CN117310499A

CN117310499A - Detection system for estimating state of battery device and operation method thereof

Info

Publication number: CN117310499A
Application number: CN202210727996.0A
Authority: CN
Inventors: 王锦生
Original assignee: Jiejin Co ltd
Current assignee: Jiejin Co ltd
Priority date: 2022-06-23
Filing date: 2022-06-23
Publication date: 2023-12-29

Abstract

The invention provides a detection system and an operation method. The detection system is used for estimating the declining state of the battery device. The detection system comprises a first operation circuit, a second operation circuit and a processor. The first operation circuit receives the voltage time sequence data of the battery device and calculates a first reference value of the battery device according to the voltage time sequence data. The second operation circuit receives the temperature time sequence data of the battery device and calculates a second reference value of the battery device according to the temperature time sequence data. The processor provides state data associated with the declining state according to the first reference value and the second reference value.

Description

Detection system for estimating state of battery device and operation method thereof

Technical Field

The present invention relates to a detecting system and an operating method for operating the detecting system, and more particularly, to a detecting system for estimating a state of a battery device and an estimating method for operating the detecting system.

Background

Battery devices are widely used in various aspects of daily life, such as car charging piles, cell grids, car batteries, and energy storage cabinets. The performance, state of charge (SOC) and safety of the battery device gradually deteriorate over a long period of use. Once the battery device's life reaches the end, the battery device may not be powered, or even fire. If the declining state of the battery device can be estimated, the manager can retire the battery device before the service life of the battery device reaches the end, so that the situations of incapability of supplying power, ignition, combustion and the like are avoided. Therefore, how to establish an estimation mechanism for estimating the degradation state of the battery device is one of the important points of the study of the skilled person.

Disclosure of Invention

The invention provides a detection system and an operation method thereof, which are used for estimating the declining state of a battery device.

The detection system is used for estimating the declining state of the battery device. The detection system comprises a first operation circuit, a second operation circuit and a processor. The first operation circuit receives the voltage time sequence data of the battery device and calculates a first reference value of the battery device according to the voltage time sequence data. The voltage timing data includes timing data of the battery device performing a plurality of discharge charge cycles. The second operation circuit receives the temperature time sequence data of the battery device and calculates a second reference value of the battery device according to the temperature time sequence data. The temperature timing data includes a temperature trend of the battery device over a plurality of discharge charge cycles. The processor is coupled to the first operation circuit and the second operation circuit. The processor receives the first reference value and the second reference value and provides state data associated with the declining state according to the first reference value and the second reference value.

The operation method of the invention is used for operating the detection system. The detection system is used for estimating the declining state of the battery device. The detection system comprises a first operation circuit, a second operation circuit and a processor. The operation method comprises the following steps: the method comprises the steps that voltage time sequence data of a battery device are received by a first operation circuit, and a first reference value of the battery device is operated according to the voltage time sequence data, wherein the voltage time sequence data comprise time sequence data of the battery device for carrying out multiple discharging and charging cycles; the second operation circuit receives temperature time sequence data of the battery device and calculates a second reference value of the battery device according to the temperature time sequence data, wherein the temperature time sequence data comprises a temperature trend of the battery device for carrying out multiple discharging and charging cycles; and providing, by the processor, state data associated with the degraded state according to the first reference value and the second reference value.

Based on the above, the detection system and the operation method of the present invention calculate the first reference value of the battery device according to the voltage time sequence data, calculate the second reference value of the battery device according to the temperature time sequence data, and provide the status data according to the first reference value and the second reference value. It should be noted that the voltage timing data is related to the trend of the state of charge (SOC) of the multiple discharge charge cycles. The temperature timing data is associated with a temperature trend for a plurality of discharge charge cycles. Thus, the state data may be associated with a degraded state of the battery device. In this way, the degradation state of the battery device can be estimated according to the state data.

In order to make the above features and advantages of the present invention more comprehensible, embodiments accompanied with figures are described in detail below.

