Truck starting battery management system

By designing a truck-start battery management system that integrates modules such as data acquisition, processing and analysis, and recycling resource management, the shortcomings of traditional systems in data monitoring and analysis are solved, real-time, accurate monitoring of battery status and intelligent energy management are achieved, which extends the battery life and improves the vehicle's operating capabilities.

CN120191253AActive Publication Date: 2025-06-24无锡精芯微科技有限公司
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Patent Information

Application Number
CN202510424865.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-07
Publication Date
2025-06-24
Estimated Expiration
2045-04-07

AI Technical Summary

Technical Problem

Traditional truck startup battery management systems have problems of insufficient real-time and accuracy in data monitoring and analysis, resulting in large electricity consumption, accelerated battery aging and inaccurate battery status assessment, affecting the normal start-up and operation of the vehicle.

Method used

A truck-starting battery management system including a data acquisition module, a battery data processing and analysis module, a regeneration resource module, a management decision module, a user interaction module and a data storage module are designed. The system monitors the battery status in real time through high-precision sensors and high-speed data acquisition technology, optimizes the processing using data preprocessing, voltage warning and temperature compensation mechanisms, and manages energy through the renewable resource module.

Benefits of technology

Real-time and accurate monitoring and management of truck battery status is achieved, power consumption is reduced, battery life is extended, and the normal starting and operation capabilities of the vehicle are improved through intelligent energy allocation.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the technical field of vehicle electronics, in particular to a truck starting battery management system. The battery data and the sensor parameters acquired by the data acquisition module are acquired, the battery data and the sensor parameters are optimized by the data preprocessing unit arranged in the module, the change of the battery state is monitored in real time based on the battery data and the sensor parameters, and the battery state information is output according to the real-time monitoring result. The battery state of the truck can be effectively obtained, subsequent analysis is facilitated, and data support is provided for battery health monitoring; the battery state information obtained by the battery data processing and analyzing module is input into the renewable resource use decision-making unit to obtain a renewable resource decision-making instruction, and the renewable resource decision-making instruction is sent to the management decision-making module, so that the burden of the main battery of the truck can be relieved through the auxiliary storage battery, and the failure of the main battery in a resting state is avoided. A high-precision sensor and a high-speed data acquisition technology can avoid excessive consumption of a main battery.
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Description

Technical Field

[0001] The present invention relates to the field of vehicle electronics, and particularly to a truck starting battery management system. Background Art

[0002] In the fields of electric trucks and hybrid trucks, the truck starting battery management system (BMS) occupies a crucial position. It undertakes the important responsibilities of monitoring, managing, and optimizing the use of battery packs, and plays a decisive role in ensuring the safe, efficient, and long-term operation of the batteries. With the rapid development of the electric truck market and the continuous progress of related technologies, the importance of BMS has become increasingly prominent. In practical applications, BMS relies on various sensors to continuously monitor key parameters of the battery such as voltage, current, and temperature, and evaluates and analyzes the battery state based on these parameters. Once abnormal situations such as overcharging, over-discharging, and overheating of the battery are detected, BMS will quickly take corresponding protection measures to prevent the battery from being damaged or causing safety accidents.

[0003] However, the traditional truck starting battery management system has obvious defects in data monitoring and analysis. To achieve real-time and accurate monitoring and analysis, it is usually necessary to equip high-precision sensors and high-speed data acquisition technologies. However, when the truck is idle, these devices still continue to work, resulting in a significant increase in power consumption. Excessive power consumption will not only generate additional heat, accelerate battery aging, but also may cause battery discharge, seriously affecting the normal start and operation of the vehicle. In addition, the accuracy of the traditional system in evaluating the battery state also needs to be improved. It is difficult to comprehensively consider the influence of various complex factors on the battery state, and it is unable to perform intelligent energy management according to the actual situation of the battery, unable to fully utilize the battery performance, and not conducive to extending the battery service life. Therefore, it is urgent to develop a system that can effectively manage the truck starting battery, accurately evaluate the battery state, and achieve intelligent energy distribution. Summary of the Invention

[0004] The present invention provides a truck starting battery management system to solve the above technical problems.

