Method, device, equipment, medium and product for estimating state of charge of power battery

Abstract

The present application relates to a method, device, equipment, medium, and product for estimating the state of charge of a power battery. The method includes: when a target vehicle is powered on, obtaining the working state information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells; calling the state of charge estimation algorithm, based on the working state information of each single cell in the previous estimation round and the corresponding intermediate parameters, in the estimation cycle of the current estimation round, sequentially estimating the state of charge of each single cell, and obtaining the state of charge of each single cell in the current estimation round. The use of this method can improve the estimation accuracy of the state of charge of the power battery.

Description

Technical Field

[0001] The present application relates to the field of battery management technology, and in particular to a method, device, equipment, medium and product for estimating the state of charge of a power battery. Background Art

[0002] State of Charge (SOC) is a key indicator for measuring a battery's remaining capacity. It represents the ratio of a battery's remaining capacity to its fully charged capacity. For electric vehicles, accurately estimating the SOC of the vehicle's power battery is crucial for the operation of the battery management system.

[0003] Currently, traditional SOC estimation methods include the extended Kalman filter, the ampere-hour integral estimation algorithm, and the open-circuit voltage lookup table method. However, traditional power battery modules are composed of numerous individual cells. Simultaneously estimating the SOC of each individual cell using these traditional SOC estimation methods increases the time complexity of the SOC estimation process, thereby reducing the accuracy of the power battery SOC estimation. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, device, equipment, medium and product for estimating the state of charge of a power battery to address the above technical problems, which can improve the accuracy of the estimation results obtained when estimating the state of charge of the power battery of the target vehicle.

[0005] In a first aspect, the present application provides a method for estimating the state of charge of a power battery, comprising:

[0006] When the target vehicle is powered on, obtain operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells;

[0007] Invoking a state-of-charge estimation algorithm to estimate the state of charge of each battery cell in sequence during an estimation cycle of a current estimation round based on the operating state information of each battery cell in a previous estimation round and the corresponding intermediate parameters, thereby obtaining the state of charge of each battery cell in the current estimation round;

[0008] Wherein, in the case that the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0009] In one embodiment, the number of cycles is determined based on the time complexity of the state of charge estimation algorithm.

[0010] In one embodiment, when the current estimation round is the first estimation round, before obtaining the operating status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in estimating each single cell in the previous estimation round, the method further includes:

[0011] Obtaining a time complexity of the state of charge estimation algorithm;

[0012] Determining the number of estimation cycles in each estimation round according to the time complexity, the duration of a single round of estimation, and the number of batteries in each single battery in the power battery;

[0013] The single battery corresponding to each estimation cycle in each estimation round is determined according to the number of cycles and the number of batteries.

[0014] In one embodiment, determining the single battery corresponding to each estimation cycle in each estimation round according to the number of cycles and the number of batteries includes:

[0015] Determining the number of cells of the single battery corresponding to each estimation cycle in each estimation round according to the number of cycles and the number of batteries;

[0016] Determine the starting number and ending number of the single battery corresponding to each estimation cycle according to the number of single batteries corresponding to each estimation cycle and the battery number of each single battery;

[0017] The single battery corresponding to each estimation cycle is determined according to the starting number and the ending number corresponding to each estimation cycle.

[0018] In one embodiment, the obtaining of the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round includes:

[0019] When the current estimation round is not the first estimation round, if the stop state of charge estimation instruction is not detected, the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round are obtained.

[0020] In one embodiment, the operating status information includes at least operating voltage, operating current, operating temperature and capacity.

