Battery equalization early warning method and device and engineering vehicle
By calculating the internal resistance range and average charge/discharge rate of individual cells, and fitting the SOC range parameters with the number of cycles, the battery equilibrium boundary can be predicted in advance. This solves the user experience and safety issues caused by individual cell deviations in new energy vehicles, extends battery life, and optimizes power battery management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-10
- Publication Date
- 2026-04-14
AI Technical Summary
In existing new energy vehicles, the capacity, SOC and temperature deviations of individual battery cells lead to harsh equalization trigger conditions and untimely self-equalization, which affects user experience and poses safety hazards. Existing equalization strategies are mostly executed after a fault occurs, making it difficult to predict the equalization boundary of the power battery in advance.
By obtaining the internal resistance range and average charge/discharge rate of individual cells, the SOC difference between charging and discharging is calculated. The SOC range parameter is then fitted by the number of charge/discharge cycles to determine the maximum number of charge/discharge cycles, thereby enabling early warning of the battery system's equilibrium boundary.
It extends battery life, avoids malfunctions caused by individual cell SOC deviations, improves user experience and safety, reduces after-sales costs, and enhances brand recognition.
Smart Images

Figure CN121848992A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of new energy, and more specifically to a battery balancing early warning method, device, and engineering vehicle. Background Technology
[0002] For new energy vehicles, new energy power batteries are mostly composed of multiple individual cells connected in series and parallel to form a high-voltage power unit to power new energy equipment, especially suitable for scenarios such as new energy cranes that require large-capacity power battery systems. However, the capacity, SOC (state of charge) (the percentage of the battery's remaining capacity relative to its rated capacity), and temperature of each individual cell naturally have deviations, and these deviations gradually amplify during use, evolving into malfunctions that affect user experience and even safety. To address this, the industry generally equips power batteries with balancing functions, which are divided into active balancing and passive balancing: active balancing achieves the transfer of charge between cells through low-voltage wiring harnesses, but the design is complex and difficult to implement; passive balancing uses existing low-voltage wiring harnesses to discharge all individual cells to the lowest capacity cell level. Although this method is easy to implement, it has limitations such as stringent balancing triggering and execution conditions, insufficient accuracy due to the influence of balancing current and resistance, and potential hazards to the battery system from the heat released during balancing discharge.
[0003] In practical applications, ordinary users lack awareness of battery balancing. Furthermore, the stringent conditions for balancing triggering and the uncertainty of self-balancing make it difficult to promptly detect and maintain the battery when balancing is needed. Meanwhile, the current complex balancing circuits and lengthy balancing processes increase development difficulty and impact user experience. Moreover, existing balancing strategies are mostly executed after a fault occurs, easily leading to derivative risks. Therefore, to avoid untimely fault diagnosis and the unknown risks of user-side balancing triggering, a simple diagnostic method that can predict the balancing boundaries of power batteries in advance is urgently needed. This has become a pressing technical problem to be solved in the field of single-cell balancing of new energy power batteries. Summary of the Invention
[0004] The purpose of this invention is to provide a battery equalization warning method, device, and engineering vehicle, which extends the battery's service life.
[0005] To achieve the above objectives, embodiments of the present invention provide a battery equalization warning method, the method comprising: The internal resistance difference and average charge / discharge rate of a single cell in the target battery system are obtained, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate. The charging SOC difference and discharging SOC difference are determined based on the average charging rate, average discharging rate, and internal resistance range. The number of charge-discharge cycles of the target battery system is obtained, and the SOC range fitting parameters are determined based on the charging SOC difference, the discharging SOC difference, and the number of charge-discharge cycles. The maximum number of charge-discharge cycles is determined based on the SOC range fitting parameters and the SOC deviation threshold. The target battery system's equilibrium boundary is warned based on the maximum number of charge-discharge cycles.
