DESC:Technical Field
[0001] The embodiments herein generally relate to monitoring multi-cell batteries, and, more particularly, Li-Ion family batteries and especially large capacity batteries which are generally used in electric vehicles, but not limited to.
Description of the Related Art
[0002] With rising pollution level, the world is shifting to electric vehicles. With advances in multi-cell battery technology, the buses, trucks will be also going to run on electric power. To support these heavy load applications and long haul, the batteries need to be really large capacity. Being the battery cells work on chemical reaction, it is not well understood. Its life prediction models are not very well evolved yet.
[0003] Each multi-cell battery is closely controlled by Battery Management System (BMS). BMS helps for safer operation and improving longevity of the battery.
[0004] To make batteries a reliable replacement for the robust internal combustion engines, it should be closely monitored during its operation. Therefore, there has been research in health monitoring of batteries. These health monitoring systems are generally based on comparing the battery discharge rate against that of healthy batteries. The current, voltage and temperature sensors are the key sensors used for the same.
[0005] Generally, measurement of current, voltage are done at the module level (a group of cells) and few temperature sensors (thermocouple) are placed inside the battery pack. But, for large capacity battery we need several sensors for monitoring. It needs multi-channel electronics to acquire the data. Overall with large capacity, the electronics become expensive and complex.
[0006] Also, generally measurements are done at module level and doesn’t give good idea of the health of each cell.
[0007] There remains a need of having a simpler system, wherein components are less and gives the better temperature profile across the battery. A system which can help for monitoring health of each cell.

SUMMARY
[0008] In view of the foregoing, an embodiment herein provides a system for monitoring a health of each cell in a multi-cell battery. The system comprises a plurality of sensors, a hard-wired battery management system, a health monitoring system and a server. The plurality of sensors senses information associated with each cell in the multi-cell battery. The plurality of sensors comprises a current sensor, an infrared camera which measures temperature, a voltage sensor and an acoustic sensor. The hard-wired Battery Management System manages the safer operation and cell balancing of the multi-cell battery for improving the life of the multi-cell battery. The health monitoring system that is configured to (i) receive current data, temperature data, voltage data and acoustic data from the plurality of sensors, (ii) determine a state of charge (SOC) of each cell in the multi-cell battery based on the voltage data, (iii) calibrate the current sensor if a counter associated with the current data exceeds a first threshold value, (iv) disconnect the load of the multi-cell battery if the temperature exceeds a second threshold value or if the frequency content comprising sparking sound exceeds a third threshold value, and (v) generate a dataset with the SOC, the temperature data, the counter associated with the current data and the acoustic data that exceeds their corresponding threshold value. The server receives the dataset and analyse the dataset to determine the health of each cell of the multi-cell battery by (i) classifying the dataset at a cell level data by calibrating the dataset in different loading conditions, (ii) computing a discharge rate by analyzing the cell level data for different loading conditions, and (iii) determining a health condition of each cell based on the discharge rate.
[0009] In another embodiment, the system comprises a gantry that traverses on the multi-cell battery in a horizontal plane. The gantry comprises a slide (102A) and a slide (102B). The slide (102A) moves in Y-direction and the slide (102B) moves in X-direction, with a platform to reach every cell of the multi-cell battery for sensing information using the current sensor and the infrared camera, wherein the current sensor and the infrared camera are mounted on the platform of the slide.
[0010] In another embodiment, the current sensor measures a current passing through a conductor of each cell of the multi-cell battery, the infrared camera captures the temperature data, the voltage sensor measures the SOC of each cell of the multi-cell battery and the acoustic sensor detects a sparking sound by capturing sounds and performing a frequency analysis and time-based analysis.
[0011] In another embodiment, the system comprises a wireless module for communicating the sensed information and the dataset. The wireless module comprises a first wireless module and a second wireless module. The first wireless module communicates sensed information from the plurality of sensors to the battery management unit and the second wireless module communicates the dataset from the battery management unit to the server.