Drawings

FIG. 1 is a schematic diagram of a detection system according to a first embodiment of the invention.

FIG. 2 is a schematic diagram of voltage timing data according to an embodiment of the invention.

FIG. 3 is a schematic diagram of temperature timing data according to an embodiment of the invention.

Fig. 4 is a flowchart of an operation method according to the first embodiment of the present invention.

FIG. 5 is a schematic diagram of a detection system according to a second embodiment of the invention.

Fig. 6 is a flowchart of an operation method according to a second embodiment of the present invention.

Description of the reference numerals

100. 200: detection system

110: first arithmetic circuit

120: second arithmetic circuit

130: processor and method for controlling the same

140: battery management controller

250: control platform

BD: battery device

C1-Cn: discharge charge cycle

CC 1-CCn: charging data

DC 1-DCn: discharge data

EV: evaluation data

EXD: external device

ITV1 to ITVn: integral value

RDT: temperature time series data

RDV: voltage time sequence data

RV1: first reference value

RV2: second reference value

S110 to S130: step (a)

S210 to S240: step (a)

SST: status data

t: time of

t (0) to t (n): time point

Temp 1-Temp n: temperature value

V: battery voltage

VT: critical value of

Detailed Description

Reference will now be made in detail to the exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the description to refer to the same or like parts.

Referring to fig. 1, fig. 1 is a schematic diagram of a detection system according to a first embodiment of the invention. In this embodiment, the detection system 100 is used for estimating the degradation state of the battery device BD. The detection system 100 includes a first operation circuit 110, a second operation circuit 120, and a processor 130. The first arithmetic circuit 110 receives the voltage timing data RDV of the battery device BD. In the present embodiment, the voltage timing data RDV includes timing data of the battery device BD subjected to a plurality of discharge charge cycles. The voltage timing data RDV is, for example, voltage raw data (raw data) in a plurality of discharge charge cycles. The first operation circuit 110 calculates a first reference value RV1 of the battery device BD according to the voltage sequence data RDV. The second arithmetic circuit 120 receives the temperature time series data RDT of the battery device BD. In the present embodiment, the temperature-series data RDT includes a temperature trend of the battery device BD for a plurality of discharge charge cycles. The temperature time series data RDT is, for example, temperature raw data in a plurality of discharge charge cycles. The second computing circuit 120 computes the second reference value RV2 of the battery device BD according to the temperature schedule data RDT.

In the present embodiment, the processor 130 is coupled to the first operation circuit 110 and the second operation circuit 120. The processor 130 receives the first reference value RV1 and the second reference value RV2, and provides status data SST associated with the degraded state of the battery device BD according to the first reference value RV1 and the second reference value RV2.

It should be noted that the first computing circuit 110 computes the first reference value RV1 of the battery device BD according to the voltage timing data RDV. The second computing circuit 120 computes the second reference value RV2 of the battery device BD according to the temperature schedule data RDT. The processor 130 provides the status data SST according to the first reference value RV1 and the second reference value RV2. The voltage timing data RDV is related to a trend of a state of charge (SOC) of a plurality of discharge charge cycles. The temperature timing data RDT is associated with a temperature trend of a plurality of discharge charge cycles. The SOC trend and the temperature trend are related to degradation and/or electrical aging of electrochemical energy inside the battery device BD. Thus, the state data SST is associated with the degraded state of the battery device BD. In this way, the degradation state of the battery device BD can be estimated according to the state data SST.

In the present embodiment, the battery device BD is provided in the external device EXD. For example, the external device EXD may be a device such as an energy storage cabinet (energy storage cabinet) or a charging pile (charging pile), but the invention is not limited thereto. The battery device BD is, for example, a high-voltage lithium battery module, but the invention is not limited thereto. The battery device BD includes at least one battery cell.