[0005] In a first aspect of the present invention, a truck starting battery management system is provided, which includes a data acquisition module, a battery data processing and analysis module, a renewable resource module, a management decision module, a user interaction module, and a data storage module.

[0006] The data acquisition module turns on the power supply path of the high-precision sensor, collects the battery data signal of the truck battery pack through the high-precision sensor, and the high-precision sensor self-checks to collect the sensor parameter signal. The analog-to-digital converter reads the battery data signal and the sensor parameter signal at a preset sampling rate and converts them to obtain the corresponding digital data, that is, the battery data of the truck battery pack and the sensor parameters of the high-precision sensor are obtained. And through high-speed data acquisition technology, the battery data and sensor parameters are transmitted in real time, and the battery data and sensor parameters are transmitted in parallel to the data storage module.

[0007] The battery data processing and analysis module is used to obtain the battery data and sensor parameters collected by the data acquisition module. The built-in data preprocessing unit in the module optimizes the battery data and sensor parameters. The optimization processing includes preprocessing, filtering and denoising. The change of the battery state is monitored in real time based on the battery data and sensor parameters, and the battery state information is output according to the real-time monitoring result. The specific analysis is as follows:

[0008] The time line of data acquisition is segmented according to the preset time interval, and each segmented time period is marked as a monitoring time period. The voltage data corresponding to each monitoring time period is obtained based on the battery data, and the voltage data is input into the established voltage warning mechanism to obtain the corresponding voltage response stage. When it is detected that the voltage data is in the voltage warning state, the battery terminal voltage V cell , charge and discharge current I and polarization capacitance C1 are obtained based on the battery data corresponding to the voltage warning state. Using the differential equation of the equivalent circuit model V cell =V ocv -I·R0 - R1·∫I·e( -t / η )dt, the open-circuit voltage V ocv of the battery corresponding to the voltage warning state is calculated; where, R0 and R1 represent the ohmic internal resistance and polarization resistance respectively; η = R1·C1, which represents the time constant and determines the voltage response speed; based on the pre-designed V ocv →SOC mapping table of the historical truck starting battery, the pre-charge percentage of the battery data corresponding to the voltage warning state is obtained.

[0009] Based on the sensor data, the sensor parameters corresponding to the voltage warning state are obtained to get the measured battery temperature T measured of the starting battery, and the reference temperature T ref unified by laboratory calibration corresponding to the truck starting battery is obtained; the measured battery temperature T measured and the reference temperature T ref are compared by a comparator to obtain the temperature compensation trend; when T measured < T refWhen it indicates that the measured battery temperature is less than the reference temperature, the output corresponding temperature compensation trend is positive compensation; when T measured > T ref When it indicates that the measured battery temperature is greater than the reference temperature, the output corresponding temperature compensation trend is negative compensation; obtain the reference temperature T ref corresponding to the preset normal reference range of the reference temperature [T ref-mini , T ref-max . When T measured belongs to the normal reference range of the reference temperature [T ref-mini , T ref-max , the output corresponding temperature compensation trend is no compensation; when the temperature compensation trend corresponds to positive compensation and negative compensation, the open circuit voltage V ocv-corr after compensation is obtained through the temperature compensation mechanism. Compare the open circuit voltage after compensation with the V ocv →SOC mapping table to obtain the compensated power percentage of the battery data corresponding to the voltage warning state after compensation.

[0010] Based on the battery data and sensor parameters, obtain the battery state information, the battery space temperature, and the internal resistance value of the battery; input the battery state information, the battery space temperature, and the internal resistance value into the power analysis unit for analysis to obtain the battery power state information, and mark the battery power state information and the compensated power percentage as the battery state information.

[0011] As a further improvement of the present invention, the voltage warning mechanism is specifically: obtain the upper voltage warning value and the lower voltage warning value given by the pre - design, and divide the voltage data into multiple voltage response stages based on the upper voltage warning value and the lower voltage warning value;

[0012] When the voltage data is greater than the upper voltage warning value, the output corresponding voltage response stage is the full - voltage state;

[0013] When the voltage data is greater than the lower voltage warning value and less than the upper voltage warning value, the output corresponding voltage response stage is the healthy - voltage state;

[0014] When the voltage data is less than the lower voltage warning value, the output corresponding voltage response stage is the voltage warning state.

