Power battery asset management platform and method, medium, program product and terminal
Through the power battery asset management platform, the risk control model and rule engine are used to evaluate customer risks and formulate prevention and control strategies, the problem of power battery banks lacking real-time control methods is solved, and real-time control and risk prevention of power battery assets are achieved.
Patent Information
- Application Number
- CN202510480739.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-05-16
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Power battery banks lack real-time control measures after the scale of battery assets has expanded, resulting in illegal behavior of the battery leaser and economic losses, and it is difficult for existing technology to achieve remote asset control of power batteries.
It provides a power battery asset management platform, including battery bank risk control system, data management system, operation management system, asset management system, Internet of Things system and operation controller. It automatically evaluates customer risks through risk control models and risk control rules engines, formulates risk prevention and control strategies, and issues risk control instructions for execution.
Real-time control of power battery assets has been achieved, the possibility of asset losses and loss is reduced, and the risk prevention and processing capabilities of battery banks have been improved.
Smart Images

Figure CN120013678A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of power battery management technology, and in particular to a power battery asset management platform, method, medium, program product and terminal. Background Art
[0002] With the innovation and large-scale application of the "vehicle-battery separation" model for battery-swap heavy trucks, the scale of battery assets of power battery asset holders (referred to as "battery banks") continues to expand. However, after the coupling relationship between the vehicle body and the power battery is broken, the power battery moves with the vehicle, and its controllability, maintenance and other issues gradually become prominent. In the process of industry development, battery lessors defaulted on rent, maliciously concealed and destroyed the old form of batteries, and defrauded and resold battery assets through fictitious transaction backgrounds, causing huge economic losses to battery banks. Therefore, as the scale of battery assets expands, battery banks lack real-time control measures.
[0003] At present, although power batteries are equipped with battery management systems, their functions are mainly concentrated in power battery charge and discharge control, battery balancing, state estimation, fault alarm and other aspects. In addition, the communication modules of the battery management system on heavy-duty truck power batteries have different specifications and standards, and most of them do not even have communication modules, making it difficult to achieve the purpose of remote asset management and control through technical improvements. In addition, although some existing patents mention power battery asset management methods, such as the patent "A method and system for managing electric vehicle power battery assets" with publication number CN102930395A, it only manages battery asset information archives and real-time status, as well as the patent "Risk prediction method and device in loan" with publication number CN112232947A and the patent "User credit scoring method, device, computer equipment, readable storage medium and program product" with publication number CN118536083A, which are limited to evaluating customer credit and do not consider the customer's prudent use of batteries and performance obligations. Summary of the invention
[0004] In view of the above-mentioned shortcomings of the prior art, the present invention provides a power battery asset management platform, method, medium, program product and terminal, which are used to solve the problems in the prior art such as the lack of real-time control means for battery bank assets as the scale of battery assets expands.
[0005] To achieve the above-mentioned purpose and other related purposes, the first aspect of the present application provides a power battery asset management platform, including: a battery bank risk control system, a battery bank data management system, a battery bank operation management system, a battery bank asset management system, a battery bank Internet of Things system and a battery operation controller; the battery bank risk control system is respectively connected to the battery bank data management system, the battery bank operation management system, the battery bank asset management system and the battery bank Internet of Things system; the battery bank data management system is respectively connected to the battery bank operation management system, the battery bank asset management system and the battery bank Internet of Things system; the battery operation controller is connected to the battery bank Internet of Things system; wherein the battery bank data management system is used to collect real-time data from the battery bank operation management system, the battery bank The battery bank asset management system and the battery bank internal data information of the battery bank Internet of Things system; the battery bank risk control system is used to obtain risk control data related to customer battery usage behavior, perform risk control analysis on the risk control data to obtain corresponding risk control measures, and issue risk control instructions according to the risk control measures; the battery bank operation management system, battery bank asset management system and battery bank Internet of Things system are respectively used to receive corresponding risk control instructions and execute corresponding risk control operations; the battery operation controller is used to connect the battery bank Internet of Things system and the battery management system, the battery operation controller collects battery data information from the battery management system and transmits it to the battery bank Internet of Things system, and receives risk control instructions issued by the battery bank Internet of Things system to execute corresponding risk control operations.
[0006] In some embodiments of the first aspect of the present application, the risk control instruction includes any one or more combinations of the following: business control measure instructions, battery control measure instructions, asset preservation control measure instructions, and risk object measure instructions.
[0007] In some embodiments of the first aspect of the present application, the battery bank operation management system, the battery bank asset management system, and the battery bank Internet of Things system are respectively used to receive corresponding risk control instructions to execute corresponding risk control operations, including: the battery bank operation management system receives business control measures instructions and / or risk object measures instructions, executes customer margin adjustment control and customer equity adjustment control according to the business control measures instructions, and / or executes adding customer risk objects and adding vehicle risk objects according to the risk object measures instructions; the battery bank asset management system receives asset preservation control measures instructions, generates an asset preservation work order according to the asset preservation control measures instructions, and executes asset preservation control measures based on the asset preservation work order; the battery bank Internet of Things system receives battery control measures instructions and / or risk object measures instructions, generates charging and discharging control instructions according to the battery control measures instructions, and / or generates vehicle risk object effectiveness instructions according to the risk object measures instructions.
[0008] In some embodiments of the first aspect of the present application, the battery bank risk control system includes: a risk control model management module, which is used to construct and train a risk control model; a risk control rule engine module, which is used to establish a battery risk control strategy matrix, and construct a mapping relationship based on a preset risk assessment information set and the battery risk control strategy matrix to obtain a risk control rule engine; a risk control data management module, which is used to obtain real-time risk control data and pre-process the real-time risk control data; a model operation management module, which is used to input the pre-processed real-time risk control data into the trained risk control model to obtain the risk assessment information corresponding to the real-time risk control data; and input the risk assessment information into the risk control rule engine to obtain the risk control measures corresponding to the risk assessment information.
[0009] In some embodiments of the first aspect of the present application, the battery risk control strategy matrix is established by constructing a mapping relationship from an active intervention strategy set to a risk control measure set.
[0010] In some embodiments of the first aspect of the present application, the process of inputting the risk assessment information into the risk control rule engine to obtain risk control measures corresponding to the risk assessment information includes: inputting the risk assessment information into the risk control rule engine to determine whether the risk assessment information triggers an active intervention strategy; if not triggered, performing manual judgment and modification to trigger the active intervention strategy, and obtaining corresponding risk control measures based on the triggered active intervention strategy; if triggered, directly obtaining corresponding risk control measures based on the triggered active intervention strategy.