In this embodiment, the first computing circuit 110, the second computing circuit 120, and the processor 130 may be, for example, a neural network or artificial intelligence model, a central processing unit (Central Processing Unit, CPU), or other programmable general purpose or special purpose Microprocessor (Microprocessor), digital signal processor (Digital Signal Processor, DSP), programmable controller, application specific integrated circuit (Application Specific Integrated Circuits, ASIC), programmable logic device (Programmable Logic Device, PLD), or other similar devices or combinations thereof, respectively, which can load and execute the computer program.

In this embodiment, the detection system 100 further includes a battery management controller (battery management controller, BMC) 140. The battery management controller 140 communicates with the external device EXD to receive the voltage timing data RDV and the voltage timing data RDT of the battery device BD. The battery management controller 140 transmits the voltage timing data RDV to the first operation circuit 110, and transmits the temperature timing data RDT to the second operation circuit 120. Further, the battery management controller 140 can perform wired or wireless communication with the external device EXD to collect the voltage timing data RDV and the voltage timing data RDT of the battery device BD in real time, transmit the voltage timing data RDV to the first computing circuit 110, and transmit the temperature timing data RDT to the second computing circuit 120. Therefore, the detection system 100 can estimate the degradation state of the battery device BD in real time.

In addition, the battery management controller 140 can also communicate with other external devices to collect the voltage timing data RDV and RDT of the battery devices of the external devices in real time. In other words, the detection system 100 can estimate and monitor the degradation states of a plurality of battery devices in real time, and even estimate and monitor the degradation states of a plurality of battery devices at a plurality of points around the world.

Details of the implementation of the first computing circuit 110 to compute the first reference value RV1 will be described below. Referring to fig. 1 and fig. 2, fig. 2 is a schematic diagram of voltage timing data according to an embodiment of the invention. Fig. 2 illustrates voltage sequence data RDV of the battery device BD for performing discharge charge cycles C1 to Cn. The initial discharge charge cycle C1 is performed between the time point t (0) and the time point t (1). The voltage timing data in the discharging and charging cycle C1 includes discharging data DC1 and charging data CC1. The discharge data DC1 and the charge data CC1 are timings of voltage values, respectively. When the discharge charging cycle C1 ends, the first operation circuit 110 performs an integration operation on the voltage value of the discharge charging cycle C1 based on time to generate an integrated value ITV1 (i.e., an initial integrated value). In other words, the first operation circuit 110 performs an integration operation on the voltage value of the initial cycle (i.e., the discharge charge cycle C1) among the plurality of discharge charge cycles C1 to Cn based on time to generate an initial integrated value.

The discharge charge cycle C2 is performed between the time point t (1) and the time point t (2). The voltage timing data in the discharging and charging cycle C2 includes discharging data DC2 and charging data CC2. When the discharging and charging cycle C2 is completed, the first operation circuit 110 performs an integration operation on the voltage value of the discharging and charging cycle C2 based on time to generate an integrated value ITV2. At time point t (2), the integrated value ITV2 is the current integrated value.

The first arithmetic circuit 110 calculates the first reference value RV1 from the amount of decrease in the integrated value ITV2 (i.e., the current integrated value) with respect to the integrated value ITV1 (i.e., the initial integrated value) after the time point t (2).

The discharge charge cycle C3 is performed between the time point t (2) and the time point t (3). The voltage timing data in the discharging and charging cycle C3 includes discharging data DC3 and charging data CC3. When the discharging and charging cycle C3 is completed, the first operation circuit 110 performs an integration operation on the voltage value of the discharging and charging cycle C3 based on time to generate an integrated value ITV3. At time point t (3), the integrated value ITV3 is the current integrated value.

The first arithmetic circuit 110 calculates the first reference value RV1 from the amount of decrease in the integrated value ITV3 (i.e., the current integrated value) relative to the integrated value ITV1 after the time point t (3).