[0015] As a further improvement of the present invention, the temperature compensation mechanism is specifically: use the temperature compensation formula V ocv-corr = V ocv +α·(T ref -T measured ) to calculate the open circuit voltage V ocv-corr after compensation; where α represents the temperature coefficient.

[0016] As a further improvement of the present invention, the analysis of the power analysis unit is specifically:

[0017] Detect the battery state information to obtain that the battery operating states of the truck starting battery correspond to the charging state, the resting state, and the operating state, and mark the battery space temperatures corresponding to each operating state as Set corresponding space temperature thresholds based on each battery operating state and mark them respectively as When the battery space temperature corresponding to each battery operating state is greater than the corresponding space temperature threshold, obtain the moment when the battery space temperature exceeds the space temperature threshold during the measurement corresponding to each battery operating state, and record it as the abnormal moment; based on the abnormal moment and use a timer to record the abnormal duration when the battery space temperature exceeds the space temperature threshold, thus obtaining the temperature rise rate corresponding to the charging state The temperature rise rate corresponding to the resting state The temperature rise rate corresponding to the operating state

[0018] When the temperature rise rate corresponding to each battery operating state exceeds the upper limit rate of temperature rise given by the corresponding design, according to the internal resistance correction formula Calculate the corrected internal resistance R corr ; where, R measured Represents the measured internal resistance value; further, use the available power calculation formula Obtain the available power P corresponding to each operating state available ; Take the available power corresponding to each operating state as the corresponding battery power state information.

[0019] The regenerative resource module, the power-on path includes the main power-on path corresponding to the truck starting battery and the auxiliary power-on path corresponding to the auxiliary battery of the regenerative resource. Input the battery state information obtained by the battery data processing and analysis module into the regenerative resource usage decision unit. The regenerative resource usage decision unit outputs a regenerative resource decision instruction and sends the regenerative resource decision instruction to the management decision module.

[0020] As a further improvement of the present invention, the regenerative resource usage decision unit is specifically:

[0021] Step 1: Obtain the available power and the compensation power percentage corresponding to the main power-on path based on the battery state information;

[0022] Step 2: Conduct resource regulation analysis based on the available power and the compensation power percentage to obtain energy compensation information;

[0023] Step 3: Generate a corresponding energy compensation instruction according to the energy compensation information;

[0024] Step 4: Conduct energy recovery analysis based on the energy compensation information to obtain an energy recovery instruction.

[0025] As a further improvement of the present invention, resource regulation analysis is performed according to the available power and the percentage of compensated power, specifically as follows:

[0026] Obtain the battery operating state of the truck starting battery, namely the charging state, the resting state, and the operating state; when the truck starting battery is in the charging state, mark the auxiliary storage battery as the main power supply battery; when the truck starting battery is in the resting state, mark the auxiliary storage battery as the main power supply battery;

[0027] When the truck starting battery is in the operating state, the truck starting battery and the auxiliary storage battery are combined to supply power in proportion. The percentage of the power of the truck starting battery is divided into multiple power grading intervals according to a predetermined power interval. The power grading intervals are sorted in descending order according to the power percentage corresponding to the maximum value of each interval through a sorting algorithm, and the available power P corresponding to a certain power grading interval is obtained. available And obtain the current load power corresponding to the current truck. The current load power is compared with the available power through a ratio calculator to obtain a load occupancy ratio. The load occupancy ratio is divided into multiple load occupancy intervals according to the occupancy ratio intervals given by the design. Each load occupancy interval is designed with a compensation division state. The load occupancy ratios corresponding to the power grading intervals are matched with the multiple load occupancy intervals to obtain the corresponding compensation division state, and the output powers of the truck starting battery and the auxiliary storage battery are obtained according to the compensation division state.

