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

Abstract

The invention relates to the technical field of battery packs, and discloses an information interaction system and method based on an electric heavy truck battery box, so as to promote the mixed use performance improvement of a standard battery box. Besides the intelligent slave board, the slave BMS and the master BMS, the system further comprises a master BMS management platform used for executing data sharing processing with at least one remote data collection platform deployed by a target manufacturer for preparing the battery box 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 position and state information of the battery box prepared by the target manufacturer in each branch, and the state information of the battery cell is reserved when part of sensitive data of other battery box preparation manufacturers in each branch is uniformly emptied or zeroed during packaging; and the remote data collection platform is used for carrying out classified statistics on fluctuation quantitative indexes of battery boxes of other manufacturers in a single branch circuit under different quantity ratios and different modal combinations based on the series of target shared data.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of battery pack, in particular to an information interaction system and method based on electric heavy truck battery box. BACKGROUND

[0002] At present, the large-capacity electric heavy truck battery system adopts a multi-branch parallel structure, which has the characteristics of large volume and large energy. Each branch is equipped with an independent battery management system (BMS, Battery Management System) from the module (referred to as from BMS, not described later). When working, the total voltage is consistent with the voltage of a single branch and matches the voltage of the whole vehicle. Even if one branch is disconnected, the other branches can still maintain the voltage and provide degraded power. At the same time, the parallel branches can provide power to the heavy truck at the same time (which can be connected to the high-voltage bus of the whole vehicle through a contactor) to meet the instantaneous burst of huge power in the starting, climbing and high-speed cruising scenes.

[0003] At the same time, the charging technology of the heavy truck battery is developing in the direction of separating the vehicle from the power and being chargeable and replaceable. When charging, multiple branches can be charged separately and simultaneously to improve efficiency. When replacing, the entire battery pack (or battery pack) can be replaced at the battery replacement station. If the battery box in the branch adopts a unified standard, the individual standard battery box in the branch can also be replaced during daily maintenance and maintenance. Therefore, when the key parameters of the charging and discharging of each battery box meet the consistency requirements to ensure safety performance, the battery boxes of different manufacturers and different brands can be mixed and replaced, which is convenient for meeting the needs of various types of heavy trucks and expanding application scenarios to match the similar needs of more other products.

[0004] However, most battery manufacturers cannot reliably evaluate the overall performance of their products mixed with third-party similar products in the product development and testing process due to limitations in the laboratory environment. On the one hand, it becomes a difficult problem to track the mixed use performance of products with similar products in the actual use process after leaving the factory. On the other hand, the effectiveness of technical iteration in materials and preparation processes of such products cannot be evaluated due to the lack of supporting data. SUMMARY

[0005] The present application aims to disclose an information interaction system and method based on electric heavy truck battery box, which promotes the mixed use performance of standard battery boxes through the support of shared data.

[0006] To achieve the above purpose, the information interaction system based on the electric heavy truck battery box disclosed by the present application comprises: An intelligent slave board deployed in the battery box, used to report a unique traceability code to the upper-level branch from BMS and monitor the state information of each battery cell in the box body; The slave BMSs respectively arranged in each parallel branch of the battery pack are used to obtain the traceability codes of different battery boxes reported by the intelligent slave boards in the branch, poll the state data of different replaceable battery boxes in the branch to coordinate the energy balance and thermal management strategy among the battery boxes in the branch, and report the key parameters at the branch level to the master BMS; The vehicle-mounted master BMS is used to interact with each slave BMS to determine the positions of the battery boxes in the corresponding branch, and perform overall analysis, state estimation, fault diagnosis and response treatment according to the state information of each slave BMS and each intelligent slave board, and transmit real-time data to the master BMS management platform; The master BMS management platform is used to perform data sharing processing with a remote data collection platform deployed by at least one target manufacturer of the prepared battery boxes according to a pre-agreed data sharing strategy, carries the overall information of each branch uploaded by a single master BMS and the position and state information of the battery boxes prepared by the target manufacturer in each branch in a single shared data, and retains the state information of the battery core when performing unified emptying or zero processing on part of the sensitive data of the battery boxes prepared by other manufacturers in each branch during encapsulation; The remote data collection platform is used to convert each piece of data shared by the master BMS management platform into time sequence data of a corresponding inclusion table, to filter out target objects according to a user's search formula, and then classify and count the fluctuation quantitative indicators of the target objects in a single branch and other manufacturer's battery boxes in different quantity ratios and different modal combinations; the target objects are single battery boxes or a series of battery box clusters with the same material and preparation process attributes based on all deduplicated shared data uploaded by different master BMSs; the modal includes two branch modalities of fault and non-fault.

