CN217157440U - Intelligent battery monitoring and early warning system based on multiple types and multiple quantity sensors - Google Patents

Intelligent battery monitoring and early warning system based on multiple types and multiple quantity sensors Download PDF

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CN217157440U
CN217157440U CN202122199189.XU CN202122199189U CN217157440U CN 217157440 U CN217157440 U CN 217157440U CN 202122199189 U CN202122199189 U CN 202122199189U CN 217157440 U CN217157440 U CN 217157440U
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battery
state information
sensors
battery pack
data fusion
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杨兴
贾炎燊
王博
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Tsinghua University
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Tsinghua University
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Abstract

The application discloses intelligent battery monitoring and early warning system based on multiple types, most sensors, this system includes: the sensors are arranged at key positions of the battery pack/battery and used for acquiring a plurality of state information of the battery, wherein the sensors comprise different types of sensors; the transmission module is used for transmitting the plurality of state information of the battery to the data fusion processing module; the data fusion processing module is used for carrying out data fusion processing on the plurality of state information of the battery to generate fusion state information of the battery; the early warning module is used for executing a preset protection strategy. The accuracy of measuring parameters such as the temperature and the pressure of the battery by adopting various and numerous sensors is high, and the accuracy of monitoring and evaluating the safety performance of the battery can be improved; the information monitored by the sensor is subjected to data fusion processing, so that the safety performance of the battery can be evaluated in all directions; and a cloud database is established by utilizing the information obtained by the sensor, so that the establishment and identification of a battery safety performance model are facilitated.

Description

Intelligent battery monitoring and early warning system based on multiple types and multiple quantity sensors
Technical Field
The utility model relates to a battery state monitoring technology field, in particular to intelligent battery monitoring early warning system based on multiple type, most sensors.
Background
Since 1799 volts successfully made the first battery in the world, the battery has been rapidly developed, and has been widely used in many aspects such as digital, household electrical appliances, etc. due to its advantages of large specific energy, convenient use, long cycle life, etc. However, the battery itself has a safety hazard that cannot be ignored, and with the emergence of new batteries in recent years, indexes such as battery energy density are increasing to meet the use requirements of people, and the safety problem of the battery is also becoming more acute. Therefore, improving the safety performance of the battery has become an important direction for the development of the battery.
At present, the improvement of the safety performance of the battery is mainly realized by two means of improving the manufacturing technology of a single battery and monitoring the state information of the battery.
Improvement of the battery monomer manufacturing technology, such as addition of electrolyte additives, improvement of the structure of positive and negative electrode materials, and improvement of the preparation process of the diaphragm, is a method for improving the safety of the battery from materials and technologies per se. The method can directly improve the service life and the safety performance of the battery, but the safety performance of the battery is improved by improving the manufacturing process of the single battery, the application cost of the battery is greatly increased, and the method has technical and material barriers and is difficult to meet the increasing safety requirements of the battery of people.
The monitoring of the battery state information is an important means for improving the safety of the battery at present by taking various parameters such as temperature, pressure and the like in the battery runaway process as fault identification parameters and introducing the parameters into the monitoring of the battery state information in consideration of the generation of characteristic gas. Compared with the improvement of the single battery manufacturing technology, the method is low in cost, and some relevant parameters of the battery can be intuitively and effectively obtained, so that the service life and the safety performance of the battery are improved.
The current method for monitoring battery status information has been used for various devices using a battery as a power source, but the following problems still exist:
1) the information type and the number of the monitoring batteries are less: besides the electrical parameters such as voltage, current and internal resistance which are frequently monitored by a battery management system, temperature is generally used as an index for evaluating the safety performance of the battery, and when the battery is out of control, not only the temperature is increased, but also a large amount of gas is generated, so that monitoring the pressure index is an effective means for improving the reliability of a battery monitoring system. In addition, in the current monitoring system, the number of sensors for monitoring the battery state information is large and small, and the sensors are not enough for fully and comprehensively monitoring the state information of the battery, so that more information needs to be monitored, and meanwhile, the information needs to be uploaded to the cloud end and is transmitted to a user after fusion processing, and therefore the reliability of the monitoring system can be improved.
For example, chinese patent CN 205280235U proposes a monitoring structure of a lithium battery temperature sensor, which includes a first lithium battery and a second lithium battery arranged in parallel, a gap is formed between the outer walls of the first lithium battery and the second lithium battery, an adaptive thermal conductive material is filled in the gap, a temperature sensor is embedded in the adaptive thermal conductive material, and the temperature sensor is connected with an external temperature monitoring instrument. The lithium battery has the advantages that the sensing information only has temperature and the number is only one, so that the sensing information is single, and the state performance of the lithium battery is not beneficial to comprehensive evaluation.
It has been realized later that the increased number of sensors will improve the accuracy of the monitoring system, for example, in chinese patent CN 104466285 a, a battery system for electric bicycles is invented, which comprises a battery housing, a battery and a base, wherein a plurality of temperature sensors are arranged inside the battery housing, and a temperature control chip, an alarm lamp, a buzzer and a battery output system are arranged inside the base. The temperature control chip is connected with the temperature sensor, the alarm lamp and the buzzer on one hand, and is connected with the battery output system on the other hand; the battery output system is connected with the battery on one hand and the temperature control chip on the other hand. However, the safety evaluation standard of the battery system is only the temperature parameter, and the parameters such as pressure and gas are not brought into the safety evaluation range, so that the accuracy of the battery monitoring system is not sufficiently improved, and the personal and property safety of a user is not guaranteed.