[0012] In another embodiment, the health monitoring system comprises a gantry control. The gantry control controls a movement of the slide (102A) in the Y-direction and the slide (102B) in the X-direction to move the platform to reach a desired cell by driving a stepper motor.
[0013] In another embodiment, the dataset is communicated to the server in a format. The format comprises the information associated with a battery ID, a timestamp, a co-ordinate of the platform, the current data and the temperature data.
[0014] In another embodiment, the system processes the dataset using a data processing technique before sending the dataset to the server. The data processing technique comprises the steps of averaging and data filtering the dataset for removing the noise. Also, it finds out useful information at the optimal accuracy to minimize the bandwidth required for data transfer from electronic board to server.
[0015] In another embodiment, the server performs at least one of calibration on gantry sensors or determination of probable fast degrading cells by analysing the dataset.
[0016] In an aspect, a method for monitoring a health of each cell of a multi-cell battery. The method comprises (i) operating a platform of a slide (102B) and a slide (102A) using a gantry control, (ii) measuring a current data and a temperature data of the multi-cell battery using a current sensor and an infrared camera, (iii) communicating the measured data of the plurality of sensors to a health monitoring system wirelessly using a first wireless module, (iv) measuring a SOC of each cell of the multi-cell battery using a voltage sensor of the battery management unit, (v) measuring a sparking sound using an acoustic sensor, (vi) communicating a dataset of the battery management unit to a server in a format , using a second wireless module, (vii) storing the dataset in the server using the format, (viii) classifying a cell level data by calibrating in different loading conditions, using the dataset of the health monitoring system, (ix) determining, using the cell level data by analyzing in different cycles, a health condition of each cell based on a discharge rate, and (x) analysing, a remaining useful life of the multi-cell battery.
[0017] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.

BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:
[0019] FIG. 1 illustrates a block diagram of a health monitoring system for monitoring multi-cell battery according to an embodiment herein;
[0020] FIG. 2 illustrates a close-up view of a current sensor and an infrared camera that are mounted on a gantry according to an embodiment herein;
[0021] FIG. 3 illustrates a schematic of a working principle of a Hall based current sensor according to an embodiment herein;
[0022] FIG. 4 illustrates a schematic output of the infrared camera after processing according to an embodiment herein;
[0023] FIG. 5 illustrates a graphical representation of a band pass filter for spark sound for getting meaningful signature to check presence of spark according to an embodiment herein;
[0024] FIG. 6 illustrates a flowchart that discloses a process carried out at an electronic board mounted on the battery according to an embodiment herein;
[0025] FIG. 7 illustrates the data to be sent to cloud and its format according to an embodiment herein;
[0026] FIG. 8 illustrates a graphical representation of a lookup table used for finding a voltage of a cell from current contribution according to an embodiment herein;
[0027] FIG. 9 illustrates a schematic of a mPnS battery configuration and individual current calculation from current sensor reading from gantry according to an embodiment herein;
[0028] FIG. 10 illustrates a graphical representation of an estimation of SOC of each cell from voltage according to an embodiment herein;
[0029] FIG. 11 illustrates a graphical representation of a metric to be evaluated for examine the health of a cell according to an embodiment herein; and
[0030] FIG. 12 illustrates a process performed at cloud to monitor the health of each cell according to an embodiment herein.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
[0031] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0032] As mentioned, there remains need for a simpler health monitoring system which will do the cell level diagnostic for multi-cell battery. The embodiments herein achieved this by providing a gantry mounted current and temperature sensors and enumerate procedures for cell level analysis. Referring now to the drawings, and more particularly to FIGS. 1 through 12, where similar characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.