[0011] To achieve the above-mentioned purpose and other related purposes, the second aspect of the present application provides a power battery asset management method, which is applied to the power battery asset management platform; the method includes: real-time collection of battery bank internal data information from the battery bank operation management system, the battery bank asset management system and the battery bank Internet of Things system; obtaining risk control data related to customer battery usage behavior, performing risk control analysis on the risk control data to obtain corresponding risk control measures, and issuing risk control instructions based on the risk control measures; receiving the risk control instructions to execute corresponding risk control operations.
[0012] To achieve the above-mentioned purpose and other related purposes, the third aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, and the computer program implements the power battery asset management method when executed by a processor.
[0013] To achieve the above-mentioned purpose and other related purposes, the fourth aspect of the present application provides a computer program product, which includes a computer program code. When the computer program code runs on a computer, the computer implements the power battery asset management method.
[0014] To achieve the above-mentioned purpose and other related purposes, the fifth aspect of the present application provides an electronic terminal, including a memory, a processor and a computer program stored in the memory; the processor executes the computer program to implement the power battery asset management method.
[0015] As described above, the power battery asset management platform, method, medium, program product and terminal provided by the present application have the following beneficial effects: This application can automatically evaluate customer compliance risk and performance risk through risk control models and risk control rule engines during the business operation of the battery bank, accurately formulate risk prevention and control strategies, and quickly realize real-time management and control of power battery assets, effectively reducing the possibility of power battery asset loss and destruction, and significantly improving the risk prevention and handling capabilities of the battery bank. The power battery asset management platform in the vehicle-battery separation mode provided by the present invention can realize the rapid identification, control and preservation of power battery asset risks, thereby effectively improving the accuracy, reliability and safety of power battery asset management. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 Shown is a structural schematic diagram of a power battery asset management platform in one embodiment of the present application.
[0017] Figure 2 Shown is a structural schematic diagram of a battery bank risk control system in one embodiment of the present application.
[0018] Figure 3 Shown is a specific embodiment diagram of a power battery asset management platform in one embodiment of the present application.
[0019] Figure 4 Shown is a structural diagram of a battery bank Internet of Things system issuing instructions in one embodiment of the present application.
[0020] Figure 5 Shown is a structural diagram of a battery bank operation and management system in one embodiment of the present application.
[0021] Figure 6 Shown is a structural diagram of a battery bank asset management system in one embodiment of the present application.
[0022] Figure 7 Shown is a structural schematic diagram of a battery bank Internet of Things system in one embodiment of the present application.
[0023] Figure 8 Shown is a structural schematic diagram of a battery operation controller in one embodiment of the present application.
[0024] Fig. 9 Shown is a schematic diagram of the structure of an electronic terminal in one embodiment of the present application. DETAILED DESCRIPTION
[0025] The following describes the embodiments of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.
[0026] To facilitate understanding of the embodiments of the present application, first Figure 1 Detailed description. Figure 1 The following is a schematic diagram showing the structure of a power battery asset management platform in an embodiment of the present invention. The platform includes: A battery bank risk control system 110, a battery bank data management system 120, a battery bank operation management system 130, a battery bank asset management system 140, a battery bank Internet of Things system 150 and a battery operation controller 170; the battery bank risk control system 110 is respectively connected to the battery bank data management system 120, the battery bank operation management system 130, the battery bank asset management system 140 and the battery bank Internet of Things system 150; the battery bank data management system 120 is respectively connected to the battery bank operation management system 130, the battery bank asset management system 140 and the battery bank Internet of Things system 150; the battery operation controller 170 is connected to the battery bank Internet of Things system 150.
[0027] The battery bank data management system 120 is used to collect the internal data information of the battery bank from the battery bank operation management system, the battery bank asset management system and the battery bank Internet of Things system in real time; the battery bank data management system 120 is also connected to the third-party credit system 160 to collect the third-party credit data information outside the battery bank; The battery bank risk control system 110 is used to obtain risk control data related to the customer's battery usage behavior, perform risk control analysis on the risk control data to obtain corresponding risk control measures, and issue risk control instructions according to the risk control measures; The battery bank operation management system 130, the battery bank asset management system 140 and the battery bank Internet of Things system 150 are respectively used to receive corresponding risk control instructions and execute corresponding risk control operations; The battery operation controller 170 is used to connect the battery bank IoT system 150 and the battery management system. The battery operation controller 170 collects battery data information from the battery management system and transmits it to the battery bank IoT system 150, and receives risk control instructions issued by the battery bank IoT system 150 to perform corresponding risk control operations.
[0028] Specifically, the battery bank data management system 120 obtains data information from the internal and external systems of the battery bank at a certain frequency and stores the obtained data information by category by subject. The internal system of the battery bank includes the battery bank operation management system 130, the battery bank asset management system 140, and the battery bank Internet of Things system 150, and the external system of the battery bank includes the third-party credit system 160. The data information of the battery bank from the battery bank operation management system 130, the battery bank asset management system 140, and the battery bank Internet of Things system 150, as well as the third-party credit data information outside the battery bank, the types of data information obtained from the internal and external systems are shown in Table 1.
[0029]
[0030] Furthermore, combined with Figure 2 It is noted that the battery bank risk control system 110 includes: The risk control model management module 111 is used to build and train the risk control model; The risk control rule engine module 112 is used to establish a battery risk control strategy matrix, construct a mapping relationship based on a preset risk assessment information set and the battery risk control strategy matrix, and obtain a risk control rule engine; The risk control data management module 113 is used to obtain real-time risk control data and pre-process the real-time risk control data; The model operation management module 114 is used to input the pre-processed real-time risk control data into the trained risk control model to obtain risk assessment information corresponding to the real-time risk control data; and input the risk assessment information into the risk control rule engine to obtain risk control measures corresponding to the risk assessment information.
[0031] It should be noted that the risk control personnel of the battery bank first deploy the risk control model in the risk control system of the battery bank, corresponding to the risk control model management module 111, and establish a battery risk control strategy matrix, and establish a risk control rule engine based on the battery risk control strategy matrix, corresponding to the risk control rule engine module 112. The risk control data management module 113 in the risk control system of the battery bank obtains the risk control data, sends the risk control data to the model operation management module 114, and regularly runs the risk control model in the model operation management module 114 and sends the model operation results to the risk control rule engine. The risk control rule engine determines the corresponding customer risk score interval or customer risk level interval based on the model operation results of the risk control model, and then determines the corresponding active intervention strategy and risk control measures based on the customer risk score interval or customer risk level interval, and finally issues the corresponding risk control instructions to the relevant business system based on the risk control measures.
[0032] In some examples, a risk control model is constructed and trained. The risk control model is constructed and trained using machine learning algorithms such as logistic regression, random forest, decision tree, feedforward neural network, etc. The machine learning algorithm is not limited in this embodiment. The input of the risk control model is risk control data, and the output is risk assessment information.