[0028] As a further improvement of the present invention, energy recovery analysis is performed based on energy compensation information, specifically as follows: The state of the truck is identified by a state recognition unit. When the truck is decelerating or going downhill, energy is recovered through regenerative braking technology, and the power of the auxiliary storage battery is identified to obtain the power of the auxiliary storage battery, and the healthy battery power given by the design is obtained. When the power of the auxiliary storage battery is greater than the healthy battery power, the recovered energy is preferentially converted to the truck starting battery.

[0029] The management decision module is used to receive the regenerative resource decision instruction, and detect the regenerative resource decision instruction to obtain the energy compensation instruction and the energy recovery instruction; based on the energy compensation instruction, adjust the output relationship of the main power-on path and the auxiliary power-on path; based on the energy recovery instruction, perform energy recovery, and convert and store the recovered energy to the auxiliary storage battery corresponding to the auxiliary power-on path.

[0030] The user interaction module displays the relevant data of the truck starting battery and the auxiliary storage battery in real time through a display screen.

[0031] The data storage module receives the data of each module through data transmission technology and stores the data; the storage includes battery data, sensor parameters, battery state information, and regenerative resource decision instructions.

[0032] In the technical solution provided by the present invention, compared with the prior art, the beneficial effects are as follows:

[0033] 1. The present invention obtains the battery data and sensor parameters collected by the data acquisition module, and the built-in data preprocessing unit of the module optimizes the battery data and sensor parameters, monitors the changes in the battery state in real time based on the battery data and sensor parameters, and outputs the battery state information according to the real-time monitoring results, which can effectively obtain the battery state of the truck for subsequent analysis and provide data support for battery health monitoring.

[0034] 2. The present invention inputs the battery state information obtained by the battery data processing and analysis module into the renewable resource usage decision unit. The renewable resource usage decision unit outputs a renewable resource decision instruction and sends the renewable resource decision instruction to the management decision module, which can reduce the burden on the main battery of the truck by assisting in storing the battery and avoid excessive consumption of the main battery by high-precision sensors and high-speed data acquisition technologies during the rest state. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. The following drawings are not deliberately drawn to scale in actual size, and the focus is on showing the gist of the present application.

[0036] Figure 1 is the principle block diagram of the present invention;

[0037] Figure 2 is the flow schematic diagram of the renewable resource usage decision unit. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] For ease of understanding, the following describes the specific process of the embodiments of the present invention. Please refer to Figure 1-2 , in an embodiment of the truck starting battery management system in the embodiments of the present invention, it includes:

[0040] After the data acquisition module turns on the power supply path of the high-precision sensor, it acquires the battery data signal of the truck battery pack through the high-precision sensor. The high-precision sensor performs self-check and acquires the sensor parameter signal, and reads the battery data signal and the sensor parameter signal at a preset sampling rate through the analog-to-digital converter and converts them to obtain the corresponding digital data, that is, obtains the battery data of the truck battery pack and the sensor parameters of the high-precision sensor; and transmits the battery data and the sensor parameters in real time through the high-speed data acquisition technology, and transmits the battery data and the sensor parameters in parallel to the data storage module.

[0041] The battery data processing and analysis module obtains the battery data and sensor parameters collected by the data acquisition module. The built-in data preprocessing unit in the module performs optimization processing on the battery data and sensor parameters. The optimization processing includes preprocessing, filtering, and denoising. It monitors the change of the battery state in real time based on the battery data and sensor parameters, and outputs the battery state information according to the real-time monitoring results. The specific analysis is as follows:

[0042] Divide the time line of data acquisition at the preset time interval, mark each divided time period as a monitoring time period, obtain the voltage data corresponding to each monitoring time period based on the battery data, input the voltage data into the established voltage warning mechanism to obtain the corresponding voltage response stage. When it is detected that the voltage data is in the voltage warning state, obtain the battery terminal voltage V cell , charging and discharging current I, and polarization capacitance C1 based on the battery data corresponding to the voltage warning state. Use the differential equation of the equivalent circuit model V cell =V ocv -I·R0 - R1·∫I·e( -t / η )dt to calculate the open-circuit voltage V of the battery corresponding to the battery data in the voltage warning state ocv ; where, R0 and R1 represent the ohmic internal resistance and the polarization resistance respectively; η = R1·C1, which represents the time constant and determines the voltage response speed; based on the pre-designed V ocv →SOC mapping table of the historical truck starting battery, obtain the pre-charge percentage of the battery data corresponding to the voltage warning state.