[0021] In a second aspect, the present application further provides a device for estimating the state of charge of a power battery, comprising:

[0022] a parameter acquisition module, configured to, when the target vehicle is powered on, acquire operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells;

[0023] a state estimation module, configured to call a state-of-charge estimation algorithm, and estimate the state of charge of each single battery in sequence during an estimation cycle of a current estimation round based on the working state information and corresponding intermediate parameters of each single battery in a previous estimation round, to obtain the state of charge of each single battery in the current estimation round;

[0024] Wherein, in the case that the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0025] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0026] When the target vehicle is powered on, obtain operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells;

[0027] Invoking a state-of-charge estimation algorithm to estimate the state of charge of each battery cell in sequence during an estimation cycle of a current estimation round based on the operating state information of each battery cell in a previous estimation round and the corresponding intermediate parameters, thereby obtaining the state of charge of each battery cell in the current estimation round;

[0028] Wherein, in the case that the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0029] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0030] When the target vehicle is powered on, obtain operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells;

[0031] Invoking a state-of-charge estimation algorithm to estimate the state of charge of each battery cell in sequence during an estimation cycle of a current estimation round based on the operating state information of each battery cell in a previous estimation round and the corresponding intermediate parameters, thereby obtaining the state of charge of each battery cell in the current estimation round;

[0032] Wherein, in the case that the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0033] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0034] When the target vehicle is powered on, obtain operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells;

[0035] Invoking a state-of-charge estimation algorithm to estimate the state of charge of each battery cell in sequence during an estimation cycle of a current estimation round based on the operating state information of each battery cell in a previous estimation round and the corresponding intermediate parameters, thereby obtaining the state of charge of each battery cell in the current estimation round;

[0036] Wherein, in the case that the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0037] The above-mentioned method, device, equipment, medium and product for estimating the state of charge of a power battery estimate the state of charge of each single battery in the estimation cycle of the current estimation round in accordance with the working status information of the previous estimation round and the intermediate parameters involved in estimating each single battery in the previous estimation round, and based on the state of charge estimation algorithm, thereby ensuring the accuracy of the state of charge of each single battery in the current estimation round; in addition, by introducing estimation rounds and estimation cycles, the state of charge of each single battery in the power battery of the target vehicle is estimated, while ensuring the accuracy of the state of charge estimation algorithm, the computational complexity of the state of charge estimation algorithm is reduced; and since each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single batteries, the number of estimation cycles of each estimation round can be flexibly set, that is, the estimation duration of each estimation round can be flexibly configured, thereby improving the flexibility of estimating the state of charge of the power battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 This is a diagram of an application environment of a method for estimating the state of charge of a power battery in one embodiment;

[0040] Figure 2 1 is a flow chart of a method for estimating the state of charge of a power battery in one embodiment;

[0041] Figure 3 A schematic diagram of a process for determining a single battery corresponding to each estimation cycle in one embodiment;

[0042] Figure 4 A schematic diagram of a process for determining a single battery corresponding to each estimation cycle in one embodiment;

[0043] Figure 5 is a flow chart of a method for estimating the state of charge of a power battery in another embodiment;

[0044] Figure 6 1 is a structural block diagram of a device for estimating the state of charge of a power battery in one embodiment;

[0045] Figure 7 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0047] The method for estimating the state of charge of a power battery provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the state of charge estimation system 101 communicates with the state monitoring device 102 via a network. The state of charge estimation system 101 is integrated into the target vehicle and is used to estimate the state of charge of the power battery in the target vehicle; the state monitoring device 102 is installed in the target vehicle and is used to monitor the operating status of the single battery in the target vehicle. Optionally, when the target vehicle is in a powered-on state, the state of charge estimation system 101 obtains the working state information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round through the state monitoring device 102; wherein, each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells; and calls the state of charge estimation algorithm, and estimates the state of charge of each single cell in the estimation cycle of the current estimation round according to the working state information and corresponding intermediate parameters of each single cell in the previous estimation round, to obtain the state of charge of each single cell in the current estimation round; wherein, when the current estimation round is the first estimation round, the working state information and corresponding intermediate parameters of each single cell in the previous estimation round are the initial state information and initial parameters, respectively.