[0033] The specific construction process is as follows: obtain the historical risk control data of the battery bank and the corresponding risk assessment information, preprocess the historical risk control data, the preprocessing methods include outlier detection and processing, missing value processing and dimensionless processing, etc., and then build a risk control model according to the machine learning algorithm, train the constructed risk control model based on the historical risk control data and the corresponding risk assessment information, and obtain the trained risk control model, which is used for the battery bank's power battery risk control management.
[0034] The role of the risk control model is to evaluate the overall performance of the customer, including whether the customer's battery use is real and reliable, the ability to repay the battery rental, the degree of fulfillment of the battery diligence obligations, etc. The historical risk control data input into the risk control model is risk control data related to the customer's battery use behavior. The data types include basic information, battery use, customer credit, electricity use behavior, battery maintenance, etc. The specific description of the risk control data is shown in Table 2. The risk assessment information output by the model includes customer risk score and / or customer risk level. The risk control model can obtain corresponding risk assessment information based on the currently input risk control data related to the customer's battery use behavior.
[0035]
[0036] In some examples, a battery risk control strategy matrix is established, and a mapping relationship is constructed based on a preset risk assessment information set and the battery risk control strategy matrix to obtain a risk control rule engine. The risk assessment information includes a customer risk score and / or a customer risk level, and the preset risk assessment information set is formed by dividing the intervals based on the customer risk score and the customer risk level.
[0037] The battery risk control strategy matrix is established by constructing a mapping relationship between an active intervention strategy set and a risk control measure set. The active intervention strategy set consists of multiple active intervention strategies, including unconditional continued use, conditional continued use, termination of current battery use, and termination of business cooperation. Active intervention strategies are used to actively intervene in customer behavior.
[0038] The risk control measure set includes: business control measures, battery control measures, asset preservation control measures, and risk object measures. Risk control measures are intervention measures used to effectively intervene in risks. The specific values of the risk control measure set are shown in Table 3.
[0039]
[0040] The configuration process of the risk control rule engine is: divide the intervals according to the customer risk score, different customer risk score intervals correspond to different active intervention strategies, different active intervention strategies correspond to different risk control measures, and obtain the final risk control rule engine. The risk control rule engine based on customer risk score is shown in Table 4.
[0041]
[0042] The configuration process of the risk control rule engine also includes: dividing the intervals according to the customer risk level, different customer risk level intervals correspond to different active intervention strategies, different active intervention strategies correspond to different risk control measures, and obtaining the final risk control rule engine. The risk control rule engine based on customer risk level is shown in Table 5.
[0043]
[0044] It should be understood that the model output results in the risk control model include three situations: customer risk score, customer risk level, customer risk score and customer risk level. The output results are input into the risk control rule engine, and the risk control rule engine determines the corresponding risk control measures based on the input, such as obtaining the risk control measures corresponding to the customer risk score to perform the corresponding risk control operation, or obtaining the risk control measures corresponding to the customer risk level to perform the corresponding risk control operation, or obtaining the risk control measures corresponding to the customer risk score and the customer risk level to perform the corresponding risk control operation together. The risk control rule engine is used to determine the risk control measures for the power battery management of the battery bank.
[0045] In some examples, the risk control data management module 113 specifically includes: after the establishment of the risk control model and the risk control rule engine, it can be deployed in the battery bank risk control system of the battery bank to obtain real-time risk control data, run the risk control model and the risk control rule engine, and obtain the risk control measures for the current power battery management. Real-time risk control data is risk control data related to the customer's battery use behavior, and the real-time risk control data is preprocessed, and the preprocessing methods are outlier detection and processing, missing value processing, and dimensionless processing.
[0046] In some examples, after the model operation management module 114 obtains the pre-processed real-time risk control data, it runs the risk control model. The output of the risk control model is the risk assessment information corresponding to the real-time risk control data. The risk assessment information can be a customer risk score, or a customer risk level, or a customer risk score and a customer risk level, which is not limited in this embodiment. Saving the result of the risk control model operation is to save the risk assessment information.
[0047] Furthermore, the risk assessment information is input into the risk control rule engine to obtain risk control measures corresponding to the risk assessment information.
[0048] It should be noted that in the battery bank risk control system 110, the risk control model and the risk control rule engine can be run in real time or regularly, and the regular operation cycle can be set to weekly, half-monthly, or monthly. The process of inputting the risk assessment information into the risk control rule engine to obtain the risk control measures corresponding to the risk assessment information includes: The risk assessment information is input into the risk control rule engine to determine whether the risk assessment information triggers an active intervention strategy; if not triggered, manual judgment and modification are performed to trigger the active intervention strategy, and corresponding risk control measures are obtained according to the triggered active intervention strategy; if triggered, corresponding risk control measures are directly obtained according to the triggered active intervention strategy.
[0049] It should be noted that the risk assessment information corresponding to the real-time risk control data is obtained, and whether to trigger the active intervention strategy is determined based on the risk assessment information. During the operation of the risk control model, there is a situation where the real-time risk control data is insufficient. At this time, the risk assessment information obtained is not sufficient to trigger the active intervention strategy, that is, it is impossible to clearly determine the corresponding active intervention strategy. Therefore, manual judgment and modification are required. The risk control personnel can make comprehensive judgments and modifications based on the risk assessment information output by this risk control model, the customer's historical battery usage behavior score, historical risk object data, customer current behavior data, and expert experience to determine the current active intervention strategy. After determining the current active intervention strategy, the risk control rule engine further determines the corresponding risk control measures based on the battery risk control strategy matrix.
[0050] If the risk assessment information directly triggers the active intervention strategy, the corresponding active intervention strategy can be directly determined based on the risk assessment information, and the corresponding risk control measures can be further determined in the battery risk control strategy matrix.
[0051] Furthermore, after obtaining the risk control measures corresponding to the risk assessment information, corresponding risk control instructions are issued according to the corresponding risk control measures. The risk control instructions include any one or more combinations of the following: business control measures instructions, battery control measures instructions, asset preservation control measures instructions, and risk object measures instructions.
[0052] Among them, combined Figure 3 and Figure 4 It is explained that the battery bank operation management system 130, the battery bank asset management system 140, and the battery bank Internet of Things system 150 are respectively used to receive corresponding risk control instructions and perform corresponding risk control operations, including: The battery bank operation management system 130 receives the business control measure instruction and / or the risk object measure instruction, performs customer margin adjustment control and customer equity adjustment control according to the business control measure instruction, and / or performs adding customer risk objects and adding vehicle risk objects according to the risk object measure instruction; The battery bank asset management system 140 receives the asset preservation control measure instruction, generates an asset preservation work order according to the asset preservation control measure instruction, and executes the asset preservation control measure based on the asset preservation work order; The battery bank IoT system 150 receives a battery control measure instruction and / or a risk object measure instruction, generates a charge and discharge control instruction according to the battery control measure instruction, and / or generates a vehicle risk object effectiveness instruction according to the risk object measure instruction.