2) The sensors are not arranged in a number of critical locations of the battery: the sensor arrangement mode of the existing monitoring system is still to be improved, a system taking temperature as a monitoring parameter is taken as an example, most temperature sensors directly measure the surface temperature of the battery, and the biggest problem of the measurement mode is that the internal temperature and the external temperature of the battery have certain temperature difference, the surface temperature of the battery is not enough to reflect the actual temperature state of the battery, so that the phenomenon of thermal runaway already occurs in the battery when the external temperature of the battery is still in a normal range, and finally the monitoring system cannot acquire correct state information. Therefore, sensors need to be arranged at a plurality of key positions of the battery pack/battery, so that the success rate of the lithium battery state information monitoring system is improved.
The placement position of the sensor is also studied, for example, the university of california studies a 18650 cylindrical lithium battery, the structure of which includes two t-type thermocouples installed on the surface of the battery and the battery core, respectively, and based on the two t-type thermocouples, a two-state thermal model of the battery surface and the battery core temperature dynamic state is established, and the safety performance of the lithium battery is evaluated by using signals with the measured surface temperature and the measured battery core temperature. The research proves that the accuracy of evaluating the safety of the battery can be improved practically and effectively by arranging the sensor at the key position of the battery, but the thermocouple used by the structure can monitor the temperature only 15-40 ℃, the measurement temperature range is not enough to cover the temperature of the whole working area of the battery, the monitoring information only has temperature, the information is single, and the early warning and monitoring on the safety performance of the lithium battery during use are not facilitated.
3) Most of the current monitoring systems do not relate to sensing information fusion processing and related algorithms: the method has the problems of insufficient intelligence, insufficient accuracy and the like, and can cause the user to be incapable of accurately and quantitatively evaluating the use state of the battery, so that sensing information fusion processing and related algorithms need to be added into a monitoring system, and the intellectualization of the battery state information monitoring system is improved.
In summary, although the method of monitoring the battery sensing information has achieved certain effects and is already used in the design of some products, the following problems still exist:
1. the type and the quantity of the sensing information are less: in the existing monitoring system, the types of sensors for monitoring the state information of the battery are few, and the sensors are not enough to fully and comprehensively monitor the state information of the battery; in addition, the number of the arranged sensors is insufficient, so that the monitoring accuracy is affected.
2. Sensors are not placed at multiple critical locations of the battery/cell: the sensor arrangement mode of the existing monitoring system is not arranged at a key position, and the accuracy of the monitoring system for evaluating the battery state is influenced.
3. The monitoring system has insufficient intelligence degree: most of the current monitoring systems do not relate to sensing information fusion processing and related algorithms, only transmit data of sensing information to a user, and the data is not processed at all, so that the user cannot quantitatively evaluate the use state of the battery.
Therefore, the above-mentioned deficiencies of the prior art need to be overcome by a new solution, and a battery state monitoring system with various monitoring information, multiple sensor key points, high accuracy and high intelligence degree needs to be researched.
Disclosure of Invention
The present invention aims at solving at least one of the technical problems in the related art to a certain extent.
Therefore, an object of the utility model is to provide an intelligent battery monitoring and early warning system based on multiple type, most sensor. The utility model adopts various and numerous sensors to carry out early warning monitoring, can effectively evaluate the safety performance of the battery, and improves the reliability of the early warning system; the sensors can be arranged at a plurality of key parts of the battery pack/battery, and can be used for simultaneously measuring parameters such as temperature and pressure of the battery at multiple points, so that the accuracy of evaluating the state of the battery is high; the information monitored by the sensor is subjected to data fusion processing, so that the safety performance of the battery can be quantitatively evaluated conveniently; and a cloud database is established for the information in various aspects obtained by sensing, so that the establishment and identification of a battery safety performance model are facilitated.
In order to achieve the above object, an embodiment of the utility model provides an intelligence battery monitoring and early warning system based on multiple type, most quantity sensor is proposed to an aspect, include:
the system comprises a plurality of sensors, a plurality of sensors and a control unit, wherein the sensors are arranged at key positions of a battery pack/battery and are used for acquiring a plurality of state information of the battery pack/battery, and the sensors comprise different types of sensors;
the transmission module is used for transmitting the state information of the battery pack/battery to the data fusion processing module;
the data fusion processing module is used for carrying out data fusion processing on the plurality of state information of the battery pack/battery to generate the fusion state information of the battery pack/battery;
the early warning module is used for identifying the working state of the battery pack/battery according to the fusion state information, and alarming and executing a preset protection strategy when the working state of the battery pack/battery is determined to be abnormal; the alarm comprises one of automatic alarm, buzzing and flash early warning behaviors; the executing the preset protection policy comprises: the power supply is cut off.