[0006] Optionally, determining the charging SOC difference and discharging SOC difference based on the average charging rate, average discharging rate, and internal resistance difference includes: The difference in charging SOC for:
[0007] The difference in discharge SOC for:
[0008] in, The average rate of the nth charge. The average discharge rate is the rate of the nth discharge cycle, where n is the number of charge-discharge cycles, and n ≥ 1. To determine the SOC percentage for the nth charge, The percentage of SOC released during the nth discharge. This refers to the rated voltage of a single battery cell. The difference in internal resistance of a single cell during the nth charge. This refers to the rated capacity of the battery cell.
[0009] Optionally, determining the SOC range fitting parameters based on the charging SOC difference, the discharging SOC difference, and the number of charge / discharge cycles includes:
[0010] in, For the SOC difference during the nth charge, Let SOC be the difference in the nth discharge cycle, t be the number of charge-discharge cycles (t≥1), and k be the SOC range fitting parameter.
[0011] Optionally, determining the maximum number of charge-discharge cycles based on the SOC range fitting parameters and the SOC deviation threshold includes:
[0012] Where k is the SOC range fitting parameter, k>0. To preset the SOC deviation threshold, This represents the maximum number of charge-discharge cycles. This is the floor symbol.
[0013] Optionally, the step of providing early warning of the target battery system's equilibrium boundary based on the maximum number of charge-discharge cycles includes: The system compares the number of charge-discharge cycles with the maximum number of charge-discharge cycles in real time. When the number of charge-discharge cycles exceeds the maximum number of charge-discharge cycles, an early warning of the equilibrium boundary of the target battery system is activated.
[0014] Optionally, obtaining the internal resistance range of a single cell within the target battery system includes: The acquisition module is used to acquire the internal resistance of a single cell in the target battery system during charging, and to determine the internal resistance range of the cells in the target battery system based on the internal resistance.
[0015] On the other hand, this application also proposes a battery balancing warning device, which includes: The internal resistance difference and average charge / discharge rate of a single cell in the target battery system are obtained, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate. The first processing module is used to determine the charging SOC difference and the discharging SOC difference based on the average charging rate, the average discharging rate and the internal resistance difference. The second processing module is used to obtain the number of charge-discharge cycles of the target battery system and determine the SOC range fitting parameters based on the charging SOC difference, the discharging SOC difference, and the number of charge-discharge cycles. The third processing module is used to determine the maximum number of charge-discharge cycles based on the SOC range fitting parameters and the SOC deviation threshold, and to perform an early warning of the equilibrium boundary of the target battery system based on the maximum number of charge-discharge cycles.
[0016] Optionally, determining the charging SOC difference and discharging SOC difference based on the average charging rate, average discharging rate, and internal resistance difference includes: The difference in charging SOC for:
[0017] The difference in discharge SOC for:
[0018] in, The average rate of the nth charge. The average discharge rate is the rate of the nth discharge cycle, where n is the number of charge-discharge cycles, and n ≥ 1. To determine the SOC percentage for the nth charge, The percentage of SOC released during the nth discharge. This refers to the rated voltage of a single battery cell. The difference in internal resistance of a single cell during the nth charge. This refers to the rated capacity of the battery cell.
[0019] On the other hand, this application also proposes an engineering vehicle that includes the battery equalization warning device according to the above description. The engineering vehicles are fuel-powered vehicles and / or new energy vehicles; The new energy vehicles are new energy work vehicles and / or new energy passenger vehicles; The driving methods of the new energy vehicles include pure electric, range-extended electric, hybrid, fuel cell electric, and hydrogen engines.
[0020] On the other hand, this application also proposes a machine-readable storage medium storing computer program instructions thereon, which, when executed by a processor, implement the battery equalization warning method as described above.