[0053] For example, when the risk control measure is a business control measure, a customer margin adjustment instruction and a customer equity adjustment instruction are issued. The control objects of the business control measure include customer margin and customer equity, and the adjustment direction can be either increase or decrease.
[0054] When the risk control measure is a battery control measure, a charge and discharge control instruction is sent to the power battery, and the power battery executes the charge and discharge control instruction. The control objects of the battery control measure include the charging power coefficient and the discharging power coefficient, and the adjustment direction can be either increasing or decreasing. After the power battery receives the charge and discharge control instruction, the battery management system adjusts the charge and discharge voltage or current proportionally during charging or discharging.
[0055] For example, the specific steps for battery control according to the battery control measure instruction are as follows: Step 1: Send a battery power adjustment instruction to the battery operation controller in the power battery; Step 2: If it is an increase instruction, the battery operation controller of the power battery sends an instruction to the battery management system of the power battery, and the battery management system immediately executes the instruction.
[0056] Step 3: If it is a reduction instruction, when the working conditions are suitable, the battery operation controller sends an adjustment instruction to the battery management system, and the battery management system immediately executes the instruction. Among them, suitable working conditions refer to when the battery operation controller detects that the battery speed is 0, or detects that the voltage or current output by the battery management system is less than the preset threshold.
[0057] When the risk control measure is an asset preservation measure, an asset preservation work order is generated, and the asset preservation personnel execute the asset preservation measures according to the asset preservation work order. The asset preservation work order contains three measures: asset maintenance, asset repair, and asset recovery. Asset maintenance mainly involves cleaning and dust removal of batteries and reliability inspection of power batteries; asset repair involves damage assessment and repair of batteries; and asset recovery refers to towing the batteries back to the designated storage warehouse.
[0058] When the risk control measure is a risk object measure, the customer and / or vehicle is added to the platform risk object.
[0059] The battery bank risk control system obtains risk control data related to customer battery usage behavior from the battery bank data management system, automatically evaluates and confirms risk control measures based on the risk control model and risk control rule engine, and issues risk control instructions based on the risk control measures.
[0060] It should be emphasized that the present invention can automatically assess customer compliance risks and performance risks during the business operations of the battery bank, accurately formulate risk prevention and control strategies, and quickly realize real-time management and control of power battery assets, effectively reducing the possibility of loss and destruction of power battery assets, and significantly improving the risk prevention and handling capabilities of the battery bank.
[0061] In some examples, the battery bank risk control system further includes a first communication module, which sends risk control instructions to multiple internal systems of the battery bank based on the first communication module. The internal systems include a battery bank operation management system, a battery bank asset management system, and a battery bank Internet of Things system. As shown in the following table, the first communication module of the battery bank risk control system sends different risk control instructions to each system, so the communication interface is also different.
[0062]
[0063]
[0064]
[0065] The battery bank operation management system is the core business system of the battery bank, which saves and maintains customer information submitted by customers, vehicle information operated by customers, and deposits; generates a battery rental repayment schedule for customers; and classifies customer overdue and other key business information based on customer repayment status. The battery bank operation management system is also used to generate customer incentive plans to improve customer retention; finally, the battery bank operation management system saves and maintains risk object information from customers and vehicles to prevent risk objects from affecting the newly developed battery bank business.
[0066] In some examples, combined Figure 5It is noted that the battery bank operation management system 130 includes: a customer information management module 131 , a vehicle information management module 132 , a deposit management module 133 , a rental management module 134 , an overdue management module 135 , and a risk object management module 136 .
[0067] Among them, the customer information management module 131 is mainly used to maintain and save customer information. The maintenance function is to add, modify, and query customer information. The saved customer information includes: organization code certificate number, actual controller certificate type, actual controller certificate number, registered address information, company size, energy replenishment scenario, profit status, etc.
[0068] The vehicle information management module 132 is mainly used to maintain and save vehicle information. The maintenance function includes adding, modifying, and querying vehicle information. The saved vehicle information includes: license plate number, vehicle VIN code, vehicle model, service time, maximum battery weight, bottom bracket connector type, energy replenishment method, battery replacement method, charging method, etc.
[0069] The margin management module 133 is mainly used to set the margin collection ratio of customers, set whether to give back to customers, the total amount of equity given to customers and the discount ratio of equity given to customers.
[0070] The rent management module 134 is mainly used to maintain and save the rent schedule and customer repayment information. The maintenance function mainly includes adding, modifying, deleting, and querying the rent schedule and customer repayment information. The main information saved by the rent management module 134 is as follows: (1) Rental plan information includes: customer name, electricity package name, repayment amount, repayment period, last repayment date of each month, and monthly repayment amount.
[0071] (2) Customer repayment information includes: customer name, electricity package name, amount to be repaid, total amount repaid, customer's actual monthly repayment amount, and repayment date.
[0072] The overdue management module 135 is mainly used to maintain and save the information of overdue rent. The maintenance function mainly includes adding, modifying, deleting and querying overdue rent. The overdue rent information includes: customer name, electricity package name, customer overdue days, customer overdue total amount, willingness to repay after overdue, etc.
[0073] The risk object management module 136 is mainly used to maintain and save customer risk object information and vehicle risk object information. The maintenance function mainly includes adding, modifying and querying customer and vehicle risk object information. The main information saved by the customer risk object management module is as follows: (1) Customer risk object information includes: organization code number, actual controller certificate type, and actual controller certificate number.
[0074] (2) Vehicle risk object information includes: license plate number and vehicle VIN code.
[0075] In order to facilitate the demonstration that the battery bank operation management system responds to and executes the risk control instructions generated by the battery bank risk control system, the following specific embodiments are provided for illustration.
[0076] The process of the battery bank operation management system executing the "add customer risk object" instruction is as follows: if the type of risk control measures to be adjusted includes the "add risk object" option, first query the customer's organizational structure code certificate number, the customer's actual controller's certificate type and certificate number in the battery bank operation management system according to the customer number, and finally record the customer's organizational structure code certificate number, the customer's actual controller's certificate type and certificate number in the local risk object module. When a new customer's battery rental request comes in, first query the local risk object module according to the organizational structure code certificate number, the customer's actual controller's certificate type and certificate number provided by the new customer. If no hit, accept the new customer's battery rental request.