The utility model discloses intelligent battery monitoring and early warning system based on many kinds, most sensor, through a plurality of sensors, a plurality of sensors set up on a plurality of key positions of group battery/battery, a plurality of sensors are used for acquireing a plurality of state information of group battery/battery, wherein, a plurality of sensors include different kinds of sensor; the transmission module is used for transmitting the state information of the battery pack/battery to the data fusion processing module; the data fusion processing module is used for carrying out data fusion processing on the plurality of state information of the battery pack/battery to generate the fusion state information of the battery pack/battery; the early warning module is used for identifying the working state of the battery pack/battery according to the fusion state information, and alarming and executing a preset protection strategy when the working state of the battery pack/battery is determined to be abnormal; the alarm comprises one of automatic alarm, buzzing and flash early warning behaviors; the executing the preset protection policy comprises: the power supply is cut off. The utility model adopts various and numerous sensors to carry out early warning monitoring, can effectively evaluate the safety performance of the battery, and improves the reliability of the early warning system; the sensors can be arranged at a plurality of key parts of the battery, and can be used for simultaneously measuring parameters such as the temperature and the pressure of the battery at multiple points, so that the accuracy of evaluating the state of the battery is high; the information monitored by the sensor is subjected to data fusion processing, so that the safety performance of the battery can be evaluated in all directions; and a cloud database is established for the information in various aspects obtained by sensing, so that the establishment and identification of a battery safety performance model are facilitated.
In addition, according to the utility model discloses battery early warning monitoring system based on multiple type, most quantity sensor can also have following additional technical characterstic:
further, in an embodiment of the present invention, the heterogeneous sensor includes: at least two of temperature sensors, pressure sensors, gas sensors, force and deformation sensors, humidity sensors, chemical sensors, inertial sensors, and the like.
Further, in an embodiment of the present invention, the different kinds of sensors are processed and manufactured by a precision machining process, the process includes: micro-nano process such as MEMS process, NEMS process, thick film process and microelectronic process.
Further, in an embodiment of the present invention, the critical positions include the critical positions of the battery pack, such as up, down, left, right, and inside, and one or more of the inside, the outer shell, the anode, the cathode, and the like of the single battery;
the arrangement mode of the batteries and the installation positions of the sensors can be arranged in a self-adaptive mode aiming at batteries of different types, wherein the batteries comprise one of lithium batteries, lead-acid storage batteries, dry batteries, fuel batteries, sodium ion batteries and the like;
the installation number of the sensors is autonomously arranged according to batteries of different application scenes and application requirements of different users.
Further, in an embodiment of the present invention, the application includes but is not limited to electric vehicles, electric bicycles, electric vehicles, electric ships, mobile terminals such as mobile power sources, mobile phones, unmanned aerial vehicles, computers, electric tools, portable devices, and other fields.
Further, in an embodiment of the present invention, a coating encapsulation structure is coated on the surface of the sensor, and the material of the coating encapsulation structure is one or more of organic matter, inorganic matter, biological material, chemical material, and the like.
Further, in an embodiment of the present invention, the present invention further includes:
and the data fusion processing module is arranged on the user terminal, and the user terminal is used for receiving the plurality of state information of the battery pack/battery sent by the transmission module and performing data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module to generate the fusion state information of the battery pack/battery.
Further, in an embodiment of the present invention, the present invention further includes: a cloud server;
the cloud server is used for receiving a plurality of state information of the battery pack/battery uploaded by the user terminal in a wireless mode or a wired mode;
the data fusion processing module is arranged on the cloud server, the cloud server comprises a cloud database, the cloud database is used for storing a plurality of state information data of the battery pack/battery used by a user, and the cloud server is used for performing data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module to generate fusion state information of the battery pack/battery.
Further, in an embodiment of the present invention, the user terminal is further configured to display the fusion state information of the battery pack/battery on a display interface.
Further, in an embodiment of the present invention, the data fusion processing module is further configured to perform feature extraction on each state information of the battery pack/battery, and perform pattern recognition according to the extracted features, so as to perform feature fusion on a plurality of state information according to one or more ways of algorithms such as fuzzy inference, neural network and machine learning, and generate the fusion state information of the battery pack/battery.
Further, in an embodiment of the present invention, the system further includes an integrated chip module, for integrating the plurality of sensors, the transmission module, the data fusion processing module and the early warning module on a chip and applying them to the system, and for integrating the plurality of sensors on a chip and applying them to the system.
Further, in an embodiment of the present invention, the transmission mode includes: one or more of wireless technologies such as ZigBee, RFID, NFC, Bluetooth technology, mobile communication network and wired technologies.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a block diagram of a flow chart of an intelligent battery monitoring and early warning system based on multiple types and quantities of sensors according to an embodiment of the present invention.
Fig. 2 is a schematic diagram and structure diagram of an intelligent battery monitoring and early warning system based on multiple types and quantities of sensors according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a battery state information monitoring system applied to vehicles such as electric bicycles, according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a battery state information monitoring system applied to an electric vehicle according to an embodiment of the present invention.
Fig. 5(a), 5(b) and 5(c) are schematic diagrams of a plurality of heterogeneous sensors located at different positions of a single cell according to an embodiment of the present invention.
Fig. 6 is a schematic diagram of a plurality of heterogeneous sensors located at different locations of a battery pack according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of data fusion of multi-sensor information according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present invention, and should not be construed as limiting the present invention.