[0007] Preferably, the master BMS is also used to verify the consistency of the key parameters of each battery box according to the full life cycle data in the traceability platform after the battery replacement is completed; and during the charging interaction process, the charging strategy is formulated according to the full life cycle data of each battery box in the traceability platform and transmitted to the external charging pile.

[0008] Preferably, the sharing strategy includes start and end conditions, content composition, uploading mechanism and encryption mechanism of the single data inclusion triggered by sharing, wherein if there is no battery box of the target manufacturer in the data uploaded by any master BMS, the data does not belong to the shared data of the target manufacturer; the sensitive data at least includes the traceability code and manufacturer information of the battery box prepared by other manufacturers.

[0009] Preferably, when performing classification and statistics of the fluctuation quantitative indicators of the target objects in a single branch and other manufacturer's battery boxes in different quantity ratios and different modal combinations, it specifically includes: In different dimensions of combinations of different quantity ratios and different modalities of the self-produced battery box and battery boxes of other manufacturers, in any dimension, first, the variance of any acquisition parameter in a single shared data in the data sequence composed of battery boxes in the branch is calculated, and then the two types of results of the acquisition parameter based on all target objects in the dimension are calculated; then the two types of results are compared and listed based on the same quantity ratio but different modalities of the two types of results; the two types of results are the average variance and the standard deviation of the variance; the acquisition parameters include: voltage, current, temperature, pressure, insulation resistance, humidity and acceleration for detecting collision.

[0010] Preferably, the remote data collection platform is also used to compare and list the fluctuation quantification indexes of two battery box clusters with different materials and / or different preparation processes in different quantity ratios and different modality combinations in response to user requests.

[0011] Preferably, the remote data collection platform is also used to determine the battery box that causes the fault in each shared data of the branch fault according to a preset fault identification model or algorithm, then mark the fault causing party of the corresponding shared data as self or other manufacturers according to the determination result, and then compare and analyze the fluctuation quantification indexes in different quantity ratios and different fault causing party combinations under the branch fault state.

[0012] To achieve the above purpose, the application also discloses an information interaction method based on electric heavy truck battery boxes, which is applied to the information interaction system based on electric heavy truck battery boxes and comprises: The intelligent slave board reports the unique traceability code from the BMS of the upper level branch and monitors the state information of each cell in the box; The slave BMS deployed in each parallel branch of the battery pack obtains the traceability codes of different battery boxes reported by the intelligent slave board in the branch, polls the state data of replaceable different battery boxes in the branch to coordinate the energy balance and thermal management strategy among the battery boxes in the branch, and reports the key parameters at the branch level to the master BMS; The vehicle-mounted master BMS interacts with each slave BMS to determine the position of each battery box in the corresponding branch, and performs overall analysis, state estimation, fault diagnosis and strain treatment according to the state information of each slave BMS and each intelligent slave board, and transmits real-time data to the master BMS management platform; The master BMS management platform and the remote data collection platform deployed by at least one target manufacturer of the prepared battery box perform data sharing processing according to the pre-agreed data sharing strategy, carry the overall information of each branch uploaded by a single master 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 retain the state information of the cells when performing unified emptying or zero processing on part of the sensitive data of the battery boxes of other manufacturers in the branch during encapsulation; The remote data collection platform converts each piece of data shared by the main BMS management platform into time-series data corresponding to the collection table of the traceability code of each battery box, so as to filter out target objects according to the search formula of the user, and then classify and count the fluctuation quantitative indicators of the target objects in a single branch and other manufacturers' battery boxes in different quantity ratios and different modal combinations. The target objects are a single battery box or a series of battery box clusters with the same material and manufacturing process properties based on all the shared data uploaded by different main BMSs after deduplication. The modal is composed of two branch modes of failure and non-failure.

[0013] The present application has the following beneficial effects: 1. The intelligent slave board, slave BMS, main BMS, main BMS management platform and remote data collection platform realize the sharing of part of the data through division of labor and cooperation; the overall logic is reasonable, the process is orderly, the resource consumption of each interactive node for the newly added processing task of the present application is relatively limited and simple in addition to the conventional functions; and the stability and reliability of the entire system can be ensured.