[0043] Obtain the measured battery temperature T of the starting battery based on the sensor data corresponding to the voltage warning state measured , and obtain the reference temperature T unified by laboratory calibration corresponding to the truck starting battery ref ; Compare the measured battery temperature T measured with the reference temperature T ref through a comparator to obtain the temperature compensation trend; when T measured < T refWhen it indicates that the measured battery temperature is less than the reference temperature, the corresponding temperature compensation trend output is positive compensation; when T measured > T ref When it indicates that the measured battery temperature is greater than the reference temperature, the corresponding temperature compensation trend output is negative compensation; obtain the reference temperature T ref corresponding to the preset normal reference range of the reference temperature [T ref-mini , T ref-max , when T measured belongs to the normal reference range of the reference temperature [T ref-mini , T ref-max , the corresponding temperature compensation trend output is no compensation; when the temperature compensation trend corresponds to positive compensation and negative compensation, the open circuit voltage V ocv-corr after compensation is obtained through the temperature compensation mechanism, and the open circuit voltage after compensation is compared with the V ocv →SOC mapping table to obtain the compensated power percentage of the battery data corresponding to the voltage warning state after compensation.

[0044] Based on the battery data and sensor parameters, obtain the battery state information, battery space temperature, and battery internal resistance value; input the battery state information, battery space temperature, and battery internal resistance value into the power analysis unit for analysis to obtain the battery power state information, and mark the battery power state information and the compensated power percentage as the battery state information.

[0045] It should be noted that there is a certain relationship between the open circuit voltage of the battery and the temperature. Generally, at a lower temperature, the chemical reaction rate inside the battery will slow down, and the internal resistance of the battery will increase, which will cause the open circuit voltage of the battery to be lower than the open circuit voltage at the reference temperature; at a higher temperature, the chemical reaction rate inside the battery will accelerate, and the internal resistance of the battery will decrease, which will make the open circuit voltage of the battery higher than the open circuit voltage at the reference temperature.

[0046] Furthermore, the voltage warning mechanism is specifically as follows: obtain the upper voltage warning value and the lower voltage warning value given by the pre-design, and divide the voltage data into multiple voltage response stages based on the upper voltage warning value and the lower voltage warning value;

[0047] When the voltage data is greater than the upper voltage warning value, the corresponding voltage response stage output is the voltage full state;

[0048] When the voltage data is greater than the lower voltage warning value and less than the upper voltage warning value, the corresponding voltage response stage output is the voltage healthy state;

[0049] When the voltage data is less than the lower voltage warning value, the corresponding voltage response stage output is the voltage warning state.

[0050] Furthermore, the temperature compensation mechanism is specifically as follows: use the temperature compensation formula V ocv-corr= V ocv + α·(T ref - T measured ) Calculate the open-circuit voltage V after compensation ocv-corr ; where α represents the temperature coefficient.

[0051] Furthermore, the power analysis unit analyzes as follows:

[0052] Detect the battery state information to obtain the battery operating states of the truck starting battery corresponding to the charging state, resting state, and operating state. Mark the battery space temperature corresponding to each operating state as Set corresponding space temperature thresholds based on each battery operating state and mark them respectively as When the battery space temperature corresponding to each battery operating state is greater than the corresponding space temperature threshold, obtain the moment when the battery space temperature exceeds the space temperature threshold during the measurement corresponding to each battery operating state, and record it as the abnormal moment; based on the abnormal moment and record the abnormal duration when the battery space temperature exceeds the space temperature threshold through a timer, thus obtaining the temperature rise rate corresponding to the charging state The temperature rise rate corresponding to the resting state The temperature rise rate corresponding to the operating state