[0048] In one embodiment, Figure 2 As shown, a method for estimating the state of charge of a power battery is provided. Figure 1 The state of charge estimation system 101 in FIG. 1 is taken as an example to illustrate, which specifically includes the following steps:

[0049] S201 , when the target vehicle is powered on, obtain working state information of each single cell in the power battery of the target vehicle in the last estimation round and intermediate parameters involved in estimating each single cell in the last estimation round.

[0050] The target vehicle can be any electric vehicle; a single cell is a single cell in the battery pack of the target vehicle's power battery. An estimation round is a round for estimating all cells in the power battery; one estimation round completes the estimation of the state of charge of all single cells; the previous estimation round is the previous estimation round of the current estimation round. Working status information is information that describes the state of a single cell during operation; in an embodiment of the present application, the working status information includes but is not limited to the working voltage, working current, working temperature and capacity of the single cell; specifically, the working status information is determined by the input data required by the state of charge estimation algorithm integrated in the target vehicle. The state of charge estimation algorithm is an algorithm for estimating the state of charge of a single cell, and the state of charge estimation algorithm is integrated into the target vehicle.

[0051] The intermediate parameters are parameters involved in the state of charge estimation algorithm during the process of estimating each single battery; for example, if the state of charge estimation algorithm is an ampere-hour integration estimation algorithm, the intermediate parameters may be capacity and state of charge.

[0052] It should be noted that in the embodiment of the present application, each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells. The estimation cycles of different estimation rounds can be the same or different.

[0053] Optionally, when it is identified that the target vehicle is in the powered-on state, the intermediate parameters stored in the process of estimating the charge state of each single cell in the power battery of the target vehicle in the previous estimation round are obtained, and at the same time, the working status information of each single cell in the previous estimation round is obtained.

[0054] It should be noted that when the target vehicle is just started, that is, when it changes from a power-off state to a power-on state, the current estimation round is the first estimation round. At this time, the working status information of each single battery in the previous estimation round is the working status information of each single battery at the moment the target vehicle is powered on, that is, the initial state information; the intermediate parameters corresponding to each single battery in the previous estimation round are the given initial values, that is, the initial parameters.

[0055] S202, calling the state of charge estimation algorithm, based on the working status information of each single cell in the previous estimation round and the corresponding intermediate parameters, estimates the state of charge of each single cell in the estimation cycle of the current estimation round, and obtains the state of charge of each single cell in the current estimation round.

[0056] Optionally, for each estimation cycle of the current estimation round, the working status information of the single cell corresponding to the estimation cycle in the previous estimation round and the corresponding intermediate parameters can be input into the state of charge estimation algorithm, so that the state of charge estimation algorithm estimates the state of charge of each single cell corresponding to each estimation cycle in turn according to the model parameters or algorithm logic, and obtains the state of charge of each single cell in the current estimation round until the estimation of the state of charge of the single cell corresponding to each estimation cycle in the current estimation round is completed.

[0057] In the above-mentioned method for estimating the state of charge of a power battery, the state of charge of each single battery is estimated in sequence in the estimation cycle of the current estimation round based on the working status information of the previous estimation round and the intermediate parameters involved in the estimation of each single battery in the previous estimation round, and based on the state of charge estimation algorithm, thereby ensuring the accuracy of the state of charge of each single battery in the current estimation round; in addition, by introducing estimation rounds and estimation cycles, the state of charge of each single battery in the power battery of the target vehicle is estimated, while ensuring the accuracy of the state of charge estimation algorithm and reducing the computational complexity of the state of charge estimation algorithm; and, since each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single batteries, the number of estimation cycles of each estimation round can be flexibly set, that is, the estimation duration of each estimation round can be flexibly configured, thereby improving the flexibility of estimating the state of charge of the power battery.

