Information interaction system and method based on battery box of electric heavy truck

Abstract

The application relates to the technical field of battery packs and discloses an information interaction system and method based on an electric heavy truck battery box to promote the performance improvement of standard battery boxes. The system further comprises a main BMS management platform in addition to intelligent slave boards, slave BMSs and a main BMS, which is used for performing data sharing processing with a remote data collection platform deployed by at least one target manufacturer of prepared battery boxes according to a pre-agreed data sharing strategy, carrying the overall information of each branch uploaded by a single main BMS and the position and state information of the battery box prepared by the target manufacturer in each branch in a single shared data, and reserving the state information of the battery cell when performing unified emptying or zero setting processing on part of the sensitive data of other battery box manufacturers in each branch. The remote data collection platform is used for classifying and statistically quantifying the fluctuation indexes of other manufacturers' battery boxes in different quantity ratios and different modal combinations in a single branch based on series target shared data.

Description

Technical Field

[0001] This invention relates to the field of battery pack technology, and in particular to an information interaction system and method based on an electric heavy-duty truck battery box. Background Technology

[0002] Currently, high-capacity electric heavy-duty truck battery systems adopt a multi-branch parallel structure, characterized by their large size and energy consumption. Each branch is equipped with an independent Battery Management System (BMS) slave module (hereinafter referred to as slave BMS). During operation, the total voltage is consistent with the voltage of a single branch and matches the voltage of the entire vehicle. Even if one branch fails and disconnects, the other branches can still maintain voltage and provide degraded power. At the same time, the parallel branches can simultaneously supply power to the heavy-duty truck (which can be connected in parallel to the high-voltage bus of the entire vehicle through a contactor) to meet the huge power bursts required in scenarios such as starting, climbing, and high-speed cruising.

[0003] Meanwhile, heavy-duty truck battery charging technology is developing towards vehicle-battery separation, enabling both charging and swapping. During charging, multiple branches can be used for individual charging with multiple charging guns simultaneously to improve efficiency. Battery swapping allows for the replacement of the entire battery pack (or battery module) at a swapping station. If the battery boxes within a branch adopt a unified standard, individual standard battery boxes within the branch can also be replaced during routine inspections and maintenance. Therefore, when the key charging and discharging parameters of each battery box meet consistency requirements to ensure safety performance, battery boxes from different manufacturers and brands can be used interchangeably and interchangeably. This facilitates meeting the needs of various types of heavy-duty trucks and expanding application scenarios to match similar needs of other products.

[0004] However, due to limitations in laboratory environments, most battery manufacturers are unable to reliably assess the overall performance of their products when used in combination with similar third-party products during the product development and testing phases. This makes tracking the performance of these products in actual use after they leave the factory a challenging issue. Furthermore, the lack of supporting data hinders the evaluation of the effectiveness of technological iterations in materials and manufacturing processes for such products. Summary of the Invention

[0005] The purpose of this invention is to disclose an information interaction system and method based on the battery box of an electric heavy-duty truck, which promotes the improvement of the mixed use performance of standard battery boxes through the support of shared data.

[0006] To achieve the above objectives, the information interaction system based on the battery box of an electric heavy-duty truck disclosed in this invention includes:

[0007] The intelligent slave board deployed inside the battery box is used to report a unique traceability code to the slave BMS of the upper-level branch and monitor the status information of each cell in the box.

[0008] The slave BMS, deployed in each parallel branch of the battery pack, is used to obtain the traceability codes of different battery boxes reported by the intelligent slave board in the branch, poll the status data of different replaceable battery boxes in the branch to coordinate the energy balance and thermal management strategies among the battery boxes in the branch, and report the key parameters at the branch level to the main BMS.

[0009] The vehicle-mounted main BMS is used to interact with each slave BMS to determine the position of each battery box in the corresponding branch, and to perform overall analysis, status estimation, fault diagnosis and emergency response based on the status information of each slave BMS and each smart slave board, and transmit real-time data to the main BMS management platform.

[0010] The main BMS management platform is used to perform data sharing processing with the remote data collection platform deployed by at least one target manufacturer of battery boxes according to a pre-agreed data sharing strategy. The shared single data carries the overall information of each branch uploaded by a single main BMS and the location and status information of the battery boxes manufactured by the target manufacturer in each branch. When the sensitive data of other battery box manufacturers in each branch is uniformly cleared or zeroed during the packaging process, the status information of the battery cells is retained.