[0021] The battery equalization early warning method of the present invention includes: obtaining the internal resistance range difference and average charge / discharge rate of individual cells in a target battery system, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate; determining the charging SOC difference and discharging SOC difference based on the average charging rate, the average discharging rate, and the internal resistance range difference; obtaining the number of charge / discharge cycles of the target battery system; determining the SOC range fitting parameter based on the charging SOC difference, the discharging SOC difference, and the number of charge / discharge cycles; determining the maximum number of charge / discharge cycles based on the SOC range fitting parameter and the SOC deviation threshold; and performing an equalization boundary early warning for the target battery system based on the maximum number of charge / discharge cycles. This method, by calculating the maximum internal resistance difference of each individual cell in the power battery during charging and combining it with the average charge / discharge rate, predicts in advance the time it takes for the power battery to reach the equalization requirements, thereby extending the battery's lifespan.
[0022] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description
[0023] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the battery equalization early warning method of the present invention; Figure 2 This is a schematic diagram of a specific embodiment of the present invention; Figure 3 This is a schematic diagram of the battery equalization warning device of the present invention.
[0024] Explanation of reference numerals in the attached figures 100-Battery equalization early warning device; 200 - Acquisition Module; 300 - First Processing Module; 400 - Second Processing Module; 500 - Third processing module. Detailed Implementation
[0025] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.
[0026] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application all comply with relevant laws and regulations. In the embodiments of this application, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.
[0027] Figure 1 This is a schematic diagram of the battery equalization early warning method of the present invention, as shown below. Figure 1 and Figure 2 As shown, the battery equalization warning method of the present invention includes: Step S101 is to obtain the internal resistance difference and average charge / discharge rate of the individual cells in the target battery system. The average charge / discharge rate includes the average charging rate and the average discharging rate.
[0028] The method of obtaining the internal resistance range of individual cells in the target battery system includes: obtaining the internal resistance of individual cells when the target battery system is charging, and determining the internal resistance range of cells in the target battery system based on the internal resistance. The internal resistance may be obtained from the internal resistance value calibrated by the user at the OEM factory periodically.
[0029] The internal resistance range of the target battery system is the difference between the maximum and minimum effective internal resistance of a single cell. Specifically, before charging the vehicle, the voltage and current values of each cell in the target battery system are measured before and after a sudden current change. The internal resistance range is determined based on these voltage and current values. Measuring the internal resistance of the target battery system requires applying current after a period of rest and detecting voltage changes over that time. The internal resistance is then calculated using Ohm's law. During the use of the target battery system, due to the small or unstable constant current discharge time and discharge current, accurate internal resistance information during the discharge phase cannot be obtained. Conventional fast charging for power batteries uses stepped constant current charging, meaning the charging current is high when the battery charge is low and low or even switches to constant voltage charging when the charge is high. When the user starts charging, the internal resistance data obtained after a short period of rest (measured 60 seconds after charging begins) is generally more accurate.
[0030] The average charging rate is the ratio of the average charging current to the rated capacity of the battery module throughout the entire charging cycle, reflecting the overall speed of the charging process. The average discharging rate is the ratio of the average discharging current to the rated capacity of the battery module throughout the entire discharging cycle, reflecting the overall load level of the discharging process.
[0031] In addition, this application also proposes that the internal resistance difference during the charging process should also take into account various abnormalities (lithium plating inside the cell, tab tearing, busbar welding failure, etc.) that cause sudden changes in internal resistance, in order to provide additional early warning protection.
[0032] Step S102 involves determining the charging SOC difference and discharging SOC difference based on the average charging rate, average discharging rate, and internal resistance difference.
[0033] Charging SOC difference refers to the difference in state of charge (SOC) among individual cells in a battery system during the same charging phase (or at the same time point). Discharging SOC difference refers to the difference in state of charge (SOC) among individual cells in a battery system during the same discharging phase (or at the same time point). Both charging and discharging SOC differences are directly related to the cell capacity and internal resistance consistency, and are important indicators for assessing the health status of the battery module, as well as the core basis for the battery management system to perform equalization control.