[0014] 2. The single main BMS uploads the overall information of each branch and the position and state information of the battery box prepared by the target manufacturer in each branch in the shared single data, and the state information of the battery cell is retained when the sensitive data of other battery box manufacturers in each branch is uniformly emptied or set to zero. The processing of sensitive information can avoid mutual denigration between battery box manufacturers, does not involve modification of the original data, and therefore does not affect the multi-party sharing based on the original data; retaining the state information of the battery cell of other battery box manufacturers provides data support for the remote data collection platform to classify and count the fluctuation quantitative indicators of the series target shared data in a single branch and other manufacturers' battery boxes in different quantity ratios and different modal combinations, so as to achieve the purpose of promoting the performance of mixed use of standard battery boxes through the support of shared data.

[0015] 3. Based on the remote data collection platform, on the one hand, the fluctuation quantitative indicators of the series target shared data in a single branch and other manufacturers' battery boxes in different quantity ratios and different modal combinations can be classified and counted, and then the mixed use performance of the product after leaving the factory in the actual use process can be evaluated and tracked based on the fluctuation quantitative indicators; on the other hand, more high-value intelligence can be obtained through big data mining methods such as comparison, for example: the fluctuation quantitative indicators of two battery box clusters with different materials and / or manufacturing processes in different quantity ratios and different modal combinations can be compared to provide supporting data for evaluating the effectiveness of the technical iteration of the battery box product in terms of materials and manufacturing processes.

[0016] The present application will be further described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0017] 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: 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.

[0018] 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

[0019] 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.

[0020] Example 1 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: 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.

[0021] 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.

[0022] 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.

[0023] 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.

[0024] The on-board master BMS is mainly used for interacting with each slave BMS to determine the position of each battery box in the corresponding branch, and overall analysis, state estimation, fault diagnosis and strain treatment according to the state information of each slave BMS and each intelligent slave board, and real-time data is transmitted to the master BMS management platform. Generally, the strain treatment includes but is not limited to coordinating multiple slave BMSs to achieve the balance of voltage, current, temperature and power of each branch, for example, high-voltage interlocking and insulation monitoring can ensure that there is no dangerous potential difference or short circuit between different branches under any working condition.

[0025] In this embodiment, the data obtained and analyzed by the master BMS needs to be uploaded to the master BMS management platform; in addition, it can be further used to check the consistency of the key parameters of each battery box after the battery swap is completed according to the full life cycle data in the traceability platform, that is, to check that the battery types are the same, and the capacity, internal resistance, adaptive voltage platform and SOH parameters are similar to prevent inferior or problem battery boxes from being loaded, and the battery boxes that do not meet the consistency will generate corresponding alarms to transfer to the next level of recycling or perform supporting processing such as recycling and scrapping in the recycling chain. Generally, the battery box with high SOH charges fast, and the battery box with low SOH charges slowly, so a reasonable charging strategy needs to be developed; for this purpose, the master BMS of the present embodiment is also used to develop a charging strategy according to 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; the charging strategy includes charging voltage and charging time and other related information.

[0026] The master BMS management platform is mainly used for performing data sharing processing with the remote data collection platform deployed by at least one target manufacturer of prepared battery boxes according to the pre-agreed data sharing strategy, carrying the overall information of each branch uploaded by a single master 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 retaining the state information of the battery cell when performing unified emptying or zero processing on part of the sensitive data of other battery box manufacturers in each branch during encapsulation. Among them, the target manufacturer can be any standard battery box manufacturer compatible with the system of the present application to promote the technical synchronous iteration of the industry as a whole in this subfield; at the same time, the emptying or zero processing of sensitive data is only limited to special processing in the process of encapsulating the data packet facing the sharing object according to the original data recorded locally to the agreed format, which does not involve changing the original data, and thus does not affect the multi-party sharing based on the original data, and makes the information carried by the shared data facing different remote data collection platforms belonging to different standard battery box manufacturers different.