[0011] The remote data collection platform is used to convert the data shared by the main BMS management platform into time-series data corresponding to the traceability codes of each battery box, so as to filter the target objects according to the user's search query, and then classify and statistically analyze the volatility quantification indicators of the target objects in a single branch and other manufacturers' battery boxes under different quantity ratios and different mode combinations. The target objects are a single battery box or at least two series of battery boxes with the same material and manufacturing process attributes, based on all deduplicated shared data uploaded by different main BMS. The modes consist of two branch modes: fault and non-fault.

[0012] Preferably, the main BMS is also used to verify the consistency of key parameters of each battery box based on the full life cycle data in the traceability platform after the battery swap is completed; and to formulate a charging strategy based on the full life cycle data of each battery box in the traceability platform and transmit it to the external charging pile during the charging interaction process.

[0013] Preferably, the sharing strategy includes the start and end conditions for triggering the collection of a single piece of data, the content composition, the upload mechanism, and the encryption mechanism. If any data uploaded by a main BMS does not contain a battery box from the target manufacturer, then the data does not belong to the shared data of the target manufacturer. The sensitive data includes at least the traceability code and manufacturer information of battery boxes manufactured by other manufacturers.

[0014] Preferably, when performing the classification and statistical analysis of the volatility quantification indicators of the target object compared with other manufacturers' battery boxes under different quantity ratios and different mode combinations within a single branch, the specific steps include:

[0015] Using combinations of self-produced battery boxes and battery boxes from other manufacturers in different quantities and modes as different dimensions, within any dimension, first calculate the variance of the data sequence composed of each battery box in the branch for any acquisition parameter in a single shared data point, then calculate the two types of results for that acquisition parameter based on all target objects within that dimension; then compare and present the two types of results for that acquisition parameter based on the same quantity ratio but different branch modes; the two types of results are the mean variance and the standard deviation of the variance; the acquisition parameters include: voltage, current, temperature, pressure, insulation resistance, humidity, and acceleration for collision detection.

[0016] Preferably, the remote data collection platform is also used to respond to user requests to compare and present the variability quantification indicators of two battery box clusters with different materials and / or preparation processes under different quantity ratios and different modal combinations.

[0017] Preferably, the remote data collection platform is also used to determine the battery box that caused the fault in each shared data of the branch fault according to the preset fault identification model or algorithm, and then mark the fault originator of the corresponding shared data as its own or other manufacturers according to the judgment result, and then compare and analyze the volatility quantitative indicators under different quantity ratios and different combinations of fault originators under the branch fault state.

[0018] To achieve the above objectives, the present invention also discloses an information interaction method based on an electric heavy-duty truck battery box, applied to the information interaction system based on an electric heavy-duty truck battery box as described above, comprising:

[0019] The intelligent system reports a unique traceability code and the status information of each cell in the monitoring box from the board to the next level branch.

[0020] The traceability codes of different battery boxes reported by the intelligent slave board in each branch are obtained from the BMS and deployed in each parallel branch of the battery pack. The status data of different replaceable battery boxes in the branch are polled to coordinate the energy balance and thermal management strategies among the battery boxes in the branch, and the key parameters at the branch level are reported to the main BMS.

[0021] The vehicle-mounted main BMS interacts with each slave BMS to determine the position of each battery box in the corresponding branch, and performs overall analysis, status estimation, fault diagnosis and emergency response based on the status information of each slave BMS and each smart slave board, and transmits real-time data to the main BMS management platform.

[0022] The main BMS management platform and the remote data collection platform deployed by at least one target manufacturer of battery boxes perform data sharing processing according to a pre-agreed data sharing strategy. The shared single data carries the overall information of each branch uploaded by a single main BMS and the location and status information of the battery boxes manufactured by the target manufacturer in each branch. When the sensitive data of other battery box manufacturers in each branch is uniformly cleared or zeroed during the packaging process, the status information of the battery cells is retained.