[0034] The determination of charging SOC difference and discharging SOC difference based on the average charging rate, average discharging rate, and internal resistance range includes: The difference in charging SOC for:
[0035] The difference in discharge SOC for:
[0036] in, The average rate of the nth charge. The average discharge rate is the rate of the nth discharge cycle, where n is the number of charge-discharge cycles, and n ≥ 1. To determine the SOC percentage for the nth charge, The percentage of SOC released during the nth discharge. This refers to the rated voltage of a single battery cell. The difference in internal resistance of a single cell during the nth charge. This refers to the rated capacity of the battery cell.
[0037] Step S103 involves obtaining the number of charge-discharge cycles of the target battery system and determining the SOC range fitting parameters based on the charging SOC difference, the discharging SOC difference, and the number of charge-discharge cycles.
[0038] The step of determining the SOC range fitting parameters based on the charging SOC difference, the discharging SOC difference, and the number of charge / discharge cycles includes:
[0039] in, For the SOC difference during the nth charge, Let SOC be the difference in the nth discharge cycle, t be the number of charge-discharge cycles (t≥1), and k be the SOC range fitting parameter.
[0040] The SOC range fitting parameters are obtained by fitting the current cumulative SOC difference and the number of charge-discharge cycles. For example, when t=1, k is equal to the sum of the SOC differences between the first charge and discharge; when t=100, k is equal to the cumulative SOC difference of the first 100 charge-discharge cycles divided by the number of charge-discharge cycles, that is, the average value of the cumulative SOC difference of the first 100 cycles. It can be understood that the larger the value of t, the more accurately the fitting parameter k reflects the growth trend of SOC difference.
[0041] Step S104 is to determine the maximum number of charge-discharge cycles based on the SOC range fitting parameters and the SOC deviation threshold, wherein the maximum number of charge-discharge cycles is the maximum recommended number of charge-discharge cycles.
[0042] The step of determining the recommended maximum number of charge-discharge cycles based on the SOC range fitting parameters and the SOC deviation threshold includes:
[0043] Where k is the SOC range fitting parameter, k>0. To preset the SOC deviation threshold, The maximum number of charge-discharge cycles, n≤ . The floor symbol is used for rounding down. To obtain The maximum value.
[0044] The maximum recommended number of charge-discharge cycles is the number of cycles that triggers the equalization boundary of the power battery system. At this point, the cumulative SOC difference of the power battery has reached the SOC deviation threshold specified by the power battery manufacturer (i.e., the preset SOC deviation threshold), and equalization operation should be performed. As can be seen from the above formula, y is a fixed value provided by the power battery manufacturer, and k will fluctuate within a certain range with the number of power battery cycles and eventually narrow to a stable region. Therefore, if the value of k does not increase abnormally, the recommended maximum number of charge-discharge cycles can be set according to the characteristics of the power battery (which can be recommended by the power battery manufacturer) after a certain number of cycles to avoid significant fluctuations in the initial warning cycle count.
[0045] Step S105 is to perform an early warning of the equilibrium boundary of the target battery system based on the maximum number of charge-discharge cycles.
[0046] The step of providing an early warning of the target battery system's equilibrium boundary based on the maximum number of charge-discharge cycles includes: real-time comparison of the number of charge-discharge cycles and the maximum number of charge-discharge cycles; when the compared number of charge-discharge cycles exceeds the maximum number of charge-discharge cycles, an early warning of the target battery system's equilibrium boundary is activated. The higher the number of charge-discharge cycles, the more accurate the overall estimation result of this application.
[0047] Because of the differences in internal resistance among the individual cells within the target battery system, the energy loss of the target battery system is inconsistent, ultimately increasing the SOC deviation. This application combines the internal resistance measurement data of individual cells during charging to continuously accumulate the extreme values of SOC deviation of individual cells within the target battery module and issue an early warning before the extreme value approaches the threshold. This makes the prediction strategy more accurate with the number of accumulated charge-discharge cycles. This method helps to extend the service life of the target battery system.