[0033] FIG. 1 illustrates a block diagram of a health monitoring 119 system that monitors a multi-cell battery according to an embodiment herein. The health monitoring 119 system includes a specific mechanical system, a specific electronic design and a specific data analysis. The specific mechanical design includes a gantry on which mechanical slides 102A and 102B will be moving. The slide 102A moves in Y-direction. Top of slide 102A, the slide 102B is mounted. On the slide 102B, the platform 103 moves. The platform 103 is used for mounting a current sensor 104 and an infrared camera 105. With this mechanical design, the sensors can traverse anywhere on top of the battery. The whole health monitoring 119 is enclosed in an enclosure 117. In the center of the enclosure 117, from inside an acoustic sensor 116 is mounted. Light weight current sensor and infrared sensors are used and it makes the load coming on gantry is very less. The design of gantry is traditional mechanical design. For the slides 102A and 102B, a ball screw may be used for smooth motion. As without much load and with ball, the power consumption may be very less.
[0034] The specific electronics design enables the processing of the data collected from the infrared camera, on main board 106 and processing of a dataset on server at cloud. The battery is equipped with regular hard-wired Battery Management System (BMS) 107. It takes care of safer operation and cell balancing for improving life. The main electronics board 106 consist of a regular BMS 107, processor 109 for local processing, a memory 118, wireless modules 108A and 108B and a gantry control 110. Generally, the current and voltage sensors used in BMS 107 are embedded in electronics. To achieve required voltage and capacity, the cells are put in series and parallel respectively. BMS sensors are generally module level and wires are coming from a part of or full of parallel or series groups. Thermocouples 113, the temperature sensors also mounted on the surface of the battery and connected with regular BMS 107. The current sensor 104, the IR sensor 105, the acoustic sensor 116, the processor 109, the memory 118, the wireless modules 108A and 108B, the gantry and the gantry control 110 are grouped together to form the health monitoring system 119. Wireless module 108A does wireless communicates between gantry sensors and main electronic board 106. Another wireless module 108B communicates between main board and server on the cloud. The wireless technology used for communication may be at least one of but not limited to Bluetooth, WIFI, or, 3G-4G network etc.
[0035] The data processing happens at three places. The first at the gantry level. The data captured at IR camera may be having very good resolution and the embodiment doesn’t need that amount of resolution. To make the system efficient, fair resolution data is captured and send it to main board. As the communication between gantry sensors and main board is wireless, it is having limited bandwidth.
[0036] The second data processing happens at main board 106 and it is of the good level of the complexity. A typical data processing and decisions taken at local BMS is illustrated in FIG. 6. The decisions of putting off the battery load are taken in critical situations to avoid safety breach.
[0037] The prognosis analysis is mainly done on server at the cloud. In the embodiment, the tasks performed at server are given in FIG. 12. The tasks included are calibration of gantry sensors, data analysis and finding probable fast degrading cells, build the battery model etc.
[0038] The Gantry control 110 controls the movement of the slides to make gantry sensors move to desired place. This control can be with or without feedback with rest of the system. This is basically driving the stepper motors of the slides.
[0039] FIG. 2 illustrates a close-up view of a current sensor and an infrared camera that are mounted on a gantry according to an embodiment herein. As shown in FIG. 2, nickel strip or equivalent conductive material used for battery terminals’ welding in series and parallel. There is a vertical extension 112B is required for measuring current using HALL current sensor as shown in FIG. 3. The infrared sensor 105 and Hall based current 104 are mounted side by side on a platform resting on the slides 102B. These sensors are having the degrees of freedom in horizontal plane and along vertical axis. The degrees of freedom in vertical direction is required to ensure that vertical extension 112B is coming between two prongs of the current sensor. In the embodiment, the exact alignment of current sensor can be achieved by preset position in the gantry control program, or it can be done more adaptively by putting little more intelligent system. It can be done by capturing image by an additional camera and doing its image processing.