[0023] The remote data collection platform converts the data shared by the main BMS management platform into time-series data corresponding to the traceability codes of each battery box, so as to filter the target objects according to the user's search query, and then classifies and statistically analyzes the volatility quantification indicators of the target objects in a single branch and other manufacturers' battery boxes under different quantity ratios and different mode combinations. The target objects are a single battery box or at least two series of battery boxes with the same material and manufacturing process attributes, based on all deduplicated shared data uploaded by different main BMS. The modes consist of two branch modes: fault and non-fault.

[0024] The present invention has the following beneficial effects:

[0025] 1. The intelligent slave board, slave BMS, master BMS, master BMS management platform and remote data collection platform achieve partial data sharing through division of labor and cooperation; the overall logic is reasonable and the process is orderly, and the resource consumption of each interactive node for the new processing tasks added by the technology of this invention in addition to the regular functions is relatively limited and simple; it can ensure the stability and reliability of the entire system.

[0026] 2. The shared single data entry carries the overall information of each branch uploaded by a single main BMS, as well as the location and status information of the battery boxes manufactured by the target manufacturer in each branch. While uniformly clearing or zeroing out sensitive data from other battery box manufacturers in each branch, the cell status information is retained. The processing of sensitive information avoids mutual defamation between battery box manufacturers and does not involve modification of the original data, thus not affecting multi-party sharing based on the original data. Retaining the cell status information of other battery box manufacturers provides data support for the remote data collection platform to classify and statistically analyze the volatility quantification indicators of battery boxes from other manufacturers under different quantity ratios and modal combinations within a single branch, based on a series of target shared data. This achieves the goal of promoting the performance improvement of mixed use of standard battery boxes through the support of shared data.

[0027] 3. Based on the remote data collection platform, on the one hand, it can classify and statistically analyze the volatility quantification indicators of battery boxes from other manufacturers under different quantity ratios and modal combinations within a single branch based on a series of target shared data. This volatility quantification indicator can then be used to evaluate and track the mixed performance of the product with similar products during actual use after it leaves the factory. On the other hand, it can obtain more high-value intelligence through big data mining methods such as comparison. For example, it can provide supporting data to evaluate the effectiveness of technological iterations in battery box products in terms of materials and manufacturing processes by comparing the volatility quantification indicators of two battery box clusters with different materials and / or manufacturing processes under different quantity ratios and modal combinations.

[0028] The present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0029] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0030] Figure 1 This is a partial structural block diagram of the information interaction system based on the battery box of an electric heavy-duty truck disclosed in an embodiment of the present invention.

[0031] Figure 2 This is a flowchart illustrating the information interaction method based on the battery box of an electric heavy-duty truck disclosed in an embodiment of the present invention. Detailed Implementation

[0032] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways as defined and covered by the claims.

[0033] Example 1

[0034] This embodiment discloses an information interaction system based on the battery box of an electric heavy-duty truck, such as... Figure 1 As shown, in addition to the intelligent slave board 1, slave BMS2, and master BMS3, the system also includes a master BMS management platform 4 and a remote data collection platform 5. The functions and characteristics of each node are described below:

[0035] The intelligent slave board deployed inside the battery box is mainly used to report unique traceability codes to the slave BMS of the upper-level branch and monitor the status information of each cell inside the box. Common status information includes, but is not limited to, monitored voltage, temperature, and current information.

[0036] In this embodiment, the traceability code is an identification number uploaded to the traceability platform (including but not limited to the national traceability management platform), which can map to the corresponding manufacturer, type, specifications, and production date. The traceability platform is used to record all data of the battery from production, use to recycling. For example, usage data may include: cycle count, temperature profile, SOH (State of Health), etc. When necessary, replacement or scrapping records based on specific reasons such as malfunction or traffic accidents can also be uploaded to the traceability platform.

[0037] The slave BMSs, deployed in each parallel branch of the battery pack, are primarily used to acquire the traceability codes of different battery boxes reported by the intelligent slave boards within the branch, poll the status data of different replaceable battery boxes within the branch to coordinate energy balance and thermal management strategies among the battery boxes within the branch, and report key parameters at the branch level to the main BMS. In this embodiment, the battery pack includes at least two parallel branches.

[0038] Typically, standard battery boxes are replaced by professional technicians. After replacement, the new members need to be identified from the BMS and the system needs to be verified and balanced through charge and discharge tests.