The discharge charge cycle C4 is performed between the time point t (3) and the time point t (4). The voltage timing data in the discharging and charging cycle C4 includes discharging data DC4 and charging data CC4. When the discharging and charging cycle C4 is completed, the first operation circuit 110 performs an integration operation on the voltage value of the discharging and charging cycle C4 based on time to generate an integrated value ITV4. At time point t (4), the integrated value ITV4 is the current integrated value. The first arithmetic circuit 110 calculates the first reference value RV1 from the amount of decrease in the integrated value ITV4 (i.e., the current integrated value) relative to the integrated value ITV1 after the time point t (4).

The discharge charge cycle Cn is performed between the time point t (n-1) and the time point t (n). The voltage timing data in the discharging and charging cycle Cn includes discharging data DCn and charging data CCn. When the discharge charging cycle Cn is ended, the first operation circuit 110 performs an integration operation on the voltage value of the discharge charging cycle Cn based on time to generate an integrated value ITVn. At time point t (n), the integrated value ITVn is the current integrated value. The first arithmetic circuit 110 calculates the first reference value RV1 from the amount of decrease in the integrated value ITVn (i.e., the current integrated value) from the integrated value ITV1 after the time point t (n).

For example, the integrated value ITV2 is reduced by 5% relative to the integrated value ITV 1. Therefore, the first arithmetic circuit 110 calculates that the first reference value RV1 is equal to "5". The integrated value ITV3 is reduced by 8% with respect to the integrated value ITV 1. Therefore, the first arithmetic circuit 110 calculates the first reference value RV1 to be equal to "8". The integrated value ITV4 is reduced by 10% with respect to the integrated value ITV 1. Therefore, the first arithmetic circuit 110 calculates that the first reference value RV1 is equal to "10". The integrated value ITVn is reduced by 80% with respect to the integrated value ITV 1. Therefore, the first arithmetic circuit 110 calculates that the first reference value RV1 is equal to "80". The first reference value RV1 is directly related to the reduction.

In the present embodiment, the discharge charge cycles C1 to Cn are substantially uniform. The discharge time lengths of the discharge charge cycles C1 to Cn are the same as each other. The charge time lengths of the discharge charge cycles C1 to Cn are also the same as each other. For example, the length of time for each discharge charge cycle C1-Cn may be hours or one day, depending on the actual application. Each discharge time length is, for example, several hours. The length of each charging time is, for example, several hours, but the invention is not limited thereto. The discharge time length may be the same or different from the charge time length based on the actual application.

Based on actual usage requirements, waveforms of the discharge data DC1 to DCn and the charge data CC1 to CCn may change. The waveforms of the discharge data DC1 to DCn and the charge data CC1 to CCn of the present invention are not limited to the present embodiment.

In the present embodiment, the first reference value RV1 can reflect the degradation state of the SOC of the battery device BD in the discharge charge cycles C1 to Cn. The larger the first reference value RV1, the more serious the degradation condition of the SOC of the battery device BD.

Details of the implementation of the second operation circuit 120 to calculate the first reference value RV2 will be described below. Referring to fig. 1 and fig. 3, fig. 3 is a schematic diagram of temperature time series data according to an embodiment of the invention. The temperature time series data RDT includes a temperature trend of the battery device BD for the discharge charge cycles C1 to Cn. At the end of the initial discharge charge cycle C1, the second arithmetic circuit 120 obtains a temperature value Temp1 (i.e., an initial temperature value) of the battery device BD at a time point t (1). At the end of the discharge charge cycle C2, the second arithmetic circuit 120 obtains the temperature value Temp2 of the battery device BD at a time point t (2). The second arithmetic circuit 120 calculates the second reference value RV2 according to an increase of the temperature value Temp2 (i.e., the current temperature value) with respect to the temperature value Temp1 (i.e., the initial temperature value) after the time point t (2).