[0053] When the temperature rise rate corresponding to each battery operating state exceeds the upper limit rate of temperature rise given by the corresponding design, calculate the corrected internal resistance R according to the internal resistance correction formula ; where R corr represents the measured internal resistance value; furthermore, use the available power calculation formula measured to obtain the available power P corresponding to each operating state ; Take the available power corresponding to each operating state as the corresponding battery power state information. available

[0054] The renewable resource module inputs the battery state information obtained by the battery data processing and analysis module into the renewable resource usage decision unit. The renewable resource usage decision unit outputs a renewable resource decision instruction and sends the renewable resource decision instruction to the management decision module. The power-on path includes the main power-on path corresponding to the truck starting battery and the auxiliary power-on path corresponding to the auxiliary battery of the renewable resource.

[0055] Furthermore, the specific steps of the renewable resource usage decision unit are as follows:

[0056] Step 1: Obtain the available power and compensation power percentage corresponding to the main power-on path based on the battery state information;

[0057] ​Step 2: Conduct resource regulation analysis based on the available power and the compensation power percentage to obtain energy compensation information; specifically: Obtain the battery operating status of the truck starting battery, i.e., the charging status, the resting status, and the operating status; When the truck starting battery is in the charging status, mark the auxiliary storage battery as the main power supply battery; When the truck starting battery is in the resting status, mark the auxiliary storage battery as the main power supply battery; When the truck starting battery is in the operating status, the truck starting battery and the auxiliary storage battery are combined to supply power in proportion. Divide the power percentage of the truck starting battery into multiple power grading intervals according to a predetermined power interval. Sort the power grading intervals in descending order according to the power percentage corresponding to the maximum value of each interval through a sorting algorithm, and obtain the available power P corresponding to a certain power grading interval. available And obtain the current load power corresponding to the current truck. Obtain the load occupancy ratio by dividing the current load power by the available power through a ratio calculator. Divide the load occupancy ratio into multiple load occupancy intervals according to the occupancy intervals given by the design. Each load occupancy interval is designed with a compensation division status. Match the load occupancy ratios corresponding to the power grading intervals with the multiple load occupancy intervals to obtain the corresponding compensation division status, and obtain the output powers of the truck starting battery and the auxiliary storage battery according to the compensation division status.

[0058] It should be noted that obtain the remaining power percentage of the auxiliary storage battery. When the remaining power percentage is less than the protection power percentage given by the pre-design, replace the truck starting battery with the main power supply battery; Obtain the corresponding load occupancy ratio according to the compensation division status. When the load occupancy ratio is closer to 1, in the corresponding compensation division status, the output power of the auxiliary storage battery is greater.

[0059] Step 3: Generate a corresponding energy compensation instruction according to the energy compensation information.

[0060] Step 4: Conduct energy recovery analysis based on the energy compensation information to obtain an energy recovery instruction; specifically: Identify the status of the truck through a status identification unit. When the truck is decelerating or going downhill, recover the energy through regenerative braking technology, identify the power of the auxiliary storage battery to obtain the power of the auxiliary storage battery, and obtain the healthy battery power given by the design. When the power of the auxiliary storage battery is greater than the healthy battery power, preferentially convert the recovered energy to the truck starting battery.

[0061] The management decision module receives the regenerative resource decision instruction, and detects the regenerative resource decision instruction to obtain the energy compensation instruction and the energy recovery instruction; Adjust the output relationship of the main power-on path and the auxiliary power-on path based on the energy compensation instruction; Conduct energy recovery based on the energy recovery instruction, and convert and store the recovered energy to the auxiliary storage battery corresponding to the auxiliary power-on path.

[0062] The user interaction module displays the relevant data of the truck starting battery and the auxiliary storage battery in real time through the display screen; users can view it in real time through the in-vehicle display screen and the APP on the mobile terminal.

[0063] The data storage module receives the data of each module through data transmission technology and stores the data; the storage includes battery data, sensor parameters, battery status information, and renewable resource decision instructions.