[0039] The onboard main BMS is primarily used to interact with each slave BMS to determine the location of each battery pack in its corresponding branch, and to perform overall analysis, status estimation, fault diagnosis, and emergency response based on the status information of each slave BMS and each smart slave board, transmitting real-time data to the main BMS management platform. Typically, emergency response includes, but is not limited to, coordinating multiple slave BMSs to achieve balance in voltage, current, temperature, and charge levels across each branch. For example, high-voltage interlocking and insulation monitoring can ensure that no dangerous potential difference or short circuit occurs between different branches under any operating condition.

[0040] In this embodiment, the data acquired and analyzed by the main BMS needs to be uploaded to the main BMS management platform. Furthermore, it can be used to verify the consistency of key parameters of each battery box after battery swapping, based on the full lifecycle data in the traceability platform. This verifies that the battery types are the same, and parameters such as capacity, internal resistance, compatible voltage platform, and State of Health (SOH) are similar to prevent inferior or problematic battery boxes from being used. For battery boxes that do not meet the consistency requirements, corresponding alarms are generated to transfer them to the next level of the recycling chain for reuse or to perform recycling and disposal. Typically, battery boxes with high SOH charge quickly, while those with low SOH charge slowly; therefore, a reasonable charging strategy needs to be developed. For this purpose, the main BMS in this embodiment is also used to develop a charging strategy based on the full lifecycle data of each battery box in the traceability platform during the charging interaction process and transmit it to the external charging station. This charging strategy includes relevant information such as charging voltage and charging time.

[0041] The main BMS management platform is primarily used to perform data sharing processing with remote data collection platforms deployed by at least one target manufacturer of battery boxes, according to a pre-agreed data sharing strategy. Each shared data entry carries overall information about each branch uploaded by the main BMS, as well as the location and status information of the target manufacturer's battery boxes in each branch. During encapsulation, while uniformly clearing or zeroing some sensitive data from other battery box manufacturers in each branch, the platform retains the cell status information. The target manufacturer can be any standard battery box manufacturer compatible with the system of this invention, promoting synchronized technological iteration within the industry in this specific segment. Furthermore, the clearing or zeroing of sensitive data is limited to special processing during the encapsulation process of data packets for sharing objects based on locally recorded original data, without altering the original data. This ensures that multi-party sharing based on the original data is not affected, and that the information carried by the data shared by different remote data collection platforms belonging to different standard battery box manufacturers is different.

[0042] In this embodiment, the sharing strategy includes the start and end conditions for triggering the collection of individual data (e.g., automatically triggered after a fault is detected and a battery swap is performed; in non-fault states, it is triggered after each time the remaining power reaches a preset threshold), content composition, upload mechanism (used to set specific strategies such as real-time single upload or centralized batch upload for individual shared data generated for different triggering reasons), and encryption mechanism. During the setting of the sharing strategy, it is necessary to reasonably balance the quantity of data collected with the diversity of evaluation scenarios and minimize the redundancy of shared data with similar meanings. This allows the target manufacturer to effectively evaluate the volatility quantification indicators of the target battery box and other manufacturers' battery boxes under different quantity ratios and different modal combinations based on a reasonable data scale. Specifically, if any main BMS uploads data that does not contain a battery box from the target manufacturer, that data does not belong to the target manufacturer's shared data (significantly reducing the overall number of shared data entries in the system); sensitive data includes at least the traceability code and manufacturer information of battery boxes manufactured by other manufacturers.

[0043] The remote data collection platform is mainly used to convert the data shared by the main BMS management platform into time-series data corresponding to the traceability codes of each battery box. This allows for the filtering of target objects based on user queries, and then the classification and statistical analysis of the volatility quantification indicators of the target objects within a single branch compared with battery boxes from other manufacturers under different quantity ratios and modal combinations. The target objects are a single battery box or at least two battery box clusters with the same material and manufacturing process, based on all deduplicated shared data uploaded by different main BMSs. The modal consists of two branch modes: fault and non-fault.

[0044] Preferably, the remote data collection platform assigns an identity identifier to each piece of shared data collected. The identity identifier corresponding to each piece of shared data can be recorded in the time-series data of the form corresponding to the traceability code of each battery box. This enables the accurate deduplication of all shared data uploaded by the series of battery box clusters based on different main BMS to be quickly performed according to the identity identifier of the shared data when multiple standard battery boxes of the target manufacturer are present in a single piece of shared data.