[0027] In this embodiment, the sharing strategy includes the start and end conditions of triggering the sharing of single data collection (e.g., automatic triggering after detecting a fault and replacing the battery, triggering after the remaining power reaches a preset threshold each time in a non-fault state), content composition, upload mechanism (for setting specific strategies for real-time single upload or centralized batch upload of single shared data generated by different trigger causes), and encryption mechanism. In the setting process of the sharing strategy, the number of data collection and the diversity of evaluation scenarios need to be reasonably balanced and the redundancy of similar meaning shared data should be minimized to facilitate the target manufacturer to effectively evaluate the fluctuation quantitative indicators of the target battery box and other manufacturer battery boxes under different quantity ratios and different modal combinations based on reasonable data size. Among them, if there is no battery box of the target manufacturer in the data uploaded by any main BMS, the data does not belong to the shared data of the target manufacturer (which can greatly reduce the total number of shared data of the system); sensitive data at least includes the traceability code and manufacturer information of the battery box prepared by other manufacturers.

[0028] The remote data collection platform is mainly used to convert each piece of data shared by the main BMS management platform into time series data corresponding to the collection form of each battery box traceability code, so as to filter out target objects according to the user's search formula, and then classify and count the fluctuation quantitative indicators of the target objects in a single branch and other manufacturer battery boxes under different quantity ratios and different modal combinations. The target object is a single battery box or a series of battery box clusters with the same properties of materials and manufacturing processes based on all de-duplicated shared data uploaded by different main BMSs; the modal consists of two branch modes of fault and non-fault.

[0029] Preferably, the remote data collection platform allocates an identity to each piece of shared data collected, and the identity corresponding to each piece of shared data can be recorded in the time series data corresponding to the collection form of each battery box traceability code, so that when there are multiple standard battery boxes of the target manufacturer in a single shared data, subsequent accurate de-duplication processing of all shared data uploaded by different main BMSs based on a series of battery box clusters can be quickly performed according to the identity of the shared data.

[0030] For example, when performing classification and counting of the fluctuation quantitative indicators of the target objects in a single branch and other manufacturer battery boxes under different quantity ratios and different modal combinations, it can specifically include: In different dimensions of different quantity ratios and different modalities of the self-produced battery box and the battery box of other manufacturers, in any dimension, first, the variance of any acquisition parameter in a single shared data in the data sequence composed of each battery box in the branch is calculated, and then the two types of results of the acquisition parameter based on all target objects in the dimension are calculated; then the two types of results are compared and listed, the two types of results are the average variance and the standard deviation of the variance; the acquisition parameters can include: voltage, current, temperature, pressure, insulation resistance, humidity, and acceleration for detecting collision, etc.

[0031] Among them, based on the internal variance of a single shared data (used to measure the fluctuation of each individual itself) to the average variance between different shared data (used to measure the "average fluctuation level" of the target object group) and the standard deviation of the variance (used to measure how much difference there is between the "individual fluctuation level", that is, the stability of the fluctuation), so that this embodiment goes beyond the limitation of only looking at the "average level", and reveals the heterogeneity of the individual differences within the group; it is of great significance for quality control and risk management in different dimensions.

[0032] Further, the remote data collection platform of the embodiment is also used to compare and list the fluctuation quantitative indicators of two battery box clusters with different materials and / or preparation processes in different quantity ratios and different modalities; and then through comparison, supporting data can be provided to objectively evaluate the effectiveness of the technical iteration of the battery box product in terms of materials and preparation processes, etc.

[0033] Further, the remote data collection platform is also used to determine the battery box that causes the fault in each shared data of the branch fault according to a preset fault identification model or algorithm, and then mark the fault causing party of the corresponding shared data as the self party or other manufacturers according to the determination result, and compare and analyze the fluctuation quantitative indicators in different quantity ratios and different fault causing party combinations under the branch fault state; so as to assist the target manufacturer to evaluate the technical advantage distribution of the self standard battery box compared with other manufacturers and seek a better technical iteration direction to reduce the failure rate.

[0034] In summary, the embodiment can classify and count the fluctuation quantitative indicators of the target object in a single branch and other manufacturers' battery boxes in different quantity ratios and different modalities based on the remote data collection platform, and then evaluate and track the mixed use performance of the product after leaving the factory in the actual use process based on the fluctuation quantitative indicators; in addition, more high-value intelligence can be obtained through comparison and other big data mining methods. Among them, the parts not explained in detail by each node (such as: energy balance and heat management strategy, acquisition method of traceability code, and fault analysis, etc.) are all existing technologies necessary for existing battery packs, and are not described in detail.