[0058] It should be noted that if the current estimation round is not the first, and a stop SOC estimation command is not detected, the operating status information of each cell in the target vehicle's power battery during the previous estimation round and the intermediate parameters involved in estimating each cell during the previous estimation round are obtained. The stop SOC estimation command is used to instruct the system to stop estimating the power battery's SOC. This command can be triggered when the target vehicle switches from a powered-on state to a powered-off state, when the vehicle enters a dormant state, or by the vehicle owner via a button or screen click in the target vehicle. In other words, if a stop SOC estimation command is not detected, the target vehicle's SOC estimation system will continue to estimate the target vehicle's power battery's SOC. It can be understood that the introduction of the stop SOC estimation command increases the flexibility of triggering and stopping SOC estimation for the power battery.

[0059] Optionally, when the current estimation round is the first estimation round, the number of estimation cycles of each estimation round and the single battery corresponding to each estimation cycle need to be determined according to the actual conditions of each single battery in the target vehicle; in one embodiment, Figure 3 As shown, a method for determining the single battery corresponding to each estimation cycle is provided, which specifically includes the following steps:

[0060] S301: Obtain the time complexity of a state of charge estimation algorithm.

[0061] Among them, time complexity is used to describe the time required to run the state of charge estimation algorithm.

[0062] Optionally, the time complexity of the state of charge estimation algorithm may be calculated based on a time complexity calculation algorithm and according to the code of the state of charge estimation algorithm.

[0063] Optionally, a timing statement may be added to the state of charge estimation algorithm, and the time complexity of the state of charge estimation algorithm may be obtained by running the method of the state of charge estimation algorithm.

[0064] S302 : Determine the number of estimation cycles in each estimation round according to the time complexity, the duration of a single round of estimation, and the number of batteries in each single battery in the power battery.

[0065] The single-round estimation duration is the duration of one estimation round; the number of cycles is the number of estimation cycles in one estimation round.

[0066] Optionally, the number of estimation cycles in each estimation round can be determined based on the time complexity of the state of charge estimation algorithm, the duration of a single round of estimation, and the number of cells in the power battery, so as to ensure that the state of charge estimation of all cells in the power battery is completed within the duration of a single round of estimation.

[0067] S303 , determining the single battery corresponding to each estimation cycle in each estimation round according to the number of cycles and the number of batteries.

[0068] Alternatively, the same number of cells can be allocated to each estimation cycle based on the number of cycles and the number of batteries. Alternatively, a different number of cells can be allocated to each estimation cycle. In practical applications, the appropriate allocation method can be selected based on actual needs. This way, the corresponding cells for each estimation cycle in each estimation round can be determined.

[0069] In this embodiment, by introducing time complexity and flexibly determining the number of estimation cycles in each estimation round and the single battery corresponding to each estimation cycle in each estimation round based on the time complexity, the estimation duration of a single round, and the number of cells in the power battery, the estimation accuracy of the state of charge estimation algorithm is ensured while reducing the estimation duration of the state of charge estimation algorithm.

[0070] Optionally, in order to ensure the accuracy of the single battery corresponding to each estimation cycle, based on the above embodiment, in one embodiment, as Figure 4 As shown, a method for determining the single battery corresponding to each estimation cycle is provided, which specifically includes the following steps:

[0071] S401 , determining the number of cells of the single battery corresponding to each estimation cycle in each estimation round according to the number of cycles and the number of batteries.

[0072] The number of cells is the number of single cells in one estimation cycle.

[0073] Optionally, the single cells may be divided equally according to the number of cycles and the number of batteries, so that the number of batteries in each estimation cycle is the same, thereby obtaining the number of single cells in the single cells corresponding to each estimation cycle in each estimation round.

[0074] For example, if the number of single cells is 128 and the number of cycles is 16, it can be determined that the number of single cells in the single cell corresponding to each estimation cycle in each estimation round is 8.

[0075] S402 : Determine the start number and the end number of the single battery corresponding to each estimation cycle according to the number of single batteries corresponding to each estimation cycle and the battery number of each single battery.