The following describes according to referring to the figure the utility model discloses intelligent battery monitoring early warning system and method based on multiple type, most quantity sensor that the embodiment provided will at first describe according to referring to the figure the utility model discloses intelligent battery monitoring early warning system based on multiple type, most quantity sensor that the embodiment provided.
The utility model discloses with multiple type, most sensor technology is applied to battery monitoring system, fig. 2 is according to the utility model discloses a principle and the structure chart based on multiple type, most sensor's intelligent battery monitoring early warning system, as shown in fig. 2, through installing multiple type, a plurality of key position department at the battery with many sensor of quantity, can acquire the all-round information of battery in real time, make the battery at work, the state information when charging or standby transmits to user terminal through wired/wireless transmission's mode, user terminal sends state information to the high in the clouds, the high in the clouds is carried out data fusion processing algorithm to it after, send the battery state of aassessment for receiving terminals such as user through user terminal, and report to the police and carry out predetermined protection strategy when discerning out fusion state information data anomaly, a multi-sensor's, realized from this, The battery monitoring method and the related system which carry data fusion processing, have low manufacturing cost and high reliability and can monitor information in real time solve the problems existing in the current battery monitoring system that: insufficient comprehensive monitoring information, insufficient intelligence, insufficient accuracy and the like.
Fig. 1 is a schematic structural diagram of a battery early warning monitoring system based on multiple types and multiple quantity sensors according to the embodiment of the present invention.
As shown in fig. 1, the monitoring system 10 includes: a plurality of sensors 100, a transmission module 200, a data fusion processing module 300 and an early warning module 400.
The battery pack/battery state information acquisition system comprises a plurality of sensors 100, wherein the sensors 100 are arranged at key positions of the battery pack/battery, and the sensors 100 are used for acquiring a plurality of state information of the battery pack/battery, wherein the sensors 100 comprise different types of sensors.
Specifically, the sensor includes: temperature sensors, pressure sensors, gas sensors, force and deformation sensors, humidity sensors, chemical sensors, inertial sensors, and the like. Any arrangement may be made by one skilled in the art as desired and the disclosure is not limited thereto.
Further, in an embodiment of the utility model, the utility model discloses an in the embodiment, the utility model discloses make sensor 100 install at a plurality of key positions of group battery/battery, carry out preliminary data processing with the relevant performance information of battery and then transmit to the outside, adopt multiple type, most sensor to carry out the early warning monitoring, security performance that can effectual aassessment battery improves early warning system's reliability.
Further, in an embodiment of the present invention, as shown in fig. 5(a), 5(b) and 5(c), the sensor 100 may be installed in any critical position of the inner part, the outer shell, the positive pole, the negative pole, etc. of the single cell for different types and different purposes.
Further, in an embodiment of the present invention, as shown in fig. 6, for different types of battery packs with different purposes, the sensor 100 can be installed at any critical position such as upper, lower, left, right, inside, etc. of the battery pack.
Specifically, the battery includes a lithium battery, a lead storage battery, a dry battery, a fuel cell, a sodium ion battery, etc., and those skilled in the art may arbitrarily set the battery as needed, and the present disclosure is not particularly limited thereto.
Furthermore, the installation positions of the sensors 100 can be arranged in a self-adaptive manner according to different battery models and battery arrangement modes, so that the overall structural design of the battery is facilitated; the installation number of the sensors 100 can be arranged autonomously according to the batteries of different application scenarios and the application requirements of different users, which is beneficial to design and manufacture under different conditions.
Further, in an embodiment of the present invention, as an implementation manner, the used surfaces of the temperature sensor, the pressure sensor, the gas sensor, and the like may be coated with a certain encapsulation structure such as a coating, and the encapsulation structure material such as a coating may be an organic material, an inorganic material, a biological material, or a chemical material. The coating of the utility model can prevent the damage or the performance influence of the liquid, the gas and the solid on the periphery to the sensor.
The transmission module 200 is configured to upload a plurality of state information of the battery pack/battery to the data fusion processing module 300.
Further, in an embodiment of the utility model, as an implementation, still include user terminal, data fusion processing module sets up on user terminal, user terminal is used for receiving a plurality of state information of group battery/battery that transmission module 200 sent, and carry out data fusion processing to a plurality of state information of group battery/battery through data fusion processing module 300, generate the amalgamation state information of group battery/battery, still be used for uploading a plurality of state information of group battery/battery to the high in the clouds server through wireless mode/or wired mode, and show the amalgamation state information of group battery/battery on the display interface.
Further, in an embodiment of the present invention, as an implementation manner, the data fusion processing module is disposed on the battery/cell, and the battery/cell is used for receiving the plurality of status information of the battery/cell sent by the transmission module 200, and performing data fusion processing on the plurality of status information of the battery/cell through the data fusion processing module 300 to generate the fusion status information of the battery/cell.
The data fusion processing module 300 is configured to perform data fusion processing on the plurality of pieces of state information of the battery pack/battery, and generate fusion state information of the battery pack/battery.