[0077] The process of the battery bank operation and management system executing the "adjust deposit" instruction is as follows: If the adjustment risk control measure type includes the "adjust deposit" option, the battery bank operation and management system updates the "whether to deduct deposit" and "deposit collection ratio" fields corresponding to the customer in the local battery rental management module according to the message sent by the battery bank risk control system.
[0078] The process of the battery bank operation management system executing the "adjust equity" instruction is as follows: If the risk control measure type includes the "adjust equity" option, the battery bank operation management system updates the "equity adjustment ratio" field corresponding to the customer in the local equity module according to the message sent by the battery bank risk control system. When sending the equity amount to the customer, the actual amount sent = the amount to be sent × the equity adjustment ratio.
[0079] The process of the battery bank operation and management system executing the "adjust battery swap control parameters" instruction is as follows: If the risk control measure type includes the "adjust battery swap control parameters" option, the battery bank operation and management system updates the "whether to allow replacement of large-capacity batteries" and "whether to allow battery swap" fields of the customer in the local charging and swap management module according to the message sent by the battery bank risk control system. When the battery swap station initiates a battery swap request to the cloud, the battery bank operation and management system replies to the battery swap station based on the "whether to allow replacement of large-capacity batteries" and "whether to allow battery swap" fields.
[0080] In some examples, combined Figure 6It is noted that the battery bank asset management system 140 includes: a battery archive module 141, a battery location module 142, an asset management module 143, a personnel management module 144, a claim management module 145, and a communication module 146.
[0081] The battery archive module 141 is mainly used to store basic information of the battery, including: the serial number of the battery, the service life of the battery, the SOH (State of Health) of the battery, the SOC (State of Charge) of the battery, and the appearance picture of the battery.
[0082] The battery location module 142 is mainly used to store the geographical location information of the battery, including: the province, city, district, county, township where the battery is located, and the running track of the battery in the past three days.
[0083] The asset management module 143 is mainly used to receive and save asset preservation measures instructions from the battery bank risk control system, generate battery asset management work orders and distribute them to battery bank asset management personnel, and record asset processing results. The processing results include: (1) Whether the work order is completed, photos of the battery before and after processing, processing time, location during processing, and name of the action performed.
[0084] (2) Whether there are replacement parts, the name of the supplier of the replacement parts, the model of the replacement parts, the product serial number of the replacement parts, the storage location of the power battery, etc.
[0085] The personnel management module 144 is mainly used to save and maintain the name, contact information, location, busyness, number of current tasks of the asset management personnel, and to select asset management personnel based on the battery's pending tasks, location and busyness.
[0086] The claim management module 145 is mainly used to maintain and save the claim information and claim results of customers in the process of battery asset management.
[0087] The communication module 146 is mainly used to maintain the communication link between the battery bank asset management system and the battery bank risk control system.
[0088] In order to facilitate the demonstration that the battery bank asset management system responds to and executes the asset preservation measures instructions generated by the battery bank risk control system, the following specific embodiments are provided for illustration.
[0089] The asset management module of the battery bank asset management system parses the asset preservation measures issued by the battery bank risk control system and generates a battery to-do task, which includes the battery serial number, asset management measure type, battery service life, battery appearance picture, battery location, battery trajectory in the last 2 hours, etc. The personnel management module of the battery bank asset management system provides the name and contact information of the asset management personnel based on the asset management measure type, battery location, and personnel busyness in the battery to-do task. The asset management module of the battery bank asset management system generates a battery work order and sends it to the corresponding asset management personnel.
[0090] In some examples, combined Figure 4 It is explained that the battery bank IoT system is connected to the power battery, charging pile, battery swap station, and vehicle controller through a wide area network. The power battery is connected to the vehicle controller through a power CAN bus, and the power battery is connected to the charging pile and battery swap station through a charging CAN bus. The power battery includes a battery operation controller 170 and a battery management system. The battery bank IoT system is connected to the battery management system through the battery operation controller 170. The battery bank IoT system sends charge and discharge control instructions to the battery management system through the battery operation controller.
[0091] The battery operation controller 170 establishes the uplink and downlink channels between the battery bank IoT system 150 and the battery management system. The battery operation controller is used to collect the battery data information of the battery management system and transmit it to the battery bank IoT system, so that the cloud can grasp the operation status and operation of the battery management system in real time. The battery operation controller receives the risk control instructions issued by the battery bank IoT system to implement risk control operations on the battery management system. For example, the battery operation controller issues charging and discharging control instructions to implement operational management and control of the operating performance of the power battery. The identity authentication of the power battery is achieved through the identity recognition algorithm established in the battery management system. When the identity authentication fails, the high voltage on the power battery is restricted to ensure that the battery assets are under control throughout the process.
[0092] Combination Figure 7 It is noted that the battery bank Internet of Things system 150 includes: a device management module 151, an instruction management module 152, a first security management module 153, a data management module 154, a log management module 155, and a second communication module 156.
[0093] Among them, the device management module 151 is mainly used to maintain and save the binding relationship between smart terminal traffic cards and physical devices such as battery operation controllers, charging piles, and battery swap station control systems, assign a login username and login password to each terminal device, and use the assigned login username and password to identify the smart device that logs in to the battery bank Internet of Things system.
[0094] The instruction management module 152 is mainly used to receive risk control instructions from the battery bank risk control system, and then convert the risk control instructions into power battery charging and discharging control instructions and vehicle risk object effectiveness instructions, and generate corresponding sending tasks according to the different types of instruction receiving objects, and execute the sending instructions according to the generated sending tasks.
[0095] The first security management module 153 is mainly used to store AEAD (Authenticated Encryption with Associated Data) encryption algorithms and their keys, and is also used to accept calls from the instruction management module, generate ciphertext of corresponding instructions inside the first security management module, and return it to the instruction management module.
[0096] The data management module 154 is mainly used to maintain and save data forwarding rules and data format protocols, as well as to receive and save operating status data from various types of equipment such as battery swap stations, charging piles and power batteries; it is also used to convert the operating status data of the equipment into a target format according to the data format protocol, and forward the converted operating status data of the equipment to other systems according to the data forwarding rules.
[0097] The log management module 155 is mainly used to save and query the operation logs of the battery bank Internet of Things system and equipment such as battery swap stations, charging piles and power batteries.
[0098] The second communication module 156 is mainly used to establish and maintain the communication link between the battery bank Internet of Things system and equipment such as battery swap stations, charging piles and power batteries.
[0099] Combination Figure 4 Note: The power battery includes a battery operation controller and a battery management system. The battery bank IoT system sends charge and discharge control instructions to the power battery. The battery operation controller in the power battery receives the charge and discharge control instructions and sends them to the battery management system. The battery operation controller sends discharge control instructions to the battery management system through the power CAN bus. The battery operation controller sends charging control instructions to the battery management system through the charging CAN bus.