At the end of the discharge charge cycle C3, the second arithmetic circuit 120 obtains the temperature value Temp3 of the battery device BD at a time point t (3). The second computing circuit 120 calculates the second reference value RV2 according to an increase of the temperature value Temp3 (i.e., the current temperature value) relative to the temperature value Temp1 after the time point t (3).

At the end of the discharge charge cycle C4, the second arithmetic circuit 120 obtains the temperature value Temp4 of the battery device BD at a time point t (4). The second computing circuit 120 calculates the second reference value RV2 according to an increase of the temperature value Temp4 (i.e. the current temperature value) relative to the temperature value Temp1 after the time point t (4).

At the end of the discharge charge cycle Cn, the second arithmetic circuit 120 obtains the temperature value Tempn of the battery device BD at the time point t (n). The second arithmetic circuit 120 calculates the second reference value RV2 according to an increase of the temperature value Temp (i.e., the current temperature value) with respect to the temperature value Temp1 after the time point t (n).

Here, it is illustrated that the temperature value Temp2 is increased by 3 deg.c with respect to the temperature value Temp 1. Therefore, the second arithmetic circuit 120 calculates the second reference value RV2 to be equal to "6". The temperature value Temp3 is increased by 6 deg.c with respect to the temperature value Temp 1. Therefore, the second arithmetic circuit 120 calculates the second reference value RV2 to be equal to "12". The temperature value Temp4 is increased by 9 deg.c with respect to the temperature value Temp 1. Therefore, the second arithmetic circuit 120 calculates the second reference value RV2 to be equal to "18". The temperature value Tempn is increased by 50℃relative to the temperature value Temp 1. Therefore, the second arithmetic circuit 120 calculates the second reference value RV2 to be equal to "100". The second reference value RV2 is positively related to the increment.

In the present embodiment, the second reference value RV2 can reflect the temperature rising trend of the battery device BD in the discharging and charging cycles C1 to Cn. The larger the second reference value RV2, the more serious the temperature rise condition of the battery device BD. The temperature rise condition may reflect a bad or rapid aging of the circuit design, the structural design, or the heat dissipation design of the battery device BD, such as a design error or a collision or damage of the battery device BD. In the present embodiment, the larger the second reference value RV2, the greater the risk of ignition and burning of the battery device BD.

Referring to fig. 1, 2 and 3, based on the teachings of the above embodiments, the higher at least one of the first reference value RV1 and the second reference value RV2, the more serious the processor 130 estimates the degradation state of the battery device BD. Thus, the status data SST indicates information about the severely degraded state of the battery device BD. On the other hand, the first reference value RV1 and the second reference value RV2 are both lower, and the processor 130 estimates that the degradation state of the battery device BD is less. Thus, the status data SST indicates information about the slightly degraded state of the battery device BD.

In the present embodiment, the first reference value RV1 and the second reference value RV2 may be regarded as the ages of the battery devices BD. The larger the first reference value RV1 and the second reference value RV2, the older the battery device BD. The smaller the first reference value RV1 and the second reference value RV2, the younger the battery device BD.

In this embodiment, the threshold VT may be set, and when one of the first reference value RV1 and the second reference value RV2 is greater than the threshold, the status data SST provided by the processor 130 includes disabling information corresponding to the battery device BD. The disabling information indicates that the battery device BD has not been adapted to the external device EXD. In some embodiments, the disabling information disables the notification signal of the battery device BD.

For example, the threshold VT is, for example, "90". At the end of the discharge charge cycle Cn, the first reference value RV1 is equal to "80" and the second reference value RV2 is equal to "100". The processor 130 determines that the second reference value RV2 is greater than the threshold VT, which indicates that the temperature rise condition of the battery device BD is significantly abnormal, and there may be a risk of ignition combustion. Accordingly, the status data SST may include disabling information corresponding to the battery device BD.