[0048] Specifically, for the initial target battery module's internal resistance range, it is recommended to use accurate data provided by the power battery manufacturer. After multiple charge-discharge cycles, when the power battery's internal SOC range fitting parameters approach the SOC deviation threshold, based on user habits, it is suggested that the customer perform vehicle maintenance after a certain date. Alternatively, the system can prompt the OEM to recommend power battery maintenance for the corresponding user's vehicle. For example, the continuous internal resistance when charging within the 20%-80% SOC range can be used as the calculation basis. If the user starts charging with an SOC outside the 20%-80% range, the continuous internal resistance measured when the user is charging within this range can be used to update and correct the calculation data, or the continuous internal resistance data can be collected when the user performs maintenance for correction. Once the power battery has completed equalization after maintenance and the SOC deviation is negligible, the calculation of the power battery's internal SOC deviation needs to be recalculated and combined to estimate the next maintenance date.
[0049] This application is mainly used for the balancing needs of individual cells in a power battery under normal conditions due to differences in energy loss (the balancing needs caused by abnormal self-discharge or capacity drop of individual cells are not within the scope of this application).
[0050] For new energy vehicles, this application can proactively prevent various malfunctions caused by excessive SOC deviations in individual battery cells (such as sudden changes in available power during driving, power limitations or even power outages, reduced driving range, and overcharging / over-discharging of individual cells), avoiding impacts on user experience and safety. It also provides a scientific method for using power batteries. Timely maintenance and repair of individual battery cell SOC deviations significantly optimizes battery life, providing assurance for new energy vehicles.
[0051] For power battery and new energy vehicle manufacturers, this method allows for timely notification of customers regarding battery pack maintenance, reducing after-sales costs, enhancing brand image, and increasing brand recognition among users. On the other hand, collecting information on market user operating conditions and fault issues helps power battery and vehicle manufacturers build big data systems, enabling more accurate predictions of current vehicle batch status, providing more precise guidance for the planning, design, and release of subsequent new products, and contributing to the healthy development of new energy vehicles.
[0052] This application also proposes a battery balancing warning device 100, such as... Figure 3 As shown, the device includes: an acquisition module 200, used to acquire the internal resistance range and average charge / discharge rate of individual cells in the target battery system, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate; a first processing module 300, used to determine the charging SOC difference and the discharging SOC difference based on the average charging rate, the average discharging rate, and the internal resistance range; a second processing module 400, used to acquire the number of charge / discharge cycles of the target battery system, and determine the SOC range fitting parameters based on the charging SOC difference, the discharging SOC difference, and the number of charge / discharge cycles; and a third processing module 500, used to determine the maximum number of charge / discharge cycles based on the SOC range fitting parameters and the SOC deviation threshold, and perform an early warning of the equilibrium boundary of the target battery system based on the maximum number of charge / discharge cycles.
[0053] Specifically, determining the charging SOC difference and discharging SOC difference based on the average charging rate, average discharging rate, and internal resistance difference includes: The difference in charging SOC for:
[0054] The difference in discharge SOC for:
[0055] in, The average rate of the nth charge. The average discharge rate is the rate of the nth discharge cycle, where n is the number of charge-discharge cycles, and n ≥ 1. To determine the SOC percentage for the nth charge, The percentage of SOC released during the nth discharge. This refers to the rated voltage of a single battery cell. The difference in internal resistance of a single cell during the nth charge. This refers to the rated capacity of the battery cell.
[0056] This device provides early warning of the equilibrium boundary of the target battery system based on the maximum charge-discharge cycle count, and timely maintenance of the SOC deviation of individual cells in the power battery, significantly optimizing the life of the power battery and providing protection for new energy vehicles.