[0100] When the battery management system completes the charge and discharge control instructions, the battery management system sends the adjusted maximum discharge current and adjustment reason to the battery operation controller through the power CAN bus, and the battery management system sends the adjusted maximum charge current and adjustment reason to the battery operation controller through the charging CAN bus. The power battery sends the maximum charge current and adjustment reason to the charging pile and the battery swap station respectively through the charging CAN bus, and the power battery sends the maximum discharge current and adjustment reason to the vehicle controller through the power CAN bus.
[0101] In some examples, combined Figure 8 It is noted that the battery operation controller 170 includes: a first login management module 171 , an authentication management module 172 , a task management module 173 , a data acquisition module 174 , a second security management module 175 , and a third communication module 176 .
[0102] Among them, the main function of the first login management module 171 is to send system login and logout requests to the battery bank IoT system. When the system logs in, the battery operation controller obtains the login account and login password assigned to the battery operation controller by the battery bank IoT system from the second security management module, and then initiates a login request.
[0103] The main function of the authentication management module 172 is to implement the authentication function between the battery operation controller and the battery management system. The relevant authentication process is as follows: Step 1: The battery operation controller and the battery management system agree on the authentication master key K; Step 2: The battery operation controller generates a 4-byte random number R1, the battery management system generates a 4-byte random number R2, and the battery operation controller and the battery management system exchange random numbers; Step 3: The battery operation controller uses the authentication master key K to encrypt the random number R2 to generate the ciphertext K2, and the battery management system uses the authentication master key K to encrypt the random number R1 to generate the ciphertext K1; Step 4: The battery operation controller uses K2 to encrypt the random number R1 to generate the ciphertext M1, and the battery management system uses K1 to encrypt the random number R2 to generate the ciphertext M2. The battery operation controller and the battery management system exchange the ciphertexts M1 and M2; Step 5: If the battery operation controller can successfully decrypt and obtain R2 from M2, the battery operation controller successfully authenticates the battery management system; if the battery management system can successfully obtain R1 from M1, the battery management system successfully authenticates the battery operation controller.
[0104] The main functions of the task management module 173 include: receiving cloud instructions from the third communication module, calling the second security management module to decrypt the instructions to generate instruction plaintext; generating a sending delay type according to the instruction plaintext to be sent; calling the second security management module to trans-encrypt the instruction plaintext to generate a new instruction ciphertext; generating and saving instruction sending task records (such as task sequence number, instruction ciphertext, instruction plaintext, sending delay type of this task, task status, failure reason, etc.); sending instructions according to the sending delay type and the current battery condition.
[0105] The main functions of the data acquisition module 174 include: reading the real-time operating data of the battery management system and the battery temperature control system of the power battery during the charging and discharging process from the power CAN bus or the charging CAN bus; and packaging and sending the collected data as a whole in the format agreed upon with the battery bank Internet of Things system.
[0106] The second security management module 175 is used to store the AEAD encryption algorithm and its key, the streaming encryption algorithm and its key, and the login account and password assigned to the battery operation controller by the battery bank IoT system. Among them, the encryption algorithm between the battery operation controller and the battery bank IoT system adopts the AEAD encryption algorithm; the authentication and instruction encryption between the battery management system and the battery operation controller adopts the streaming encryption algorithm.
[0107] The third communication module 176 is mainly used to establish and maintain the communication link between the battery operation controller and the CAN bus, and between the battery operation controller and the battery bank Internet of Things system.
[0108] In some examples, main modules of the battery management system include: a power management module, an authentication module, a first security module, and a fourth communication module.
[0109] The main function of the power management module is to maintain and save the charging power adjustment coefficient and the discharging power adjustment coefficient, as well as to calculate and output the instantaneous current value of the battery. The calculation method is as follows: Step 1: Query the power meter according to the current battery cell temperature and SOC to obtain the current battery current value S; Step 2: Read the power adjustment coefficient δ. If the power battery is in a discharging state, read the discharge power adjustment coefficient δ1 and set δ to δ1; otherwise, read the charge power adjustment coefficient δ2 and set δ to δ2; Step 3: Calculate the current value S' to be output, the calculation formula is S'=S×δ1.
[0110] The authentication module is used to implement the authentication function between the battery operation controller and the battery management system.
[0111] The first security module is mainly used to store the stream encryption algorithm and its key.
[0112] The fourth communication module is mainly used to establish and maintain the communication link between the battery management system and the charging CAN bus and between the battery management system and the charging CAN bus.
[0113] In some examples, the charging station includes a remote information controller, a charging controller, and a human-machine interface.
[0114] The main modules of the remote information controller of the charging pile include: a second login management module, a first risk object module, a second security module, and a fifth communication module.
[0115] Among them, the main function of the second login management module is to send system login and logout requests to the battery bank IoT system. When the system is logged in, the remote information controller of the charging pile obtains the login account and login password assigned to the remote information controller of the charging pile by the battery bank IoT system from the second security module, and then initiates a login request.
[0116] The main function of the first risk object module is to receive the risk object instruction from the battery bank IoT system, call the second security module to decrypt the risk object instruction, and finally save the parsed vehicle VIN code. The specific process of charging pile risk object detection is: the charging pile reads the vehicle VIN code from the charging CAN bus; the charging pile sends the vehicle VIN code to the first risk object module for identification. If it does not hit, the current charging process continues.
[0117] The second security module is mainly used to store AEAD encryption algorithms and their keys, and the login account and password of the remote information controller assigned to the charging pile by the battery bank IoT system.
[0118] The fifth communication module is mainly used to establish and maintain the communication links from the remote information controller of the charging pile to the battery bank Internet of Things system, from the remote information controller of the charging pile to the human-machine interface, and from the remote information controller of the charging pile to the charging controller.
[0119] In some examples, the battery swap station includes a license plate recognition system, a battery swap station control system, and a charging controller.
[0120] The main modules of the battery swap station control system include: a third login management module, a battery swap management module, a gun line charging module, a second risk object module, a third security module, and a sixth communication module.
[0121] Among them, the main function of the third login management module is to send system login and logout requests to the battery bank IoT system. When the system logs in, the third login management module of the station control system obtains the login account and login password assigned to the station control system by the battery bank IoT system from the third security module, and then initiates a login request.
[0122] The main function of the battery swap management module is to control the battery swap process.
[0123] The main function of the gun-line charging module is to control the gun-plug charging process of the battery swap station.