[0076] The battery number is the identifier of the single battery. The start number is the battery number of the first single battery in the estimation cycle; the end number is the battery number of the last single battery in the estimation cycle.

[0077] Optionally, each single cell may be numbered, and based on the number of cells corresponding to each estimation cycle, each single cell may be divided in a numbering order to determine a start number and an end number of the single cells corresponding to each estimation cycle.

[0078] For example, if the number of single cells is 128, the number of cycles is 16, and the number of single cells corresponding to each estimation cycle is 8, it can be determined that the starting number of the single cell corresponding to the first estimation cycle is 1 and the ending number is 8; the starting number of the single cell corresponding to the second estimation cycle is 9 and the ending number is 16, and so on, until the last estimation cycle of the current estimation round, that is, the starting number of the sixteenth estimation cycle is 121 and the ending number is 128.

[0079] S403 , determining the single battery corresponding to each estimation cycle according to the start number and end number corresponding to each estimation cycle.

[0080] Optionally, for an estimation cycle, according to the starting number and ending number corresponding to the estimation cycle, the single cells corresponding to the starting number to the ending number are used as the single cells corresponding to the estimation cycle.

[0081] In this embodiment, by introducing the start number and the end number, single cells are reasonably allocated to each estimation cycle, thereby improving the flexibility and convenience of the process of determining the single cell corresponding to each estimation cycle.

[0082] Figure 5 FIG1 is a flow chart of a method for estimating the state of charge of a power battery in another embodiment. Based on the above embodiment, this embodiment provides an optional example of a method for estimating the state of charge of a power battery. Figure 5 The specific implementation process is as follows:

[0083] S501 , when it is detected that a target vehicle changes from a power-off state to a power-on state, obtaining a time complexity of a state of charge estimation algorithm integrated in the target vehicle.

[0084] S502 : Determine the number of estimation cycles in each estimation round according to the time complexity, the duration of a single round of estimation, and the number of batteries in each single battery in the power battery.

[0085] S503 , determining the single battery corresponding to each estimation cycle in each estimation round according to the number of cycles and the number of batteries.

[0086] S504 , obtaining initial state information and initial parameters of each single cell in the power battery of the target vehicle.

[0087] S505 , calling the state of charge estimation algorithm, and estimating the state of charge of each single cell in sequence in the estimation cycle of the current estimation round according to the initial state information and initial parameters of each single cell, to obtain the state of charge and intermediate parameters of each single cell in the current estimation round.

[0088] S506 , determining whether a stop state of charge estimation instruction is detected; if so, stopping the state of charge estimation process of each single cell in the power battery of the target vehicle; if not, executing S507 .

[0089] S507 : Acquire the working status information of each single cell in the power battery of the target vehicle in the last estimation round and the intermediate parameters involved in the estimation of each single cell in the last estimation round.

[0090] S508, calling the state of charge estimation algorithm, based on the working status information of each single cell in the previous estimation round and the corresponding intermediate parameters, estimates the state of charge of each single cell in the estimation cycle of the current estimation round, obtains the state of charge of each single cell in the current estimation round, and executes S506.

[0091] The specific process of the above S501-S508 can be found in the description of the above method embodiment. The implementation principles and technical effects are similar and will not be repeated here.

[0092] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0093] Based on the same inventive concept, embodiments of the present application also provide a power battery state of charge estimation device for implementing the aforementioned power battery state of charge estimation method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of the one or more power battery state of charge estimation device embodiments provided below can be found in the limitations of the power battery state of charge estimation method described above and are not further elaborated here.

[0094] In one embodiment, Figure 6 As shown, a device 60 for estimating the state of charge of a power battery is provided, comprising: a parameter acquisition module 10 and a state estimation module 20, wherein:

[0095] The parameter acquisition module 10 is used to obtain the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round when the target vehicle is in the powered-on state; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells.