[0040] In the embodiment, Hall based current sensor 104 is used. This is a contactless sensor. FIG. 3 illustrates a schematic of a working principle of Hall based current sensor. The sensor measures the current passing through the conductor 304. i.e. Ip. There is a secondary core 301 around which secondary winding is wound. The working principle of the sensor is based on balance of magnetic flux generated by the primary current (Ip) by current generated in the secondary winding. The current in the secondary coil is controlled by additional circuitry, which gives current 302. The sensor output Hall voltage 303 is produced, which is proportional to the Ip. In the embodiment, Ip will be measured. It is the current passing through the vertical extension 112B.
[0041] FIG. 4 illustrates a schematic output of the infrared camera after processing according to an embodiment herein. Generally, the output of the camera is discrete and it is in the order of 100,000 pixels for close proximity image. This is the redundant data and need to be minimized. As the data from the gantry sensor is wirelessly send to the main board 106, the retrieving the meaningful data processing is done on the processor at the gantry. To the embodiment here, the temperature data will be captured at the square mesh size of say 2-5mm. The counter plot for this data would be something like shown in FIG. 4. There are lines of constant temperature 401 and highest temperature region is shown by 402.
[0042] In an embodiment, sparking detection is done using acoustic sensor 116. The acoustic sensor will be capturing all audible sound and need to find out if there any sparking sound. Identification of sparking sound is done using frequency and temporal analysis. For frequency analysis, the general filter is shown in FIG. 5. This is a bandpass filter and the band is limited by frequency fL 502 and fH 503. If the amplitude of frequency content is more than threshold 501, then it is identified as an electric spark. As the general sound may content some frequency content in band-pass zone, but it will be dominant in spark and there is a need of threshold.
[0043] FIG. 6 illustrates a flowchart that discloses a process carried out at the electronic board mounted on the battery according to an embodiment herein. When the electric vehicle, but not necessarily, or an equipment which runs on battery is put on, the health monitoring 119 system should start. The first thing is to initialize two counters 601. The Counter1 and Counter2 are set to zero. The Counter1 is used for setting time interval for calibrating current sensor 104. The Counter2 is used for setting time interval for sending data to the server 111 from main board 106.
[0044] An embodiment requires initial State of the Charge (SOC) measurement 602 of the battery 101 from hard-wired BMS 107. Though the hardwired BMS does very few module level measurements, but those are much accurate for estimating the SOC of the battery. The SOC is later used for getting battery level current. The SOC measurements should be done before full load comes on the battery. Generally, SOC measurement is done by measuring the battery voltage. Generally, there is a good co-relation between SOC and battery voltage and lookup table is maintained for measuring SOC from voltage. Once SOC measurement is done, the patrolling of the current sensor and infrared camera starts. Data acquisition starts from current sensor, IR camera and acoustic sensor.
[0045] An embodiment herein is after every certain interval calibration of current sensor happens 603. The gantry HALL based current sensor is not very accurate and it is better to calibrate it after every certain interval. A specific procedure is used for calibration of gantry current sensor. The current measurements from gantry current sensor is used for calculating equivalent module level current against which similar measurement from hardwired BMS 107 is compared. This would be done at different current level and calibration would be done.
[0046] The IR sensor 116 is quite accurate and we can use it for taking a decision on putting off the battery load. The threshold value will be decided based on the highest operation temperature specification of the cell. As mentioned earlier, the data processing of the IR sensor would be done and if found the highest temperature is more than the threshold value, disconnect the battery load 604.
[0047] An embodiment herein is detection of spark using acoustic sensor and disconnect the load 605. The specific procedure followed for the same is as follows. Get the acoustic sensor data and perform frequency based or time-based analysis to identify the presence of spark. This can be done using either frequency analysis or wavelet like techniques. In the frequency analysis, band pass filter is used for separating spark signature from rest of the noise. As mentioned earlier, in FIG. 5 if there is a spark the frequency content of the signature will be dominant in the band frequency range. If it is more than the threshold value, it confirms the presence of spark. An extensive experimental analysis is to be carried out to identify the threshold value 501. Another specific method can be used is wavelet analysis. The wavelets provide more accurate localized temporal and frequency information and useful for identifying the spark.