[0035] Embodiment 2 Based on the same purpose of the above embodiment 1, this embodiment discloses an information interaction method based on the battery box of an electric heavy truck, which is applied to the information interaction system based on the battery box of an electric heavy truck as described above, as shown in the figure, comprising the following steps: Figure 2 Step S1, the intelligent slave board reports the unique traceability code to the upper level branch slave BMS and reports the state information of each battery cell in the box.

[0036] Step S2, the slave BMS deployed in each parallel branch of the battery pack obtains the traceability code of different battery boxes reported by the intelligent slave board in the branch, polls the state data of different battery boxes that can be replaced in the branch to coordinate the energy balance and thermal management strategy between each battery box in the branch, and reports the key parameters at the branch level to the master BMS.

[0037] Step S3, the vehicle-mounted master BMS interacts with each slave BMS to determine the position of each battery box in the corresponding branch, and performs overall analysis, state estimation, fault diagnosis and response treatment according to the state information of each slave BMS and each intelligent slave board, and transmits real-time data to the master BMS management platform.

[0038] Step S4, the master BMS management platform and the remote data collection platform deployed by at least one target manufacturer of the prepared battery box perform data sharing processing according to the pre-agreed data sharing strategy, carry the overall information of each branch uploaded by a single master 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 when encapsulating, the state information of the battery cell is reserved when the sensitive data of other battery box manufacturers in each branch is uniformly emptied or zeroed.

[0039] Step S5, the remote data collection platform converts each piece of data shared by the master BMS management platform into time sequence data corresponding to the inclusion table of each battery box traceability code, so as to filter out target objects according to the user's search formula, and then classify and count the fluctuation quantitative indicators of the target objects under different quantity ratios and different modal combinations with other manufacturer battery boxes in a single branch; the target object is a single battery box or a series of battery box clusters with the same properties of materials and preparation processes based on all the de-duplicated shared data uploaded by different master BMS; the modal is composed of two branch modes of fault and non-fault.

[0040] In summary, the interaction system and method disclosed in the above two embodiments of the present application have at least the following beneficial effects: ​1. The intelligent slave board, the slave BMS, the master BMS, the master BMS management platform and the remote data collection platform realize the sharing of part of data through division of labor and cooperation; the overall logic is reasonable, the process is orderly, and the resource consumption of each interactive node for the newly added processing task of the present application is relatively limited and simple in addition to the conventional functions; the stability and reliability of the entire system can be ensured.

[0041] 2. In the shared single data, the overall information of each branch uploaded by a single master BMS and the position and state information of the battery box prepared by the target manufacturer in each branch are carried, and when packaging, the sensitive data of other battery box manufacturers in each branch are uniformly emptied or zeroed, and the state information of the battery cell is retained. Among them, the processing of sensitive information can avoid mutual denigration between battery box manufacturers, does not involve modification of original data, so it does not affect multi-party sharing based on original data; retaining the state information of the battery cell of other battery box manufacturers provides data support for the remote data collection platform to classify and statistically quantify the fluctuation index of other manufacturers' battery boxes in different quantity ratios and different modal combinations in a single branch based on series target shared data, so as to achieve the purpose of promoting the performance of mixed use of standard battery boxes through the support of shared data.

[0042] 3. Based on the remote data collection platform, on the one hand, it can classify and statistically quantify the fluctuation index of other manufacturers' battery boxes in different quantity ratios and different modal combinations in a single branch based on series target shared data, and then evaluate and track the mixed use performance of products after leaving the factory in actual use process based on the fluctuation index; on the other hand, more high-value intelligence can be obtained through big data mining methods such as comparison, for example: support data can be provided by comparing the fluctuation index of two battery box clusters with different materials and / or preparation processes in different quantity ratios and different modal combinations to evaluate the effectiveness of technical iteration of battery box products in terms of materials and preparation processes.

[0043] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

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 key parameters 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. 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 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.

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. Specifically, 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 that target manufacturer. The sensitive data includes at least the traceability code and manufacturer information of battery boxes manufactured by other manufacturers.

4. The information interaction system based on the battery box of an electric heavy-duty truck according to claim 3, characterized in that, When performing 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 specific aspects include: 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.

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 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.

6. The information interaction system based on the battery box of an electric heavy-duty truck according to claim 5, 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.

7. 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 6, 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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