[0096] The state estimation module 20 is configured to call a state-of-charge estimation algorithm to estimate the state of charge of each battery cell in the current estimation cycle based on the operating state information and corresponding intermediate parameters of each battery cell in the previous estimation cycle, thereby obtaining the state of charge of each battery cell in the current estimation cycle.

[0097] Wherein, when the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0098] The above-mentioned power battery state of charge estimation device estimates the state of charge of each single battery in the estimation cycle of the current estimation round in sequence based on the working status information of the previous estimation round and the intermediate parameters involved in the estimation of each single battery in the previous estimation round, and based on the state of charge estimation algorithm, thereby ensuring the accuracy of the state of charge of each single battery in the current estimation round; in addition, by introducing estimation rounds and estimation cycles, the state of charge of each single battery in the power battery of the target vehicle is estimated, while ensuring the accuracy of the state of charge estimation algorithm, the calculation amount of the state of charge estimation algorithm is reduced; and since each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single batteries, the number of estimation cycles of each estimation round can be flexibly set, that is, the estimation duration of each estimation round can be flexibly configured, thereby improving the flexibility of estimating the state of charge of the power battery.

[0099] In one embodiment, the number of cycles is determined based on the time complexity of the state of charge estimation algorithm.

[0100] In one embodiment, when the current estimation round is the first estimation round, the state of charge estimation device 60 further includes:

[0101] The complexity acquisition module is used to obtain the time complexity of the state of charge estimation algorithm.

[0102] The quantity determination module is used to determine the number of estimation cycles in each estimation round according to the time complexity, the single-round estimation duration, and the number of batteries in each single battery in the power battery.

[0103] The battery determination module is used to determine the single battery corresponding to each estimation cycle in each estimation round according to the number of cycles and the number of batteries.

[0104] In one embodiment, the battery determination module is specifically configured to:

[0105] Based on the number of cycles and the number of batteries, determine the number of cells in the single battery corresponding to each estimation cycle in each estimation round; based on the number of cells corresponding to each estimation cycle and the battery number of each single battery, determine the starting number and ending number of the single battery corresponding to each estimation cycle; based on the starting number and ending number corresponding to each estimation cycle, determine the single battery corresponding to each estimation cycle.

[0106] In one embodiment, the parameter acquisition module 10 is further configured to:

[0107] When the current estimation round is not the first estimation round, if the stop state of charge estimation instruction is not detected, the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round are obtained.

[0108] In one embodiment, the operating status information includes at least operating voltage, operating current, operating temperature and capacity.

[0109] Each module in the above-mentioned power battery state of charge estimation device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a memory in the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0110] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, memory and I / O interface are connected via a system bus, and the communication interface is connected to the system bus via the I / O interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data such as the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round. The I / O interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for estimating the state of charge of a power battery is implemented.

[0111] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0112] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0113] When the target vehicle is powered on, obtain operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells;

[0114] Invoke the state-of-charge estimation algorithm to estimate the state-of-charge of each battery cell in the current estimation cycle based on the operating state information of each battery cell in the previous estimation cycle and the corresponding intermediate parameters, and obtain the state-of-charge of each battery cell in the current estimation cycle;

[0115] Wherein, when the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0116] In one embodiment, the number of cycles is determined based on the time complexity of the state of charge estimation algorithm.

[0117] In one embodiment, when the current estimation round is the first estimation round, before the processor executes the computer program to obtain the operating status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round, the processor further implements the following steps:

[0118] Obtain the time complexity of the state of charge estimation algorithm; determine the number of estimation cycles in each estimation round based on the time complexity, the duration of a single round of estimation, and the number of cells in each power battery; and determine the cell corresponding to each estimation cycle in each estimation round based on the number of cycles and the number of cells.

[0119] In one embodiment, when the processor executes the computer program to determine the single battery corresponding to each estimation cycle in each estimation round based on the number of cycles and the number of batteries, the processor further implements the following steps:

[0120] Based on the number of cycles and the number of batteries, determine the number of cells in the single battery corresponding to each estimation cycle in each estimation round; based on the number of cells corresponding to each estimation cycle and the battery number of each single battery, determine the starting number and ending number of the single battery corresponding to each estimation cycle; based on the starting number and ending number corresponding to each estimation cycle, determine the single battery corresponding to each estimation cycle.