[0124] The main function of the second risk object module is to receive the risk object instruction from the battery bank IoT system, call the third security module to decrypt the risk object instruction, and finally save the parsed license plate number. The specific process of risk object detection in the battery swap station is as follows: Step 1: The station control system of the battery swap station reads the license plate number from the license plate recognition system; Step 2: If the battery swap station is using the local gun line to charge the vehicle, the gun line charging module of the battery swap station control system sends the license plate number to the second risk object module for detection. If it does not hit, continue the current charging process; Step 3: If the battery swap station is in the process of battery swapping, the battery swap module of the station control system of the battery swap station sends the license plate number to the second risk object module for detection. If it is not hit, the current battery swap process continues.
[0125] The third security module is mainly used to store AEAD encryption algorithms and their keys, and the login account and password of the remote information controller assigned to the charging pile by the battery bank IoT system.
[0126] The main function of the sixth communication module is to establish and maintain the communication links from the battery swap station control system to the battery bank Internet of Things system, from the battery swap station control system to the license plate recognition system, and from the battery swap station control system to the charging controller.
[0127] In order to facilitate the demonstration that the battery bank IoT system responds to and executes the battery control measure instructions generated by the battery bank risk control system, the following specific embodiments are provided for illustration.
[0128] Embodiment 1: The process of executing the charge and discharge control instruction of the battery bank Internet of Things system is as follows: The battery bank IoT system uses the AEAD algorithm to encrypt the battery charging and discharging power adjustment instruction I to generate I', and then sends the power adjustment instruction ciphertext I' to the battery operation controller.
[0129] The battery operation controller decrypts and parses the received instruction I', and generates the charging power adjustment instruction I1 and the discharging power adjustment instruction I2 after parsing. Finally, the AEAD algorithm is used to re-encrypt the two instructions I1 and I2 to generate the newly encrypted charging power adjustment instruction I1' and the discharging power adjustment instruction I2'.
[0130] The battery operation controller saves the charging power adjustment instructions I1 and I1' in its task management module and generates a sending task; the battery operation controller saves the discharging power adjustment instructions I2 and I2' in its task management module and generates a sending task for the instructions to be sent. The values of the sending delay type in the sending task are shown in Table 9.
[0131]
[0132] The battery operation controller sends instructions to the CAN (Controller Area Network) bus according to the instruction type and the transmission delay type.
[0133] If it is a "charging power adjustment command", the battery operation controller sends it on the charging CAN bus; if it is a "discharging power adjustment command", it is sent on the power CAN bus.
[0134] If the sending delay type is "0-send immediately", the battery charging and discharging power adjustment instruction is immediately sent to the battery management system.
[0135] If the sending delay type is "1-delayed sending", the battery condition is monitored and a battery charge and discharge power adjustment instruction is sent to the battery management system when any of the following conditions are met. The specific conditions include: Condition 1: When the battery operation controller cannot detect the current data sent by the battery management system within a certain time range; Condition 2: When the battery operation controller detects the current data sent by the battery management system but the current data sent by the battery management system is less than a certain threshold.
[0136] The battery management system uses the AEAD algorithm to decrypt the received charging power adjustment instructions and discharging power adjustment instructions. After successful decryption, the charging power coefficient and the discharging power coefficient are recorded in the power calculation module.
[0137] When the battery management system needs to broadcast current data to the bus, the battery current value S' is calculated as follows: S' = S × charging power factor / discharging power factor. Where S is the instantaneous current of the battery when charging or discharging obtained by looking up the power meter.
[0138] Embodiment 2: The process of executing the vehicle risk object instruction by the battery bank IoT system is as follows: The battery bank IoT system uses the AEAD algorithm to encrypt the vehicle risk object instruction D to generate the ciphertext D', and then sends the vehicle risk object instruction ciphertext D' to the battery operation controller.
[0139] The remote information controller of the charging pile decrypts the received vehicle risk object instruction ciphertext D' and saves the decrypted vehicle VIN code in the local risk object module. When charging, the charging controller of the charging pile obtains the vehicle VIN code from the charging CAN bus, and then sends the VIN code to the local risk object module. If it does not hit, the charging process is started.
[0140] The station control system of the battery swap station decrypts the received vehicle risk object instruction ciphertext D' and saves the decrypted license plate number and VIN code in the local risk object module. When swapping batteries, the station control system obtains the license plate number from the license plate recognition system and then sends the license plate number to the local risk object module. If it does not hit, the battery swap process is started.
[0141] It should be emphasized that the power battery asset management platform in the vehicle-battery separation mode provided by the present invention can realize the rapid identification, control and preservation of power battery asset risks, thereby effectively improving the accuracy, reliability and safety of power battery asset management.
[0142] In the embodiments of the present application, words such as "first" and "second" are used to distinguish the same or similar items with substantially the same functions and effects, and do not limit their order. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit them to be different.
[0143] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" represent examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.
[0144] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: the existence of A alone, the existence of A and B at the same time, and the existence of B alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can represent: a, b, c, ab, ac, bc or abc, where a, b, c can be single or multiple.
[0145] It should also be understood that the division of modules in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present application may be integrated into a processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.
[0146] Fig. 9 is a schematic block diagram of an electronic terminal provided in an embodiment of the present application. Fig. 9 As shown, the electronic terminal includes: at least one processor 901, a memory 902, at least one network interface 903 and a user interface 905. The various components in the device are coupled together through a bus system 904. It can be understood that the bus system 904 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 904 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Fig. 9 In the specification, various buses are labeled as bus systems.
[0147] The user interface 905 may include a display, a keyboard, a mouse, a trackball, a click gun, keys, buttons, a touch pad or a touch screen.
[0148] It is understood that the memory 902 can be a volatile memory or a non-volatile memory, and can also include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM) or a programmable read-only memory (PROM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memory described in the embodiments of the present invention is intended to include but is not limited to these and any other suitable categories of memory.
[0149] The memory 902 in the embodiment of the present invention is used to store various categories of data to support the operation of the electronic terminal 900. Examples of these data include: any executable program for operating on the electronic terminal 900, such as an operating system 9021 and an application 9022; the operating system 9021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application 9022 may include various applications, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services. The power battery asset management method provided in the embodiment of the present invention may be included in the application 9022.
[0150] The method disclosed in the above embodiment of the present invention can be applied to the processor 901, or implemented by the processor 901. The processor 901 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit in the processor 901 or the instruction in the form of software. The above processor 901 may be a general processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 901 can implement or execute the methods, steps and logic block diagrams disclosed in the embodiment of the present invention. The general processor 901 may be a microprocessor or any conventional processor, etc. In combination with the steps of the accessory optimization method provided in the embodiment of the present invention, it can be directly embodied as a hardware decoding processor to execute, or it can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.
[0151] In an exemplary embodiment, the electronic terminal 900 may be implemented by one or more application specific integrated circuits (ASIC), DSP, programmable logic device (PLD), complex programmable logic device (CPLD) to execute the aforementioned method.