For example, the threshold VT is "90". The first reference value RV1 is equal to "95" and the second reference value RV2 is equal to "80". The processor 130 determines that the first reference value RV1 is greater than the threshold VT, which indicates that the SOC of the battery device BD is severely degraded. Thus, the status data SST may include disabling information. For example, the threshold VT is "90". The first reference value RV1 is equal to "95" and the second reference value RV2 is equal to "95". The processor 130 determines that the first reference value RV1 and the second reference value RV2 are both greater than the threshold VT. Thus, the status data SST may include disabling information.

For example, the threshold VT is "90". The first reference value RV1 is equal to "40" and the second reference value RV2 is equal to "60". The processor 130 determines that the first reference value RV1 and the second reference value RV2 are both smaller than the threshold VT. Thus, the status data SST would not include disabling information.

It should be noted that the first reference value RV1 is a relative value associated with the integrated value. The second reference value RV2 is a relative value associated with a temperature value. Therefore, the detection system 100 is suitable for estimating the degradation state of the battery device BD having a single battery cell or the degradation state of the battery device BD having a plurality of battery cells coupled in series.

In addition, it should be noted that the processor 130 can learn the trend of the first reference value RV1 and the second reference value RV2. Based on the specific usage requirement, the processor 130 can determine the rising trend of the first reference value RV1 and the second reference value RV2 under the condition that the battery device BD undergoes multiple discharging and charging cycles, and estimate the time point when the first reference value RV1 and the second reference value RV2 reach the critical value VT based on the rising trend. In other words, the processor 130 can estimate the lifetime of the battery device BD based on the trend of the first reference value RV1 and the second reference value RV2.

Referring to fig. 1 and fig. 4, fig. 4 is a flowchart of an operation method according to a first embodiment of the invention. The method of operation may operate the detection system 100. In the present embodiment, the operation method includes steps S110 to S130. In step S110, the first computing circuit 110 receives the voltage timing data RDV of the battery device BD, and computes the first reference value RV1 of the battery device BD according to the voltage timing data RDV. In step S120, the second computing circuit 120 receives the temperature time-series data RDT of the battery device BD, and computes the second reference value RV2 of the battery device BD according to the temperature time-series data RDT. In step S130, the processor 130 provides the state data SST associated with the degraded state of the battery device BD according to the first reference value RV1 and the second reference value RV2. The details of the implementation of steps S110 to S130 are fully described in the embodiments of fig. 1 to 3 and are not repeated here.

Referring to fig. 5, fig. 5 is a schematic diagram of a detection system according to a second embodiment of the invention. In the present embodiment, the detection system 200 includes a first computing circuit 110, a second computing circuit 120, a processor 130, a battery management controller 140, and a control platform 250. The implementation details of the first computing circuit 110, the second computing circuit 120, the processor 130, and the battery management controller 140 are fully described in the embodiments of fig. 1-3, and are not repeated here.

In this embodiment, the control platform 250 communicates with the processor 130. The control platform 250 generates evaluation data EV corresponding to the battery device BD according to the state data SST of the battery device BD. The evaluation data EV includes an evaluation score of the battery device BD applied to the external device EXD. In the present embodiment, the status data SST at least indicates the information about the battery device BD in a severely degraded state or a slightly degraded state. For example, the control platform 250 knows that the battery device BD is in a slightly degraded state based on the state data SST. The control platform 250 can know whether the battery device BD is suitable for the external device EXD or that the battery device BD has a better quality and design. Therefore, the control platform 250 increases the evaluation score of the battery device BD. For another example, the control platform 250 knows that the battery device BD is in a severely degraded state based on the state data SST. The control platform 250 can know that the battery device BD is not suitable for the external device EXD or that the battery device BD is poorly designed. Therefore, the control platform 250 may decrease the evaluation score of the battery device BD. That is, the battery device BD having a high evaluation score has a lower first reference value RV1 and a lower second reference value RV2. The battery device BD having a low evaluation score has a higher first reference value RV1 and a higher second reference value RV2. Therefore, the variation in SOC and the variation in temperature of the battery device BD having a low evaluation score are remarkable.