[0045] For example, when performing quantitative analysis of the volatility of a target object within a single branch compared to other manufacturers' battery boxes under different quantity ratios and modal combinations, the following specific metrics may be included:

[0046] Using combinations of self-produced battery boxes and battery boxes from other manufacturers in different quantities and modes as different dimensions, within any dimension, first calculate the variance of the data sequence composed of each battery box in the branch for any acquisition parameter in a single shared data point, then calculate the two types of results for that acquisition parameter based on all target objects within that dimension; then compare and present the two types of results for that acquisition parameter based on the same quantity ratio but different branch modes; these two types of results are the mean variance and the standard deviation of the variance; acquisition parameters may include: voltage, current, temperature, pressure, insulation resistance, humidity, and acceleration for collision detection, etc.

[0047] The method, which uses the internal variance of a single shared data point (to measure the volatility of each individual) to the average variance between different shared data points (to measure the "average volatility level" of the target group) and the standard deviation of the variance (to measure the difference between "individual volatility levels", i.e. the stability of volatility), allows this embodiment to go beyond simply looking at the "average level" and to reveal the heterogeneity of individual differences within the group. This is of great significance for quality control and risk management in different dimensions.

[0048] Furthermore, the remote data collection platform in this embodiment is also used to respond to user requests to compare and present the quantification indicators of the volatility of two battery box clusters with different materials and / or manufacturing processes under different quantity ratios and different modal combinations; thereby, by comparing, supporting data can be provided to objectively evaluate the effectiveness of the technological iteration of battery box products in terms of materials and manufacturing processes.

[0049] Furthermore, the remote data collection platform is also used to identify the faulty battery boxes in each shared data of branch faults based on a preset fault identification model or algorithm. Then, based on the judgment results, it marks the fault originator of the corresponding shared data as its own or other manufacturers. It then compares and analyzes the volatility quantification indicators under different quantity ratios and different combinations of fault originators under branch fault conditions. This helps the target manufacturer to evaluate the distribution of its own standard battery boxes' technological advantages compared to other manufacturers and seek better technological iteration directions to reduce the failure rate.

[0050] In summary, this embodiment can classify and statistically analyze the volatility quantification indicators of target objects within a single branch and compared with battery boxes from other manufacturers under different quantity ratios and modal combinations, based on a remote data collection platform. This volatility quantification indicator can then be used to evaluate and track the product's compatibility with similar products during actual use after it leaves the factory. Furthermore, more high-value intelligence can be obtained through big data mining methods such as comparison. The parts of each node not explained in detail (such as energy balancing and thermal management strategies, traceability coding methods, and fault analysis) are all existing technologies essential for current battery packs and will not be elaborated upon.

[0051] Example 2

[0052] Based on the same principle as Embodiment 1 above, this embodiment discloses an information interaction method based on an electric heavy-duty truck battery box, applied to the information interaction system based on an electric heavy-duty truck battery box as described above, such as... Figure 2 As shown, it includes the following steps:

[0053] Step S1: The intelligent system reports a unique traceability code and the status information of each cell in the monitoring box to the next higher level branch from the BMS.

[0054] Step S2: The traceability codes of different battery boxes reported by the intelligent slave board in each parallel branch of the battery pack are obtained from the BMS. The status data of different replaceable battery boxes in the branch are polled to coordinate the energy balance and thermal management strategies among the battery boxes in the branch, and the key parameters at the branch level are reported to the main BMS.

[0055] Step S3: The vehicle-mounted main BMS interacts with each slave BMS to determine the position of each battery box in the corresponding branch, and performs overall analysis, status estimation, fault diagnosis and emergency response based on the status information of each slave BMS and each smart slave board, and transmits the real-time data to the main BMS management platform.

[0056] Step S4: The main BMS management platform and the remote data collection platform deployed by at least one target manufacturer of battery boxes perform data sharing processing according to the pre-agreed data sharing strategy. The shared single data carries the overall information of each branch uploaded by a single main BMS and the location and status information of the battery boxes manufactured by the target manufacturer in each branch. When encapsulating, the status information of the cells is retained while uniformly clearing or zeroing some sensitive data of other battery box manufacturers in each branch.