[0064] As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A truck starting battery management system, comprising a data acquisition module, a user interaction module and a data storage module, characterized in that: Also includes: The battery data processing and analysis module is used to obtain the battery data and sensor parameters collected by the data acquisition module. The built-in data preprocessing unit of the module optimizes the battery data and sensor parameters, monitors the changes of the battery status in real time based on the battery data and sensor parameters, and obtains the battery status information according to the real-time monitoring results output; The renewable resource module inputs the battery status information obtained by the battery data processing and analysis module into the renewable resource use decision unit, and the renewable resource use decision unit outputs a renewable resource decision instruction, and sends the renewable resource decision instruction to the management decision module; A management decision module is used to receive renewable resource decision instructions, and detect the renewable resource decision instructions to obtain energy compensation instructions and energy recovery instructions; Adjusting the output relationship between the main power-on path and the auxiliary power-on path based on the energy compensation instruction adjustment; Energy recovery is performed based on the energy recovery instruction, and the recovered energy is converted and stored in the auxiliary storage battery corresponding to the auxiliary power-on path.

2. The truck starting battery management system according to claim 1, characterized in that: The data acquisition module is connected to the power-on path of the high-precision sensor, and the battery data signal of the truck battery pack is collected by the high-precision sensor. The high-precision sensor self-checks and collects the sensor parameter signal, and the battery data signal and the sensor parameter signal are read by the analog-to-digital converter at a preset sampling rate and converted to obtain corresponding digital data, that is, the battery data of the truck battery pack and the sensor parameters of the high-precision sensor are obtained; and the battery data and the sensor parameters are transmitted in real time through the high-speed data acquisition technology, and the battery data and the sensor parameters are transmitted to the data storage module in parallel.

3. The truck starting battery management system according to claim 1, characterized in that: The battery status information is obtained according to the real-time monitoring result output, and the specific analysis is as follows: The data acquisition timeline is divided according to the pre-designed time intervals, and each time period obtained by the division is marked as a monitoring time period. The voltage data corresponding to each monitoring time period is obtained based on the battery data, and the voltage data is input into the established voltage warning mechanism to obtain the corresponding voltage response stage. When the voltage data is detected to be in the voltage warning state, the battery terminal voltage V is obtained based on the battery data corresponding to the voltage warning state. cell , charge and discharge current I and polarization capacitance C1, using the differential equation of the equivalent circuit model Calculate the battery open circuit voltage V corresponding to the battery data of the voltage warning state ocv ; R0, R1 represent the ohmic internal resistance and polarization resistance respectively; η = R1·C1, represented as the time constant; V given by the pre-design of historical truck starting batteries ocv →The SOC mapping table obtains the pre-charge percentage of the battery data corresponding to the voltage warning state; Based on the sensor data, the sensor parameters corresponding to the voltage warning state are obtained to obtain the measured battery temperature T of the starting battery. measured , and obtain the unified reference temperature T of the truck starting battery corresponding to the laboratory calibration ref ; The measured battery temperature T measured and the reference temperature T ref The temperature compensation trend is obtained by comparison with the comparator; when T measured <T ref When T measured >T ref When the temperature compensation corresponding to the output tends to be negative compensation; obtain the reference temperature T ref Corresponding to the preset reference temperature normal reference range [T ref-mini , T ref-max ], when T measured Belongs to the normal reference range of the benchmark temperature [T ref-mini , T ref-max ], the temperature compensation trend corresponding to the output is no compensation; when the temperature compensation trend corresponds to positive compensation and negative compensation, the open circuit voltage V after compensation is obtained through the temperature compensation mechanism ocv-corr , the open circuit voltage after compensation and V ocv → The SOC mapping table is used to compare and obtain the compensation power percentage of the corresponding battery data corresponding to the voltage warning state after compensation; Based on the battery data and sensor parameters, the battery status information, battery space temperature and battery internal resistance are obtained; the battery status information, battery space temperature and battery internal resistance are input into the power analysis unit for analysis to obtain the battery power status information; the battery power status information and the compensation power percentage are marked as the battery status information.