[0048] As an embodiment herein, the data processing is done before sending it to server over cloud 606. The data processing required averaging, data filtering for removing the noise is required. The filtering techniques can be at least one or more from low pass, high pass, band-pass filtering. An embodiment herein requires the quality data to be sent to server considering the prognosis analysis to be done. Also, it is important from the bandwidth consumption perspective. The data send should cover the critical loading conditions and whole range of the operation. The datasets include data from gantry sensors, current sensor 104 and IR camera 105, acoustic sensor 116 and data of the hardwired BMS 107. More experiments and analysis should be done to come up with the frequency at which the data should be sent. In additional to the set frequency, the data should be captured for critical loading conditions, like the current is drawn to its maximum capacity, the temperature is reaching maximum limits etc. Also, the data should be captured when the vehicle is getting stopped 607. The data should be sent whenever the decision of stopping the vehicle is done based on temperature or spark prediction.
[0049] As an embodiment herein, FIG. 7 illustrates the data should be send to server and its format. The data to be sent are battery sensor data 702 and Hardwired BMS data 704. The data to be sent should include battery ID 701, timestamp at which the data is captured, the co-ordinates of the platform 103, on which the sensors are mounted, current and temperature. As mentioned earlier, the temperature data is given at the mesh points as shown in 703. The image would cover an area of the battery top and it can be meshed with size of 2-5mm and data is captured at each mesh point. Another set of data is from Hardwired BMS 704. As mentioned earlier, the data is captured at module level. The module 705 should be mentioned in order to do further processing. The data captured from hardwired BMS include current, voltage, temperature data and its sensor number. The embodiment requires the location of the temperature sensor in the fixed database for each battery type. Battery ID 701 helps for storing the data at appropriate log in archive.
[0050] There is a specific procedure to find out the SOC measurement from gantry current sensor measurement and hardwired BMS measurement. Generally, SOC of the battery or cell is estimated based on voltage measurement. For every battery/ cell there is a correlation between SOC level and battery voltage. Therefore, for a battery or of a module of the battery, it can be readily done using BMS data. But, as hardwired BMS data is unavailable at cell level and SOC estimation cannot be done. There is a novel method is provided, one of embodiments here.
[0051] As in an embodiment herein, FIG. 8 illustrates a graphical representation of a lookup table used for finding the voltage of a cell from current contribution. The independent (X) axis of the table is Current contribution, which is measured in percent and dependent (Y) axis is voltage of the cell. The current contribution will be dependent on SOC level of the battery/ module and loading condition. Therefore, the lookup captures several scenarios based on SOC level of the battery/ module and at different load conditions. The current contribution from each cell is found out from the gantry sensor measurement and cell configuration in the battery. Then SOC of the battery/module can be found out from the hardwired BMS measurement. Also, load is measured from BMS data. Once all three things known, the voltage of the cell can be found out. FIG. 8 gives schematic representation of the lookup table. Lines 801 and 802 gives the voltage variation with current contribution. In the sketch, the loading range is shown from 0.25C to 2C, where C is nominal capacity of the cell. Depending on the cell specification, this range can be bigger. The lookup table is captured for SOC range 50% to 100%. This range can be different for different make and application batteries. This lookup can be developed by conducting several experiments on a similar module used in battery pack. These experiments should be conducted at different levels of module SOC. As well as experiments should be conducted when cells are at different charge levels. Once this data is collected, it can be stored in lookup table format.
[0052] FIG. 9 illustrates a schematic of a mPnS battery configuration and individual current calculation from current sensor reading from gantry according to an embodiment herein. The multi-cell batteries built with small cells, which are having voltages like 3.6V and approximately 3A capacity. To achieve Operating voltage range of devices, individual cells should be put in parallel and series. The series combination helps for building the required voltage, while parallel combinations helps for building the capacity of battery.