[0121] In one embodiment, when the processor executes the computer program to obtain the operating status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round, the processor further implements the following steps:

[0122] When the current estimation round is not the first estimation round, if the stop state of charge estimation instruction is not detected, the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round are obtained.

[0123] In one embodiment, the operating status information includes at least operating voltage, operating current, operating temperature and capacity.

[0124] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0125] When the target vehicle is powered on, obtain operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells;

[0126] Invoke the state-of-charge estimation algorithm to estimate the state-of-charge of each battery cell in the current estimation cycle based on the operating state information of each battery cell in the previous estimation cycle and the corresponding intermediate parameters, and obtain the state-of-charge of each battery cell in the current estimation cycle;

[0127] Wherein, when the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0128] In one embodiment, the number of cycles is determined based on the time complexity of the state of charge estimation algorithm.

[0129] In one embodiment, when the current estimation round is the first estimation round, before the processor executes the computer program to obtain the operating status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round, the processor further implements the following steps:

[0130] Obtain the time complexity of the state of charge estimation algorithm; determine the number of estimation cycles in each estimation round based on the time complexity, the duration of a single round of estimation, and the number of cells in each power battery; and determine the cell corresponding to each estimation cycle in each estimation round based on the number of cycles and the number of cells.

[0131] In one embodiment, when the processor executes the computer program to determine the single battery corresponding to each estimation cycle in each estimation round based on the number of cycles and the number of batteries, the processor further implements the following steps:

[0132] Based on the number of cycles and the number of batteries, determine the number of cells in the single battery corresponding to each estimation cycle in each estimation round; based on the number of cells corresponding to each estimation cycle and the battery number of each single battery, determine the starting number and ending number of the single battery corresponding to each estimation cycle; based on the starting number and ending number corresponding to each estimation cycle, determine the single battery corresponding to each estimation cycle.

[0133] In one embodiment, when the processor executes the computer program to obtain the operating status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round, the processor further implements the following steps:

[0134] When the current estimation round is not the first estimation round, if the stop state of charge estimation instruction is not detected, the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round are obtained.

[0135] In one embodiment, the operating status information includes at least operating voltage, operating current, operating temperature and capacity.

[0136] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0137] When the target vehicle is powered on, obtain operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells;

[0138] Invoke the state-of-charge estimation algorithm to estimate the state-of-charge of each battery cell in the current estimation cycle based on the operating state information of each battery cell in the previous estimation cycle and the corresponding intermediate parameters, and obtain the state-of-charge of each battery cell in the current estimation cycle;

[0139] Wherein, when the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively.

[0140] In one embodiment, the number of cycles is determined based on the time complexity of the state of charge estimation algorithm.

[0141] In one embodiment, when the current estimation round is the first estimation round, before the processor executes the computer program to obtain the operating status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round, the processor further implements the following steps:

[0142] Obtain the time complexity of the state of charge estimation algorithm; determine the number of estimation cycles in each estimation round based on the time complexity, the duration of a single round of estimation, and the number of cells in each power battery; and determine the cell corresponding to each estimation cycle in each estimation round based on the number of cycles and the number of cells.

[0143] In one embodiment, when the processor executes the computer program to determine the single battery corresponding to each estimation cycle in each estimation round based on the number of cycles and the number of batteries, the processor further implements the following steps:

[0144] Based on the number of cycles and the number of batteries, determine the number of cells in the single battery corresponding to each estimation cycle in each estimation round; based on the number of cells corresponding to each estimation cycle and the battery number of each single battery, determine the starting number and ending number of the single battery corresponding to each estimation cycle; based on the starting number and ending number corresponding to each estimation cycle, determine the single battery corresponding to each estimation cycle.