4. The truck starting battery management system according to claim 3, characterized in that: The voltage early warning mechanism is specifically as follows: Obtaining a voltage upper warning value and a voltage lower warning value given in advance, and dividing the voltage data into multiple voltage response stages based on the voltage upper warning value and the voltage lower warning value; When the voltage data is greater than the voltage upper warning value, the voltage response stage corresponding to the output is the full voltage state; When the voltage data is greater than the voltage warning value and less than the voltage warning value, the voltage response stage corresponding to the output is the voltage health state; When the voltage data is less than the voltage warning value, the voltage response stage corresponding to the output is the voltage warning state.

5. The truck starting battery management system according to claim 3, characterized in that: The temperature compensation mechanism is specifically: using the temperature compensation formula V ocv-corr =V ocv +α·(T ref -T measured ) Calculate the open circuit voltage after compensation V ocv-corr ; where α is the temperature coefficient.

6. The truck starting battery management system according to claim 3, characterized in that: The power analysis unit specifically analyzes: The battery status information is detected to obtain that the battery operating status of the truck starting battery corresponds to the charging state, the resting state and the operating state, and the battery space temperature corresponding to each operating state is marked as The corresponding space temperature threshold is set based on the operating status of each battery and marked as When the battery space temperature corresponding to each battery operating state is greater than the corresponding space temperature threshold, the time when the battery space temperature exceeds the space temperature threshold during the measurement corresponding to each battery operating state is obtained and recorded as the abnormal time; based on the abnormal time, the abnormal duration when the battery space temperature exceeds the space temperature threshold is recorded through a timer, so as to obtain the temperature rise rate corresponding to the charging state. Temperature rise rate corresponding to the resting state Temperature rise rate corresponding to the operating state When the temperature rise rate corresponding to each battery operating state exceeds the upper temperature rise rate given by the corresponding design, according to the internal resistance correction formula Calculate the corrected internal resistance R corr ; Among them, R measured Expressed as measured internal resistance; using the available power calculation formula Get the available power P corresponding to each operating state available ; The available power corresponding to each operating state is used as the corresponding battery power state information.

7. The truck starting battery management system according to claim 1, characterized in that: The specific working process of the renewable resource use decision unit is as follows: Based on the battery status information, the available power and the percentage of the compensated power corresponding to the main power-on path are obtained; Perform resource control analysis based on available power and compensation power percentage to obtain energy compensation information; Generate corresponding energy compensation instructions according to the energy compensation information; An energy recovery command is obtained by performing energy recovery analysis based on the energy compensation information.

8. The truck starting battery management system according to claim 7, characterized in that: The resource control analysis is performed based on the available power and the percentage of the compensated power, which is specifically as follows: Obtaining the battery operating status of the truck starting battery, including charging status, resting status, and operating status; based on the truck starting battery being in a charging status, marking the auxiliary storage battery as a main energy supply battery; based on the truck starting battery being in a resting status, marking the auxiliary storage battery as a main energy supply battery; When the truck starting battery is in operation, the truck starting battery and the auxiliary storage battery are combined to supply power in proportion, and the power percentage of the truck starting battery is divided into multiple power classification intervals according to the predetermined power interval. The power classification intervals are sorted from large to small according to the power percentage corresponding to the maximum value of the interval through a sorting algorithm to obtain the available power P corresponding to a certain power classification interval. available And obtain the current load power corresponding to the current truck, compare the current load power with the available power through a ratio calculator to obtain the load share value, divide the load share value into multiple load share intervals according to the designed share interval, and design a compensation division state for each load share interval. Match the load share value corresponding to each power classification interval with multiple load share intervals to obtain the corresponding compensation division state, and obtain the output power of the truck starting battery and the auxiliary storage battery according to the compensation division state.

9. The truck starting battery management system according to claim 7, characterized in that: The energy recovery analysis based on the energy compensation information is specifically as follows: the state of the truck is identified by a state identification unit, and when the truck is decelerating or going downhill, energy is recovered by regenerative braking technology, and the power of the auxiliary storage battery is identified to obtain the auxiliary storage battery power, and the healthy battery power given by the design is obtained. When the auxiliary storage battery power is greater than the healthy battery power, the recovered energy is preferentially converted into the truck starting battery.

Citation Information

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