[0053] FIG. 9 shows the current measurements done on the battery. The gantry current sensor measures the current ILij 901 corresponding to ith battery in parallel and which is a part of jth series configuration. Depending on parallel-series or series-parallel, the module gets defined. For the configuration considered here, for parallel-series configuration, the module is built of cells in parallel. For the prognosis analysis the current of interest is Ik. The hardwired BMS measures IMi 903. When load is applied, one can easily trace the direction of the current. Based on the same principle battery current can be found out. For given configuration, the cell current can be found from line current as follows:
I1 = ILij, I2 = IL21 - IL11 , etc.
IM1_calculated = I1 + I2 + I3… + Im, , … etc.
Therefore IM1_calculated from gantry sensor and IM1 as a reference from the hardwired BMS can be used for calibration of gantry sensor. Once cell currents Ii s calculated, the percent contribution from each cell can be easily calculated as follows:
I1_perc = Ii /sum(I1+ I2 +I3 +……Im ), etc.
[0054] As mentioned earlier, as an embodiment herein, from cell current contribution and knowing SOC level of battery/ module and load, the voltage of each can be calculated (FIG. 8). FIG. 10 illustrates a graphical representation of cell level SOC estimation from cell voltage. The manufacturer provides Voltage vs SOC variation 1001, or if it not there it can be found experimentally. Once for a ith cell level voltage, Vi 1002 is known, using Voltage vs SOC lookup 1001, the cell level SOCi 1003 can be found out.
[0055] FIG. 11 illustrates a graphical representation of a metric to be evaluated for examine the health of a cell according to an embodiment herein. As mentioned earlier, the SOC level of each cell can be calculated after certain time intervals during discharging operation. From there the rate of discharge can be found out for each cell. If the data is plotted, it would look as in FIG 11 herein. If there is any unhealthy cell 1102, it will discharge rapidly. The threshold should be set relative to slower discharge cells to identify the cells need replacement, attention. The threshold can be in terms of a ratio, the discharge rate of fast cells to the discharge rate of on average battery 1101.
[0056] FIG. 12 illustrates a process performed at cloud to monitor the health of each cell according to an embodiment herein. The data sent from battery would be stored in database based on battery ID 1201. The data is available from gantry sensors and hardwired BMS and gantry sensors can be calibrated as discussed embodiment herein 1202. Classify data into different loading conditions and process the data for further analysis 1203. As discussed here, plot the data for different loading cycles and identify unhealthy cells based on discharge rate 1204. With historical datasets, the trending analysis should be done to evaluate the performance degradation of unhealthy cells over time 1205. Once the performance is degrading to the threshold value, depending on business strategy the notification should be send to individual, supplier 1208. As an embodiment herein, further useful analysis can be done. The data can be collected across batteries and analyzed, which will insight about the quality of the cells from a particular manufacturer or supplier. It can be critical for sourcing 1206. The data would be useful for building battery model. These models will be parametric and parameters may be changing with aging of the battery. This is useful data for predicting distance can be covered with the available charge. It can be useful for finding remaining useful life (RUL) and taking decision on battery warranty 1207.
[0057] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the claims.