The control platform 250 can also monetary the evaluation score. Further, the control platform 250 converts the evaluation score of the battery device BD into the current value of the battery device BD. The higher the evaluation score of the battery device BD, the higher the current value of the battery device BD. The lower the evaluation score of the battery device BD, the lower the current value of the battery device BD. Therefore, the manager can intuitively evaluate whether to use this type of battery device BD depending on the existing value of the battery device BD.

In the present embodiment, the control platform 250 can also know the first reference value RV1 and the second reference value RV2 according to the status data SST. The control platform 250 can provide information associated with the trend of the SOC of the battery device BD and the trend of the temperature of the battery device BD. Therefore, the manager can obtain the characteristics of this type of battery device BD from the above information, and accordingly provide the manufacturer of the battery device BD with an improvement suggestion of the battery device BD, such as optimizing the reliability of the SOC, the circuit design, or the parameters of the discharge charge cycle, or the like.

In this embodiment, the control platform 250 may be a server, cloud server, neural network-like or artificial intelligence model, central processing unit (Central Processing Unit, CPU), or other programmable general purpose or special purpose Microprocessor (Microprocessor), digital signal processor (Digital Signal Processor, DSP), programmable controller, application specific integrated circuit (Application Specific Integrated Circuits, ASIC), programmable logic device (Programmable Logic Device, PLD), or other similar device or combination of devices that can load and execute a computer program.

The battery management controller 140 is also capable of communicating with other external devices to collect the voltage timing data RDV and the voltage timing data RDT of the battery devices of the external devices in real time. Accordingly, the control platform 250 can generate a plurality of evaluation data EV corresponding to the plurality of battery devices. Therefore, the detection system 200 can estimate and monitor the degradation states of the battery devices in real time, and even generate the evaluation data EV of the battery devices at a plurality of points around the world.

Referring to fig. 5 and fig. 6, fig. 6 is a flowchart of an operation method according to a second embodiment of the invention. The method of operation may operate the detection system 200. In the present embodiment, the operation method includes steps S210 to S240. In step S210, the first computing circuit 110 receives the voltage timing data RDV of the battery device BD, and computes the first reference value RV1 of the battery device BD according to the voltage timing data RDV. In step S220, the second computing circuit 120 receives the temperature time-series data RDT of the battery device BD, and computes the second reference value RV2 of the battery device BD according to the temperature time-series data RDT. In step S230, the processor 130 provides the state data SST associated with the degraded state of the battery device BD according to the first reference value RV1 and the second reference value RV2. In step S240, the control platform 250 generates evaluation data EV corresponding to the battery device BD according to the state data SST of the battery device BD. The details of the implementation of steps S210 to S240 are fully described in the embodiments of fig. 1 to 3 and 5, and are not repeated here.

In summary, the detection system and the operation method of the present invention calculate the first reference value of the battery device according to the voltage time sequence data, calculate the second reference value of the battery device according to the temperature time sequence data, and provide the status data according to the first reference value and the second reference value. The voltage timing data is associated with a trend of variation in SOC for a plurality of discharge charge cycles. The temperature timing data is associated with a temperature trend for a plurality of discharge charge cycles. In other words, the state data may be associated with a degraded state of the battery device. In this way, the degradation state and the lifetime of the battery device can be estimated according to the state data. In addition, the control platform can evaluate the existing value of the battery device with status data.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims

1. A detection system for estimating a degradation state of a battery device, the detection system comprising:

a first operation circuit configured to receive voltage timing data of the battery device and calculate a first reference value of the battery device according to the voltage timing data, wherein the voltage timing data includes timing data of the battery device for a plurality of discharge charge cycles;

a second arithmetic circuit configured to receive temperature timing data of the battery device and to calculate a second reference value of the battery device in accordance with the temperature timing data, wherein the temperature timing data includes a temperature trend of the battery device for the multiple discharge charge cycles; and

the processor is coupled to the first operation circuit and the second operation circuit, and is configured to receive the first reference value and the second reference value and provide state data associated with the declining state according to the first reference value and the second reference value.