[0057] Step S5: The remote data collection platform converts the data shared by the main BMS management platform into time-series data corresponding to the traceability codes of each battery box, so as to filter the target objects according to the user's search query, and then classifies and statistically analyzes the volatility quantification indicators of the target objects in a single branch and other manufacturers' battery boxes under different quantity ratios and different mode combinations. The target objects are a single battery box or at least two series of battery box clusters with the same material and manufacturing process attributes, based on all deduplicated shared data uploaded by different main BMS. The modes consist of two branch modes: fault and non-fault.

[0058] In summary, the interactive system and method disclosed in the two embodiments of the present invention have at least the following beneficial effects:

[0059] 1. The intelligent slave board, slave BMS, master BMS, master BMS management platform and remote data collection platform achieve partial data sharing through division of labor and cooperation; the overall logic is reasonable and the process is orderly, and the resource consumption of each interactive node for the new processing tasks added by the technology of this invention in addition to the regular functions is relatively limited and simple; it can ensure the stability and reliability of the entire system.

[0060] 2. The shared single data entry carries the overall information of each branch uploaded by a single main BMS, as well as the location and status information of the battery boxes manufactured by the target manufacturer in each branch. During packaging, sensitive data from other battery box manufacturers in each branch is uniformly cleared or zeroed, while retaining the cell status information. The processing of sensitive information avoids mutual defamation between battery box manufacturers and does not involve modification of the original data, thus not affecting multi-party sharing based on the original data. Retaining the cell status information from other battery box manufacturers provides data support for the remote data collection platform to classify and statistically analyze the volatility quantification indicators of battery boxes from other manufacturers under different quantity ratios and modal combinations within a single branch, based on a series of target shared data. This achieves the goal of promoting improved performance of mixed-use standard battery boxes through the support of shared data.

[0061] 3. Based on the remote data collection platform, on the one hand, it can classify and statistically analyze the volatility quantification indicators of battery boxes from other manufacturers under different quantity ratios and modal combinations within a single branch based on a series of target shared data. This volatility quantification indicator can then be used to evaluate and track the mixed performance of the product with similar products during actual use after it leaves the factory. On the other hand, it can obtain more high-value intelligence through big data mining methods such as comparison. For example, it can provide supporting data to evaluate the effectiveness of technological iterations in battery box products in terms of materials and manufacturing processes by comparing the volatility quantification indicators of two battery box clusters with different materials and / or manufacturing processes under different quantity ratios and modal combinations.

[0062] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An information interaction system based on the battery box of an electric heavy-duty truck, characterized in that, include: The intelligent slave board deployed inside the battery box is used to report a unique traceability code to the slave BMS of the upper-level branch and monitor the status information of each cell in the box. The slave BMS, deployed in each parallel branch of the battery pack, is used to obtain the traceability codes of different battery boxes reported by the intelligent slave board in the branch, poll the status data of different replaceable battery boxes in the branch to coordinate the energy balance and thermal management strategies among the battery boxes in the branch, and report the status information at the branch level to the main BMS. The vehicle-mounted main BMS is used to interact with each slave BMS to determine the position of each battery box in the corresponding branch, and to perform overall analysis, status estimation, fault diagnosis and emergency response based on the status information of each slave BMS and each smart slave board, and transmit real-time data to the main BMS management platform. The main BMS management platform is used to perform data sharing processing with the remote data collection platform deployed by at least one target manufacturer of battery boxes according to a pre-agreed data sharing strategy. Each shared data entry carries the overall information of each branch uploaded by a single main BMS, as well as the location and status information of the battery boxes manufactured by the target manufacturer in each branch. During packaging, when some sensitive data of other battery box manufacturers in each branch are uniformly cleared or zeroed, the status information of the battery cells is retained. The sensitive data includes at least the traceability code and manufacturer information of battery boxes manufactured by other manufacturers. The remote data collection platform is used to convert the data shared by the main BMS management platform into time-series data corresponding to the traceability codes of each battery box, so as to filter the target objects according to the user's search query, and then classify and statistically analyze the volatility quantification indicators of the target objects in a single branch and other manufacturers' battery boxes under different quantity ratios and different mode combinations; the target objects are a single battery box or at least two series of battery box clusters with the same material and manufacturing process attributes, based on all deduplicated shared data uploaded by different main BMS; the modes consist of two branch modes: fault and non-fault. Specifically, when performing the quantitative analysis of the volatility of the target object within a single branch compared to other manufacturers' battery boxes under different quantity ratios and modal combinations, the following are included: Using combinations of self-produced battery boxes and battery boxes from other manufacturers in different quantities and modes as different dimensions, within any dimension, first calculate the variance of the data sequence composed of each battery box in the branch for any state information in a single shared data point, then calculate the two types of results for that state information based on all target objects within that dimension; then compare and present the two types of results for that state information based on the same quantity ratio but different branch modes; the two types of results are the mean variance and the standard deviation of the variance; the state information includes: voltage, current, temperature, pressure, insulation resistance, humidity, and acceleration for detecting collisions.