[0057] On the other hand, this invention also proposes an engineering vehicle, which includes the battery balancing warning device described above; the engineering vehicle is a fuel vehicle and / or a new energy vehicle; the new energy vehicle is a new energy work vehicle and / or a new energy passenger vehicle; the driving mode of the new energy vehicle includes pure electric, range-extended electric, hybrid, fuel cell electric, and hydrogen engine. The new energy vehicle is an intelligent connected vehicle, equipped with onboard sensors, controllers, actuators, and other devices, integrating modern communication and network technologies to achieve intelligent information exchange and sharing between the vehicle and people, vehicles, roads, and backend systems. New energy vehicles include pure electric vehicles, range-extended electric vehicles, hybrid electric vehicles, fuel cell electric vehicles, and hydrogen engine vehicles.
[0058] The battery equalization early warning method of the present invention includes: obtaining the internal resistance range difference and average charge / discharge rate of individual cells in a target battery system, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate; determining the charging SOC difference and discharging SOC difference based on the average charging rate, the average discharging rate, and the internal resistance range difference; obtaining the number of charge / discharge cycles of the target battery system; determining the SOC range fitting parameter based on the charging SOC difference, the discharging SOC difference, and the number of charge / discharge cycles; determining the maximum number of charge / discharge cycles based on the SOC range fitting parameter and the SOC deviation threshold; and performing an equalization boundary early warning for the target battery system based on the maximum number of charge / discharge cycles. This method, by calculating the maximum internal resistance difference of each individual cell in the power battery during charging and combining it with the average charge / discharge rate, predicts in advance the time it takes for the power battery to reach the equalization requirements, thereby extending the battery's lifespan.
[0059] The battery equalization warning device 100 includes a processor and a memory. The aforementioned acquisition module 200, first processing module 300, second processing module 400, and third processing module 500 are all stored in the memory as program units. The processor executes the aforementioned program units stored in the memory to realize the corresponding functions.
[0060] The processor contains a core, which retrieves the corresponding program units from memory. One or more cores can be configured, and adjusting core parameters can extend battery life.
[0061] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.
[0062] This invention provides a storage medium storing a program that, when executed by a processor, implements the battery equalization warning method.
[0063] This invention provides a processor for running a program, wherein the program executes the battery balancing warning method during runtime.
[0064] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: obtaining the internal resistance range and average charge / discharge rate of individual cells in a target battery system, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate; determining the charging SOC difference and the discharging SOC difference based on the average charging rate, the average discharging rate, and the internal resistance range; obtaining the number of charge / discharge cycles of the target battery system; determining the SOC range fitting parameter based on the charging SOC difference, the discharging SOC difference, and the number of charge / discharge cycles; determining the maximum number of charge / discharge cycles based on the SOC range fitting parameter and the SOC deviation threshold; and performing an early warning of the target battery system's equilibrium boundary based on the maximum number of charge / discharge cycles. The device described herein can be a server, PC, PAD, mobile phone, etc.
[0065] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having the following method steps: obtaining the internal resistance range and average charge / discharge rate of individual cells in a target battery system, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate; determining the charging SOC difference and the discharging SOC difference based on the average charging rate, the average discharging rate, and the internal resistance range; obtaining the number of charge / discharge cycles of the target battery system; determining the SOC range fitting parameter based on the charging SOC difference, the discharging SOC difference, and the number of charge / discharge cycles; determining the maximum number of charge / discharge cycles based on the SOC range fitting parameter and the SOC deviation threshold; and performing an equalization boundary warning for the target battery system based on the maximum number of charge / discharge cycles.
[0066] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0067] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0068] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0069] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0070] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0071] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0072] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0073] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0074] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A battery equalization early warning method, characterized in that, The method includes: The internal resistance difference and average charge / discharge rate of a single cell in the target battery system are obtained, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate. The charging SOC difference and discharging SOC difference are determined based on the average charging rate, average discharging rate, and internal resistance range. The number of charge-discharge cycles of the target battery system is obtained, and the SOC range fitting parameters are determined based on the charging SOC difference, the discharging SOC difference, and the number of charge-discharge cycles. The maximum number of charge-discharge cycles is determined based on the SOC range fitting parameters and the SOC deviation threshold. The target battery system's equilibrium boundary is warned based on the maximum number of charge-discharge cycles.