Specifically, as shown in fig. 7, the data fusion processing module 300 performs feature extraction on each state information of the battery pack/battery, performs pattern recognition according to the extracted features, and performs feature fusion on a plurality of state information in various manners such as fuzzy inference, neural network, machine learning algorithm, and the like to generate the fusion state information of the battery pack/battery.
It is understood that the feature extraction for each state information of the battery pack/cells may employ time series analysis, frequency analysis, wavelet transform, and the like.
The cloud server is used for receiving a plurality of state information of the battery pack/battery uploaded by the user terminal in a wireless mode or a wired mode;
the data fusion processing module 300 is disposed on a cloud server, the cloud server includes a cloud database, the cloud database is used for storing a plurality of state information data of the battery pack/battery used by the user, and the cloud server is used for performing data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module 300 to generate fusion state information of the battery pack/battery.
Further, the utility model discloses an embodiment, the high in the clouds server receives a plurality of state information of group battery/battery that user terminal uploaded through wireless mode/or wired mode, and data fusion processing module 300 sets up on user terminal, and the high in the clouds server includes the high in the clouds database, and the high in the clouds database is used for a plurality of state information of storage group battery/battery, and the high in the clouds server is used for carrying out the data fusion processing through a plurality of state information of data fusion processing module 300 to group battery/battery, generates the fusion state information of group battery/battery.
The early warning module 400 is used for identifying the working state of the battery pack/battery according to the fusion state information, and alarming and executing a preset protection strategy when the working state of the battery pack/battery is determined to be abnormal; the alarm comprises one of automatic alarm, buzzing and flash early warning behaviors; executing the preset protection policy includes: the power supply is cut off.
It can be understood that the generated battery pack/battery fusion state information is transmitted by the transmission module to be displayed on the display interface, so that the user can know the state information of the battery in real time. If the information is abnormal, early warning behaviors such as alarming, sounding, flashing and the like can be immediately made. Meanwhile, the battery pack/battery unit can perform protection actions such as power supply cut-off and the like.
Further, the system comprises sensors for measuring the battery performance information, such as temperature, pressure, gas and the like, and can also comprise a wireless/wired transmission module, a valve, a signal processing module and the like. All modules and components can be integrated on a circuit board or a chip; if a wireless transmission mode is adopted, techniques such as BLE, ZigBee, wireless network, RFID, NFC, Bluetooth, mobile communication network and the like can be adopted.
For example, in a ternary lithium battery state information monitoring system of a vehicle such as an electric bicycle or an electric automobile, a battery pack/battery unit, a sensor unit, a data fusion processing module, a transmission module, an alarm module, a user terminal, and various modules for various information processing and transmission are integrated on one chip together, and through integration of the chip, information transmission among the modules of the system is more stable in a wireless network transmission form, the transmission speed is higher, the loss of transmission among the modules is smaller, and the transmission data is more accurate.
It is right below through two concrete embodiments the utility model discloses an intelligent battery monitoring and early warning system based on multiple type, most sensor carries out detailed description.
Example one
In this embodiment, the intelligent battery monitoring and early warning system based on multiple kinds and quantities of sensors includes, for example:
fig. 3 is a schematic structural diagram of a ternary lithium battery state information monitoring system applied to vehicles such as electric bicycles, according to an embodiment of the present invention, as shown in fig. 3: the intelligent monitoring system comprises a battery pack/battery unit, a sensor unit, a data fusion processing module, a transmission module, an alarm module and a user terminal.
The plurality of sensors 100 are disposed at a plurality of critical positions of the battery pack/cell, and are used for acquiring a plurality of state information of the battery pack/cell, wherein the plurality of sensors 100 include different types of sensors.
Specifically, different types and different numbers of sensors are selected and arranged at different preset positions of the battery, and on the basis that the above technical effects of the embodiments of the present disclosure can be achieved, a person skilled in the art can arbitrarily set the sensors as needed, which is not specifically limited by the present disclosure.
As shown in fig. 5(a), 5(b) and 5(c), the sensors are disposed in three different manners in a single battery, which is only an example and is not limited to the three manners.
As shown in fig. 6, the sensor is disposed in the battery pack, which is only an example and not limited to the above-mentioned manner.
Further, a plurality of sensors 100 can be installed at each critical position of the battery pack/battery of the electric bicycle, so as to obtain the state information of the battery, and the installation number and types of the sensors and the installation positions of the sensors can be autonomously arranged according to the battery of different application scenes and the application requirements of different users. As an example, a plurality of different sensors are first installed in the battery pack/battery unit of the electric bicycle, the installation position of the sensor 100 is shown in fig. 3, including the key positions of the inside, the outer casing, the positive pole, the negative pole, etc. of a single battery, and 3 pressure sensors, 3 temperature sensors, 1 gas sensor are respectively arranged on the single battery in fig. 3 (the number of sensors may be one or more according to the actual situation).
The transmission module 200 is used for transmitting the plurality of state information of the battery pack/battery to the data fusion processing module 300.
It can be understood that, when the electric bicycle works, the sensor unit transmits the monitored state information of the battery pack unit to a user terminal (such as a mobile phone of a user, a computer and the like) through the transmission module, and the user terminal uploads the monitored information to the cloud server.