2. The information interaction system based on the battery box of an electric heavy-duty truck according to claim 1, characterized in that, The main BMS is also used to verify the consistency of key parameters of each battery box based on the full life cycle data in the traceability platform after the battery swap is completed; and to formulate charging strategies based on the full life cycle data of each battery box in the traceability platform and transmit them to the external charging pile during the charging interaction process.

3. The information interaction system based on the battery box of an electric heavy-duty truck according to claim 1 or 2, characterized in that, The sharing strategy includes the start and end conditions for triggering the collection of a single piece of data, the content composition, the upload mechanism, and the encryption mechanism. Among them, if the data uploaded by any main BMS does not contain the battery box of the target manufacturer, then the data does not belong to the shared data of the target manufacturer.

4. The information interaction system based on the battery box of an electric heavy-duty truck according to claim 3, characterized in that, The remote data collection platform is also used to respond to user requests to compare and present the volatility quantification indicators of two battery box clusters with different materials and / or manufacturing processes under different quantity ratios and different modal combinations.

5. The information interaction system based on the battery box of an electric heavy-duty truck according to claim 4, characterized in that, The remote data collection platform is also used to determine the faulty battery box in each shared data of the branch fault according to the preset fault identification model or algorithm, and then mark the fault originator of the corresponding shared data as its own or other manufacturers according to the judgment result, and then compare and analyze the volatility quantitative indicators under different quantity ratios and different combinations of fault originators under the branch fault state.

6. An information interaction method based on an electric heavy-duty truck battery box, applied to the information interaction system based on an electric heavy-duty truck battery box as described in any one of claims 1 to 5, characterized in that, include: The intelligent system reports a unique traceability code and the status information of each cell in the monitoring box from the board to the next level branch. The traceability codes of different battery boxes reported by the intelligent slave board in each branch are obtained from the BMS and deployed in each parallel branch of the battery pack. The status data of different replaceable battery boxes in the branch are polled to coordinate the energy balance and thermal management strategies among the battery boxes in the branch, and the key parameters at the branch level are reported to the main BMS. The vehicle-mounted main BMS interacts with each slave BMS to determine the position of each battery box in the corresponding branch, and performs overall analysis, status estimation, fault diagnosis and emergency response based on the status information of each slave BMS and each smart slave board, and transmits real-time data to the main BMS management platform. The main BMS management platform and the remote data collection platform deployed by at least one target manufacturer of battery boxes perform data sharing processing according to a pre-agreed data sharing strategy. The shared single data carries the overall information of each branch uploaded by a single main BMS and the location and status information of the battery boxes manufactured by the target manufacturer in each branch. When the sensitive data of other battery box manufacturers in each branch is uniformly cleared or zeroed during the packaging process, the status information of the battery cells is retained. The remote data collection platform converts the data shared by the main BMS management platform into time-series data corresponding to the traceability codes of each battery box, so as to filter the target objects according to the user's search query, and then classifies and statistically analyzes the volatility quantification indicators of the target objects in a single branch and other manufacturers' battery boxes under different quantity ratios and different mode combinations. The target objects are a single battery box or at least two series of battery boxes with the same material and manufacturing process attributes, based on all deduplicated shared data uploaded by different main BMS. The modes consist of two branch modes: fault and non-fault.

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