[0152] According to the method provided in the embodiments of the present application, the present application also provides a computer program product, which includes: computer program code, when the computer program code is run on a computer, the computer executes the power battery asset management method of any embodiment of the illustrated embodiments.
[0153] According to the method provided in the embodiments of the present application, the present application also provides a computer-readable storage medium, which stores a program code. When the program code runs on a computer, the computer executes the power battery asset management method of any of the illustrated embodiments.
[0154] The terms "component", "module", "system", etc. used in this specification are used to represent computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process, a processor, an object, an executable file, an execution thread, a program and / or a computer running on a processor. By way of illustration, both applications and computing devices running on a computing device can be components. One or more components may reside in a process and / or an execution thread, and a component may be located on a computer and / or distributed between two or more computers. In addition, these components may be executed from various computer-readable media having various data structures stored thereon. Components may, for example, communicate through local and / or remote processes according to signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system and / or a network, such as the Internet interacting with other systems through signals).
[0155] Those of ordinary skill in the art will appreciate that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0156] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0157] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0158] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0159] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0160] In the above embodiments, the functions of each functional unit can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions (programs). When the computer program instructions (programs) are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. Available media may be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., high-density digital video discs (DVDs), or semiconductor media (e.g., solid state disks (SSDs)).
[0161] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.
[0162] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
[0163] In summary, the present application provides a power battery asset management platform, method, medium, program product and terminal. The present application can automatically evaluate customer compliance risk and performance risk through risk control models and risk control rule engines during the business operation of the battery bank, accurately formulate risk prevention and control strategies, and quickly realize real-time management and control of power battery assets, effectively reducing the possibility of power battery asset loss and destruction, and significantly improving the risk prevention and handling capabilities of the battery bank. The power battery asset management platform in the vehicle-battery separation mode provided by the present invention can realize the rapid identification, control and preservation of power battery asset risks, thereby effectively improving the accuracy, reliability and safety of power battery asset management. Therefore, the present application effectively overcomes the various shortcomings in the prior art and has a high industrial utilization value.
[0164] The above embodiments are merely illustrative of the principles and effects of the present application and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.
Claims
1. A power battery asset management platform, characterized in that: include: A battery bank risk control system, a battery bank data management system, a battery bank operation management system, a battery bank asset management system, a battery bank Internet of Things system and a battery operation controller; the battery bank risk control system is connected to the battery bank data management system, the battery bank operation management system, the battery bank asset management system and the battery bank Internet of Things system respectively; the battery bank data management system is connected to the battery bank operation management system, the battery bank asset management system and the battery bank Internet of Things system respectively; the battery operation controller is connected to the battery bank Internet of Things system; wherein, The battery bank data management system is used to collect data information from the battery bank operation management system, the battery bank asset management system and the battery bank Internet of Things system in real time; the battery bank data management system is also connected to a third-party credit system to collect third-party credit data information outside the battery bank; The battery bank risk control system is used to obtain risk control data related to the customer's battery usage behavior, perform risk control analysis on the risk control data to obtain corresponding risk control measures, and issue risk control instructions according to the risk control measures; The battery bank operation management system, battery bank asset management system and battery bank Internet of Things system are respectively used to receive corresponding risk control instructions and execute corresponding risk control operations; The battery operation controller is used to connect the battery bank Internet of Things system and the battery management system. The battery operation controller collects battery data information from the battery management system and transmits it to the battery bank Internet of Things system, and receives risk control instructions issued by the battery bank Internet of Things system to perform corresponding risk control operations.
2. The power battery asset management platform according to claim 1, characterized in that: The risk control instructions include any one or more combinations of the following: business control measures instructions, battery control measures instructions, asset preservation control measures instructions, and risk object measures instructions.
3. The power battery asset management platform according to claim 2, characterized in that: The battery bank operation management system, the battery bank asset management system, and the battery bank Internet of Things system are respectively used to receive corresponding risk control instructions and execute corresponding risk control operations, including: The battery bank operation management system receives a business control measure instruction and / or a risk object measure instruction, performs customer margin adjustment control and customer equity adjustment control according to the business control measure instruction, and / or performs operations of adding a customer risk object and adding a vehicle risk object according to the risk object measure instruction; The battery bank asset management system receives the asset preservation control measure instruction, generates an asset preservation work order according to the asset preservation control measure instruction, and executes the asset preservation control measure based on the asset preservation work order; The battery bank IoT system receives a battery control measure instruction and / or a risk object measure instruction, generates a charge and discharge control instruction according to the battery control measure instruction, and / or generates a vehicle risk object effectiveness instruction according to the risk object measure instruction.
4. The power battery asset management platform according to claim 1, characterized in that: The battery bank risk control system includes: Risk control model management module, used to build and train risk control models; A risk control rule engine module is used to establish a battery risk control strategy matrix, construct a mapping relationship based on a preset risk assessment information set and the battery risk control strategy matrix, and obtain a risk control rule engine; A risk control data management module, used to obtain real-time risk control data and pre-process the real-time risk control data; The model operation management module is used to input the pre-processed real-time risk control data into the trained risk control model to obtain risk assessment information corresponding to the real-time risk control data; and input the risk assessment information into the risk control rule engine to obtain risk control measures corresponding to the risk assessment information.
5. The power battery asset management platform according to claim 4, characterized in that: The battery risk control strategy matrix is established by constructing a mapping relationship from an active intervention strategy set to a risk control measure set.
6. The power battery asset management platform according to claim 4, characterized in that: The process of inputting the risk assessment information into the risk control rule engine to obtain risk control measures corresponding to the risk assessment information includes: Inputting the risk assessment information into the risk control rule engine to determine whether the risk assessment information triggers an active intervention strategy; If it is not triggered, manual judgment and modification are performed to trigger the active intervention strategy, and corresponding risk control measures are obtained according to the triggered active intervention strategy; If triggered, the corresponding risk control measures are obtained directly according to the triggered active intervention strategy.
7. A power battery asset management method, characterized in that: Applied to a power battery asset management platform according to any one of claims 1 to 6; the method comprises: Real-time collection of battery bank internal data information from the battery bank operation management system, battery bank asset management system and battery bank Internet of Things system; Acquire risk control data related to the customer's battery usage behavior, perform risk control analysis on the risk control data to obtain corresponding risk control measures, and issue risk control instructions based on the risk control measures; Receive the risk control instruction and execute corresponding risk control operation.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the power battery asset management method of claim 7 is implemented.
9. A computer program product, characterized in that The computer program product includes computer program code, and when the computer program code is executed on a computer, the computer implements the power battery asset management method as claimed in claim 7.
10. An electronic terminal comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the power battery asset management method of claim 7.
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