The data fusion processing module 300 is configured to perform data fusion processing on the plurality of pieces of state information of the battery pack/battery, and generate fusion state information of the battery pack/battery.
Further, the cloud server is configured to receive a plurality of status information of the battery pack/battery uploaded by the user terminal in a wired manner/or a wireless manner (e.g., a mobile communication manner, a wide area network manner, etc.).
The data fusion processing module 300 is disposed on a cloud server, the cloud server includes a cloud database, the cloud database is used for storing a plurality of state information data of the battery pack/battery used by the user, and the cloud server is used for performing data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module 300 to generate fusion state information of the battery pack/battery.
Specifically, the cloud server judges the working state of the battery through model identification and algorithm calculation (such as algorithms of neural network, machine learning and the like).
As another implementation manner, the data fusion processing module 300 is disposed on a user terminal, and the user terminal is configured to receive the plurality of state information of the battery pack/battery sent by the transmission module 200, and perform data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module 300 to generate the fusion state information of the battery pack/battery.
As another implementation manner, the data fusion processing module 300 is disposed on the battery pack/battery, and the battery pack/battery is configured to receive the plurality of state information of the battery pack/battery sent by the transmission module 200, and perform data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module 300 to generate the fused state information of the battery pack/battery.
The early warning module 400 is configured to identify a working state of the battery pack/battery according to the fusion state information, and execute a preset protection strategy when the working state of the battery pack/battery is determined to be abnormal, where the warning includes one of automatic warning, whistling, and flashing early warning behaviors; executing the preset protection policy includes: the power supply is cut off. The method specifically comprises the following steps:
the early warning module 400 is disposed on the user terminal, and the result processed by the data fusion processing module is transmitted to the user terminal (such as a mobile phone of the user, a computer, etc.), and the user terminal can display the fusion state information of the battery pack/battery on the real-time display interface, so that the user can know the fusion state information of the battery in real time. If the information is abnormal, the early warning module can immediately make early warning behaviors such as alarming, sounding, flashing and the like. Meanwhile, the user terminal sends the abnormal information to the battery pack unit, and the battery pack unit can perform protection actions such as power supply cut-off and the like.
As another implementation manner, the early warning module 400 is disposed on the battery pack/battery unit, and the result processed by the data fusion processing module is transmitted to the battery pack/battery unit, and if the information is abnormal, the early warning module can immediately perform early warning actions such as warning, sounding, flashing and the like. Meanwhile, the battery pack/battery unit can perform protection actions such as power supply cutoff and the like.
In another implementation manner, a plurality of sensors, such as temperature sensors, pressure sensors, and gas sensors, are disposed at a plurality of critical locations of a battery pack/battery of a vehicle, such as an electric bicycle, and monitor information of the battery pack/battery by using the sensors, for example, when a person sits on the vehicle, the pressure of the body of the electric bicycle and the battery pack/battery is monitored by the pressure sensors, or spontaneous combustion is easily generated due to the electric bicycle being in a charging state or in a high temperature environment, the condition of the battery pack/battery is monitored in real time by the temperature sensors disposed on the battery pack/battery, and data fusion information is fed back to a user by cloud data fusion, and if a temperature exceeds a load, an early warning, such as an alarm, a beep, a flash, etc., is timely issued, the power supply and other protective measures can be automatically cut off, and the user is informed, so that the user can timely take remedial measures to reduce loss. The battery pack/battery of the electric bicycle and other vehicles are monitored in real time under different conditions, data fusion is carried out on various state information monitored by the sensor, the fusion information is fed back to the user terminal/cloud end, meanwhile, the user terminal sends monitored abnormal information to the battery pack/battery, and the early warning system of the battery pack/battery executes a protection strategy under abnormal conditions in time. So as to ensure the safety of the automobile body and the human body.
Example two
In this embodiment, the intelligent battery monitoring and early warning system based on multiple kinds and quantities of sensors includes, for example:
fig. 4 is a schematic structural diagram of a lithium iron phosphate battery state information monitoring system applied to an electric vehicle according to the present invention, as shown in fig. 4: the intelligent monitoring system comprises a battery pack unit, a sensor unit, a data fusion processing module, a transmission module, an alarm module and a user terminal.
The plurality of sensors 100 are disposed at key positions of the battery pack/cell, and are used for acquiring a plurality of state information of the battery pack/cell, wherein the plurality of sensors 100 include different types of sensors.
Specifically, different types and different numbers of sensors are selected and arranged at different preset positions of the battery, and on the basis that the above technical effects of the embodiments of the present disclosure can be achieved, a person skilled in the art can arbitrarily set the sensors as needed, which is not specifically limited by the present disclosure.
As shown in fig. 5(a), 5(b) and 5(c), the sensors are placed in a single battery in three different ways, which are only an example and not limited to the three ways.
As shown in fig. 6, the sensor is disposed in the battery pack, which is only an example and not limited to the above-mentioned manner.
Further, a plurality of sensors 100 can be installed at each critical position of the battery pack/battery of the electric vehicle, so as to obtain the state information of the battery, and the installation number and types of the sensors and the installation positions of the sensors can be autonomously arranged according to the battery of different application scenarios and the application requirements of different users. As an example, a plurality of different sensors are first installed in a battery unit of an electric vehicle, the installation positions of the sensors 100 are shown in fig. 4, including the key positions of the inside, the outer casing, the positive electrode, the negative electrode, and the like of a single battery, and 3 pressure sensors, 3 temperature sensors, and 1 gas sensor are respectively arranged on the single battery in fig. 4 (the number of the sensors may be one or more according to actual conditions).