,CLAIMS:We claim:

1. A system for monitoring a health of each cell in a multi-cell battery (101), wherein the system comprises:
a plurality of sensors that senses information associated with each cell in the multi-cell battery (101), wherein the plurality of sensors comprises a current sensor (104), an infrared camera (105) which measures temperature, a voltage sensor and an acoustic sensor (116);
a hard-wired Battery Management System (107) that manages the safer operation and cell balancing of the multi-cell battery (101) for improving the life;
a health monitoring system (119) that is configured to:
receive current data, temperature data, voltage data and acoustic data from the plurality of sensors,
determine a state of charge (SOC) of each cell in the multi-cell battery (101) based on the voltage data,
calibrate the current sensor (104) if a counter associated with the current data exceeds a first threshold value,
disconnect the load of the multi-cell battery (101) if the temperature exceeds a second threshold value or if the frequency content comprising sparking sound exceeds a third threshold value, and
generate a dataset with the SOC, the temperature data, the counter associated with the current data and the acoustic data that exceeds their corresponding threshold value; and
a server (111) that receives the dataset and analyse the dataset to determine the health of each cell of the multi-cell battery (101) by
classifying the dataset at a cell level data by calibrating the dataset in different loading conditions,
computing a discharge rate by analyzing the cell level data for different loading conditions, and
determining a health condition of each cell based on the discharge rate.

2. The system as claimed in claim 1, wherein the system comprises a gantry (102) that traverses on the multi-cell battery (101) in a horizontal plane, wherein the gantry (102) comprises a slide (102A), which moves in Y-direction and a slide (102B), which moves in X-direction, with a platform (103) to reach every cell of the multi-cell battery (101) for sensing information using the current sensor (104) and the infrared camera (105), wherein the current sensor (104) and the infrared camera (105) are mounted on the platform (103) of the slide (102B).


3. The system as claimed in claim 1, wherein the current sensor (104) measures a current passing through a conductor of each cell of the multi-cell battery (101), the infrared camera (105) captures the temperature data, the voltage sensor measures the SOC of each cell of the multi-cell battery (101) and the acoustic sensor (116) detects a sparking sound by capturing sounds and performing a frequency analysis and time-based analysis.


4. The system as claimed in claim 1, wherein the system comprises a wireless module for communicating the sensed information and the dataset, wherein the wireless module comprises a first wireless module (108A) and a second wireless module (108B), wherein (i) the first wireless module (108A) communicates sensed information from the plurality of sensors to the battery management unit (107) and (ii) the second wireless module (108B) communicates the dataset from the battery management unit (107) to the server (111).


5. The system as claimed in claim 2, wherein the health monitoring system (119) comprises a gantry control (110) that controls a movement of the slide (102A) in the Y-direction and the slide (102B) in the X-direction to move the platform (103) to reach a desired cell by driving a stepper motor.


6. The system as claimed in claim 1, wherein the dataset is communicated to the server (111) in a format, wherein the format comprises the information associated with a battery ID (701), a timestamp, a co-ordinate of the platform (103), the current data and the temperature data.


7. The system as claimed in claim 1, wherein system processes the dataset using a data processing technique before sending the dataset to the server (111), wherein the data processing technique comprises the steps of averaging and data filtering the dataset for removing the noise. Also, it finds out useful information at the optimal accuracy to minimize the bandwidth required for data transfer from electronic board (106) to server (111).


8. The system as claimed in claim 1, wherein the server (111) performs at least one of calibration on gantry sensors or determination of probable fast degrading cells by analysing the dataset.

9. A method for monitoring a health of each cell of a multi-cell battery (101), wherein the method comprises,
operating, using a gantry control (110), a platform (103) of a slide (102B) and a slide (102A);
measuring, using a current sensor (104) and an infrared camera (105), a current data and a temperature data of the multi-cell battery (101);
communicating, using a first wireless module (108A), the measured data of the plurality of sensors to a health monitoring system (119) wirelessly;
measuring, using a voltage sensor of the battery management unit (107), a SOC of each cell of the multi-cell battery (101);
measuring, using an acoustic sensor (116), a sparking sound;
communicating, using a second wireless module (108B), a dataset of the battery management unit (107) to a server (111) in a format;
storing, using the format, the dataset in the server (111);
classifying, using the dataset of the health monitoring system (119), a cell level data by calibrating in different loading conditions;
determining, using the cell level data by analyzing in different cycles, a health condition of each cell based on a discharge rate; and
analysing, a remaining useful life of the multi-cell battery.