2. The method according to claim 1, characterized in that, The determination of charging SOC difference and discharging SOC difference based on the average charging rate, average discharging rate, and internal resistance range includes: The difference in charging SOC for: The difference in discharge SOC for: in, The average rate of the nth charge. The average discharge rate is the rate of the nth discharge cycle, where n is the number of charge-discharge cycles, and n ≥ 1. To determine the SOC percentage for the nth charge, The percentage of SOC released during the nth discharge. This refers to the rated voltage of a single battery cell. The difference in internal resistance of a single cell during the nth charge. This refers to the rated capacity of the battery cell.
3. The method according to claim 1, characterized in that, The step of determining the SOC range fitting parameters based on the charging SOC difference, the discharging SOC difference, and the number of charge / discharge cycles includes: in, For the SOC difference during the nth charge, Let SOC be the difference in the nth discharge cycle, t be the number of charge-discharge cycles (t≥1), and k be the SOC range fitting parameter.
4. The method according to claim 1, characterized in that, The step of determining the maximum number of charge-discharge cycles based on the SOC range fitting parameters and the SOC deviation threshold includes: Where k is the SOC range fitting parameter, k>0. To preset the SOC deviation threshold, This represents the maximum number of charge-discharge cycles. This is the floor symbol.
5. The method according to claim 1, characterized in that, The step of providing early warning of the equilibrium boundary of the target battery system based on the maximum number of charge-discharge cycles includes: The system compares the number of charge-discharge cycles with the maximum number of charge-discharge cycles in real time. When the number of charge-discharge cycles exceeds the maximum number of charge-discharge cycles, an early warning of the equilibrium boundary of the target battery system is activated.
6. The method according to claim 1, characterized in that, The acquisition of the internal resistance range of individual cells within the target battery system includes: Obtain the internal resistance of a single cell in the target battery system during charging, and determine the internal resistance range of the cells in the target battery system based on the internal resistance.
7. A battery equalization early warning device, characterized in that, The device includes: The acquisition module is used to acquire the internal resistance difference and average charge / discharge rate of a single cell in the target battery system, wherein the average charge / discharge rate includes the average charging rate and the average discharging rate. The first processing module is used to determine the charging SOC difference and the discharging SOC difference based on the average charging rate, the average discharging rate and the internal resistance difference. The second processing module is used to obtain the number of charge-discharge cycles of the target battery system and determine the SOC range fitting parameters based on the charging SOC difference, the discharging SOC difference, and the number of charge-discharge cycles. The third processing module is used to determine the maximum number of charge-discharge cycles based on the SOC range fitting parameters and the SOC deviation threshold, and to perform an early warning of the equilibrium boundary of the target battery system based on the maximum number of charge-discharge cycles.
8. The apparatus according to claim 7, characterized in that, The determination of charging SOC difference and discharging SOC difference based on the average charging rate, average discharging rate, and internal resistance range includes: The difference in charging SOC for: The difference in discharge SOC for: in, The average rate of the nth charge. The average discharge rate is the rate of the nth discharge cycle, where n is the number of charge-discharge cycles, and n ≥ 1. To determine the SOC percentage for the nth charge, The percentage of SOC released during the nth discharge. This refers to the rated voltage of a single battery cell. The difference in internal resistance of a single cell during the nth charge. This refers to the rated capacity of the battery cell.
9. An engineering vehicle, characterized in that, The engineering vehicle includes a battery equalization warning device according to any one of claims 7-8; The engineering vehicles are fuel-powered vehicles and / or new energy vehicles; The new energy vehicles are new energy work vehicles and / or new energy passenger vehicles; The driving methods of the new energy vehicles include pure electric, range-extended electric, hybrid, fuel cell electric, and hydrogen engines.
10. A machine-readable storage medium having computer program instructions stored thereon, characterized in that, When the computer program instructions are executed by the processor, they implement the battery equalization warning method as described in any one of claims 1 to 6.