The transmission module 200 is used for transmitting the plurality of state information of the battery pack/battery to the data fusion processing module 300.
It can be understood that, when the electric vehicle works, the sensor unit transmits the monitored state information of the battery pack unit to a user terminal (such as a mobile phone of a user, a computer and the like) through the transmission module, and the user terminal uploads the monitored information to the cloud server.
The data fusion processing module 300 is configured to perform data fusion processing on the plurality of pieces of state information of the battery pack/battery, and generate fusion state information of the battery pack/battery.
Further, the cloud server is configured to receive a plurality of state information of the battery pack/battery uploaded by the user terminal in a wired manner or a wireless manner (e.g., a mobile communication manner, a wide area network manner, etc.).
The data fusion processing module 300 is disposed on a cloud server, the cloud server includes a cloud database, the cloud database is used for storing a plurality of state information data of the battery pack/battery used by the user, and the cloud server is used for performing data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module 300 to generate fusion state information of the battery pack/battery.
Specifically, the cloud server judges the working state of the battery through model identification and algorithm calculation (such as algorithms of neural network, machine learning and the like).
As another implementation manner, the data fusion processing module 300 is disposed on a user terminal, and the user terminal is configured to receive the plurality of state information of the battery pack/battery sent by the transmission module 200, and perform data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module 300 to generate the fusion state information of the battery pack/battery.
As another implementation manner, the data fusion processing module 300 is disposed on the battery pack/battery, and the battery pack/battery is configured to receive the plurality of state information of the battery pack/battery sent by the transmission module 200, and perform data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module 300 to generate the fused state information of the battery pack/battery.
The early warning module 400 is configured to identify a working state of the battery pack/battery according to the fusion state information, and execute a preset protection strategy when the working state of the battery pack/battery is determined to be abnormal, where the warning includes one of automatic warning, whistling, and flashing early warning behaviors; executing the preset protection policy includes: the power supply is cut off. The method specifically comprises the following steps:
the early warning module 400 is disposed on the user terminal, and the result processed by the data fusion processing module is transmitted to the user terminal (such as a mobile phone of the user, a computer, etc.), and the user terminal can display the fusion state information of the battery pack/battery on the real-time display interface, so that the user can know the fusion state information of the battery in real time. If the information is abnormal, the early warning module can immediately make early warning behaviors such as alarming, sounding, flashing and the like. Meanwhile, the user terminal sends the abnormal information to the battery pack unit, and the battery pack unit can perform protection actions such as power supply cut-off and the like.
As another implementation manner, the early warning module 400 is disposed on the battery pack/battery unit, and the result processed by the data fusion processing module is transmitted to the battery pack/battery unit, and if the information is abnormal, the early warning module can immediately perform early warning actions such as warning, sounding, flashing and the like. Meanwhile, the battery pack/battery unit can perform protection actions such as power supply cut-off and the like.
In another implementation manner, a plurality of sensors, such as a temperature sensor, a pressure sensor, a gas sensor, and the like, are disposed at a plurality of key positions of a battery pack/cell of an electric vehicle, and the plurality of sensors are used to monitor battery pack/cell information, for example, when a person takes the electric vehicle, the pressure condition of the body and a plurality of battery packs/cells of the electric vehicle is monitored through the pressure sensor, or when the electric vehicle is parked outside for a long time, the body is in a high temperature or humid condition, a certain damage may be caused to the battery pack/cell inside the vehicle, the temperature or humidity condition of the battery pack/cell is monitored through the temperature or humidity sensor on the battery pack/cell in real time, or when the electric vehicle is traveling at a high speed, the temperature or humidity condition of the battery pack/cell is monitored through the gas or pressure sensor, pressure information and gas flow rate information of the battery pack/battery inside the electric vehicle. The battery pack/battery of the electric bicycle and other vehicles are monitored in real time in different environments, data fusion is carried out on various state information monitored by the sensor, the fusion information is fed back to the user terminal/cloud end, meanwhile, the user terminal sends monitored abnormal information to the battery pack/battery, an early warning system on the battery pack/battery timely executes strategies under abnormal conditions, such as automatic alarming, chirping, flashing and the like, can automatically cut off a power supply and other protective measures, and informs a user. Through the real-time monitoring of multiple types and quantities of sensors to the battery pack/battery, the safety of the electric automobile during parking is guaranteed, and the personal safety is guaranteed during driving.
According to the intelligent battery monitoring and early warning system based on multiple types and multiple quantity sensors, the multiple types and multiple quantity sensors are adopted for early warning and monitoring, so that the safety performance of the battery can be effectively evaluated, and the reliability of the early warning system is improved; the accuracy of measuring parameters such as the temperature and the pressure of the battery by adopting various and numerous sensors is high, and the accuracy of monitoring and evaluating the safety performance of the battery can be improved; the information monitored by the sensor is subjected to data fusion processing, so that the safety performance of the battery can be evaluated in all directions; and a cloud database is established for the information in various aspects obtained by sensing, so that the establishment and identification of a battery safety performance model are facilitated.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art without departing from the scope of the present invention.

