used for optical isolation and mechanical protection, the sleeve (323) has the effect of isolating strain, a coating layer can be selectively added, and the sleeve (323) can be made of any one of high-fluffiness glass fiber, stainless steel, ceramic, polyolefin, polypropylene and nano materials and is in a single-mode sensing mode.
2. The distributed battery monitoring system based on optical fiber scattering according to claim 2, wherein the optical fiber sensors (3) are distributed on the outer surface of the battery cell, the positive and negative electrodes, the decompression exhaust area and the joint (one or more) in the battery system, collect the external temperature field and deformation field data of the battery cell, evaluate the SoC and SoH of the battery through historical and real-time monitored mechanical strain, thermal strain and temperature, and provide failure early warning:
frequency (Deltav) obtained by the demodulated strain fiber sensor ε-DFOS ) The change is as follows:
Δv ε-DFOS ＝K T ΔT+K ε ε
wherein K is T Is the temperature compensation coefficient, Δ T is the temperature difference, K ε Is the strain compensation coefficient, and ε is the strain value;
frequency (Deltav) obtained by temperature optical fiber sensor after demodulation T-DFOS ) The change is as follows:
Δv T-DFOS ＝K T ΔT
wherein:
Δ T (i) = T (i) -T (B), where T (i) is a real-time temperature and T (B) is a temperature reference value;
ε(i)＝ε r (i) ε (B), wherein ε r (i) The real-time strain is shown, and epsilon (B) is a strain reference value;
ε(i)＝ε M (i)+ε T (i) Wherein epsilon M (i) For strains induced in real time by mechanical deformation, epsilon T (i) Strain induced by thermal deformation in real time;
SoC (State of Charge) is the battery State of Charge;
SoC(i)＝A·ε M (i) a +B·ε T (i) b +C·ΔT(i) c +P(V(i)，I(i))+W；
wherein SoC (i) is a real-time battery state-of-charge, a is a mechanical deformation reference coefficient, a is a mechanical deformation reference index, B is a thermal deformation reference coefficient, B is a thermal deformation reference index, C is a temperature reference coefficient, C is a temperature reference index, P is a battery state-of-charge reference value related to voltage V and current T, and W is a battery state-of-charge base number;
SoH (State of Health) is the State of Health of the battery;
SoH(i)＝D·ε M (i) d +F·ε T (i) f +G·ΔT(i) g +Q(V(i)，I(i))+V；
the battery state of health is a real-time battery state of health (SOH) (I), D is a mechanical deformation reference coefficient, D is a mechanical deformation reference index, F is a thermal deformation reference coefficient, F is a thermal deformation reference index, G is a temperature reference coefficient, G is a temperature reference index, Q is a battery state of health reference value related to voltage V and current I, and V is a battery state of health base.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115615343A (en) * | 2022-12-05 | 2023-01-17 | 中汽数据有限公司 | Power battery safety monitoring method, electronic equipment and storage medium |
| CN116455085A (en) * | 2023-06-16 | 2023-07-18 | 尚宁心材(天津)科技有限公司 | Intelligent monitoring system of battery energy storage power station |
| CN116735029A (en) * | 2023-08-09 | 2023-09-12 | 中国科学技术大学 | Battery safety monitoring system, method and device |
| CN116773042A (en) * | 2023-08-16 | 2023-09-19 | 中石油深圳新能源研究院有限公司 | Battery module temperature detection method, system and storage medium |
| CN117790955A (en) * | 2023-12-30 | 2024-03-29 | 华中科技大学 | Battery fault diagnosis system and method based on optical fiber sensing |
-
2022
- 2022-08-23 CN CN202211012987.XA patent/CN115267562A/en not_active Withdrawn
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115615343A (en) * | 2022-12-05 | 2023-01-17 | 中汽数据有限公司 | Power battery safety monitoring method, electronic equipment and storage medium |
| CN116455085A (en) * | 2023-06-16 | 2023-07-18 | 尚宁心材(天津)科技有限公司 | Intelligent monitoring system of battery energy storage power station |
| CN116455085B (en) * | 2023-06-16 | 2023-09-26 | 尚宁心材(天津)科技有限公司 | Intelligent monitoring system of battery energy storage power station |
| CN116735029A (en) * | 2023-08-09 | 2023-09-12 | 中国科学技术大学 | Battery safety monitoring system, method and device |
| CN116735029B (en) * | 2023-08-09 | 2023-11-17 | 中国科学技术大学 | Battery safety monitoring system, method and device |
| CN116773042A (en) * | 2023-08-16 | 2023-09-19 | 中石油深圳新能源研究院有限公司 | Battery module temperature detection method, system and storage medium |
| CN117790955A (en) * | 2023-12-30 | 2024-03-29 | 华中科技大学 | Battery fault diagnosis system and method based on optical fiber sensing |
| CN117790955B (en) * | 2023-12-30 | 2024-07-26 | 华中科技大学 | Battery fault diagnosis system and method based on optical fiber sensing |
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