2. The detecting system according to claim 1, wherein the first arithmetic circuit performs an integration operation on the voltage value of an initial cycle of the plurality of discharge charge cycles based on time to generate an initial integrated value, performs an integration operation on the voltage value of a current cycle of the plurality of discharge charge cycles based on time to generate a current integrated value, and calculates the first reference value in accordance with a decrease amount of the current integrated value with respect to the initial integrated value.

3. The detection system according to claim 2, wherein the first reference value is directly related to the reduction.

4. The detection system according to claim 1, wherein the second arithmetic circuit obtains an initial temperature value for an initial cycle of the plurality of discharge charge cycles, obtains a current temperature value for a current cycle of the plurality of discharge charge cycles, and calculates the second reference value according to an increase amount of the current temperature value with respect to the initial temperature value.

5. The detection system according to claim 4, wherein the second reference value is positively correlated to the increment.

6. The detection system according to claim 1, wherein the processor estimates that the degradation state of the battery device is more severe the higher at least one of the first reference value and the second reference value is.

7. The detection system of claim 1, wherein the processor predicts the lifetime of the battery device based on a trend of the first reference value and the second reference value.

8. The detection system of claim 1, wherein the detection system further comprises:

a control platform in communication with the processor is configured to generate evaluation data corresponding to the battery device as a function of the status data of the battery device.

9. The detection system of claim 1, wherein the battery device is disposed within an external device.

10. The detection system of claim 9, wherein the detection system further comprises:

and a battery management controller configured to communicate with the external device to receive the voltage timing data and the voltage timing data of the battery device, transmit the voltage timing data to the first arithmetic circuit, and transmit the temperature timing data to the second arithmetic circuit.

11. An operating method for operating a detection system for estimating a degraded state of a battery device, wherein the detection system comprises a first operation circuit, a second operation circuit, and a processor, wherein the operating method comprises:

receiving voltage time sequence data of the battery device by the first operation circuit, and calculating a first reference value of the battery device according to the voltage time sequence data, wherein the voltage time sequence data comprises time sequence data of the battery device for carrying out multiple discharging and charging cycles;

receiving temperature time sequence data of the battery device by the second operation circuit, and calculating a second reference value of the battery device according to the temperature time sequence data, wherein the temperature time sequence data comprises a temperature trend of the battery device in the multiple discharging and charging cycles; and

providing, by the processor, state data associated with the degraded state as a function of the first reference value and the second reference value.

12. The method of operation of claim 11, wherein the step of calculating the first reference value of the battery device from the voltage timing data comprises:

integrating the voltage value of an initial cycle of the plurality of discharge charge cycles based on time to generate an initial integrated value;

integrating the voltage value of the current cycle of the multiple discharge charge cycles based on time to produce a current integrated value; and

the first reference value is calculated in accordance with the amount of decrease in the current integrated value from the initial integrated value.

13. The method of operation of claim 12, wherein the first reference value is positively correlated to the reduction.

14. The method of operation of claim 11, wherein the step of calculating the second reference value of the battery device from the temperature timing data comprises:

obtaining an initial temperature value for an initial cycle of the multiple discharge charge cycles;

obtaining a current temperature value for a current cycle of the multiple discharge charge cycles; and

the second reference value is calculated according to the increment of the current temperature value relative to the initial temperature value.

15. The method of operation of claim 14, wherein the second reference value is positively correlated to the increment.

16. The method of claim 11, wherein the higher at least one of the first reference value and the second reference value, the more severe the degraded state of the battery device is estimated.

17. The method of operation of claim 11, further comprising:

the life of the battery device is estimated based on the trend of the first reference value and the second reference value.

18. The method of operation of claim 11, further comprising:

evaluation data corresponding to the battery device is generated in accordance with the state data of the battery device.