Claims (10)

1. The utility model provides an intelligent battery monitoring early warning system based on multiple type, most quantity sensor which characterized in that includes:
a plurality of sensors disposed at a plurality of critical locations of the battery/cell, the plurality of sensors for acquiring a plurality of status information of the battery/cell, wherein the plurality of sensors include different kinds of sensors;
the transmission module is used for transmitting the state information of the battery pack/battery to the data fusion processing module;
the data fusion processing module is used for carrying out data fusion processing on the plurality of state information of the battery pack/battery to generate the fusion state information of the battery pack/battery;
the early warning module is used for identifying the working state of the battery pack/battery according to the fusion state information, alarming and executing a preset protection strategy when the working state of the battery pack/battery is determined to be abnormal; the alarm comprises one of automatic alarm, buzzing and flash early warning behaviors; the executing the preset protection policy comprises: the power supply is cut off.
2. The multi-category, multi-quantity sensor based intelligent battery monitoring and warning system of claim 1, wherein the different categories of sensors include: at least two of a temperature sensor, a pressure sensor, a gas sensor, a force and deformation sensor, a humidity sensor, a chemical sensor, an inertial sensor.
3. The intelligent battery monitoring and early warning system based on multiple types and quantities of sensors as claimed in claim 1, wherein the sensors of different types are processed and manufactured by adopting a precise process, and the process comprises the following steps: one or more of MEMS process, NEMS process micro-nano process, thick film process and microelectronic process.
4. The multi-species, multi-quantity sensor based intelligent battery monitoring and warning system of claim 1, wherein the key locations include key locations of up, down, left, right, inside of the battery pack and one or more of inside, housing, positive, negative locations of individual batteries;
the arrangement mode of the batteries and the installation positions of the sensors can be arranged in a self-adaptive mode aiming at batteries of different models, wherein the batteries comprise one of lithium batteries, lead-acid storage batteries, dry batteries, fuel batteries and sodium ion batteries;
the installation number of the sensors is autonomously arranged according to batteries of different application scenes and application requirements of different users.
5. The intelligent multi-type and multi-quantity sensor-based battery monitoring and warning system as claimed in claim 1, further comprising:
and the data fusion processing module is arranged on the user terminal, and the user terminal is used for receiving the plurality of state information of the battery pack/battery sent by the transmission module and performing data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module to generate the fusion state information of the battery pack/battery.
6. The intelligent multi-type and multi-quantity sensor-based battery monitoring and warning system as claimed in claim 5, further comprising: a cloud server;
the cloud server is used for receiving a plurality of state information of the battery pack/battery uploaded by the user terminal in a wireless mode or a wired mode;
the data fusion processing module is arranged on the cloud server, the cloud server comprises a cloud database, the cloud database is used for storing a plurality of state information data of the battery pack/battery used by a user, and the cloud server is used for performing data fusion processing on the plurality of state information of the battery pack/battery through the data fusion processing module to generate fusion state information of the battery pack/battery.
7. The intelligent battery monitoring and warning system based on multiple kinds and quantities of sensors as claimed in claim 5,
and the user terminal is also used for displaying the fusion state information of the battery pack/battery on a display interface.
8. The intelligent multi-category and multi-quantity sensor-based battery monitoring and early warning system as claimed in any one of claims 1 to 6,
the data fusion processing module is further configured to perform feature extraction on each state information of the battery pack/battery, perform pattern recognition according to the extracted features, perform feature fusion on the plurality of state information according to one or more ways of fuzzy inference, neural network and machine learning algorithm, and generate the fusion state information of the battery pack/battery.
9. The multi-type and multi-quantity sensor based intelligent battery monitoring and early warning system as claimed in claim 1, further comprising an integrated chip module for integrating the plurality of sensors, the transmission module, the data fusion processing module and the early warning module on a chip and applying to the system, and further for integrating the plurality of sensors on a chip and applying to the system.
10. The intelligent battery monitoring and early warning system based on multiple types and quantities of sensors as claimed in claim 1, wherein the transmission mode of transmitting the multiple state information to the data fusion processing module comprises: ZigBee, RFID, NFC, Bluetooth technology, mobile communication network wireless technology and wired technology.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115598559A (en) * 2022-12-16 2023-01-13 深圳市云帆自动化技术有限公司(Cn) Intelligent UPS battery health state monitoring system
CN116923189A (en) * 2023-09-12 2023-10-24 浙江华宇钠电新能源科技有限公司 Sodium ion battery BMS system and electric vehicle based on same

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115598559A (en) * 2022-12-16 2023-01-13 深圳市云帆自动化技术有限公司(Cn) Intelligent UPS battery health state monitoring system
CN115598559B (en) * 2022-12-16 2023-03-14 深圳市云帆自动化技术有限公司 Intelligent UPS battery health state monitoring system
CN116923189A (en) * 2023-09-12 2023-10-24 浙江华宇钠电新能源科技有限公司 Sodium ion battery BMS system and electric vehicle based on same

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