[0145] In one embodiment, when the processor executes the computer program to obtain the operating status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round, the processor further implements the following steps:

[0146] When the current estimation round is not the first estimation round, if the stop state of charge estimation instruction is not detected, the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round are obtained.

[0147] In one embodiment, the operating status information includes at least operating voltage, operating current, operating temperature and capacity.

[0148] It should be noted that the data involved in this application (including but not limited to data used for analysis, storage, display, etc.) are all information and data fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0149] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic devices based on quantum computing, and the like.

[0150] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0151] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for estimating the state of charge of a power battery, characterized in that: The method comprises: When the target vehicle is powered on, obtaining operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells; the operating status information includes at least operating voltage, operating current, operating temperature, and capacity; Invoking a state-of-charge estimation algorithm to estimate the state of charge of each battery cell in sequence during an estimation cycle of a current estimation round based on the operating state information of each battery cell in a previous estimation round and the corresponding intermediate parameters, thereby obtaining the state of charge of each battery cell in the current estimation round; Wherein, when the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively; When the current estimation round is the first estimation round, before obtaining the operating status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in estimating each single cell in the previous estimation round, the method further includes: Obtaining a time complexity of the state of charge estimation algorithm; Determining the number of estimation cycles in each estimation round according to the time complexity, the duration of a single round of estimation, and the number of batteries in each single battery in the power battery; Determining, according to the number of cycles and the number of batteries, a single battery corresponding to each estimation cycle in each estimation round; The obtaining of the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round includes: When the current estimation round is not the first estimation round, if the stop state of charge estimation instruction is not detected, the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round are obtained.

2. The method according to claim 1, characterized in that The determining, based on the number of cycles and the number of batteries, the single battery corresponding to each estimation cycle in each estimation round includes: Determining the number of cells of the single battery corresponding to each estimation cycle in each estimation round according to the number of cycles and the number of batteries; Determine the starting number and ending number of the single battery corresponding to each estimation cycle according to the number of single batteries corresponding to each estimation cycle and the battery number of each single battery; The single battery corresponding to each estimation cycle is determined according to the starting number and the ending number corresponding to each estimation cycle.

3. A device for estimating the state of charge of a power battery, characterized in that: The device comprises: a parameter acquisition module, configured to, when a target vehicle is powered on, acquire operating status information of each single cell in the power battery of the target vehicle in a previous estimation round and intermediate parameters involved in estimating each single cell in the previous estimation round; wherein each estimation round includes at least two consecutive estimation cycles, the number of estimation cycles involved in different estimation rounds is the same, and different estimation cycles correspond to different single cells; the operating status information includes at least operating voltage, operating current, operating temperature, and capacity; a state estimation module, configured to call a state-of-charge estimation algorithm, and estimate the state of charge of each single battery in sequence during an estimation cycle of a current estimation round based on the working state information and corresponding intermediate parameters of each single battery in a previous estimation round, to obtain the state of charge of each single battery in the current estimation round; Wherein, when the current estimation round is the first estimation round, the working state information and the corresponding intermediate parameters of each single battery in the previous estimation round are the initial state information and the initial parameters respectively; When the current estimation round is the first estimation round, the state of charge estimation device further includes: A complexity acquisition module is used to obtain the time complexity of the state of charge estimation algorithm; A quantity determination module is used to determine the number of estimation cycles in each estimation round based on time complexity, single-round estimation duration, and the number of batteries in each single battery in the power battery; A battery determination module is used to determine the single battery corresponding to each estimation cycle in each estimation round according to the number of cycles and the number of batteries; The parameter acquisition module is also used to: When the current estimation round is not the first estimation round, if the stop state of charge estimation instruction is not detected, the working status information of each single cell in the power battery of the target vehicle in the previous estimation round and the intermediate parameters involved in the estimation of each single cell in the previous estimation round are obtained.

4. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 2 are implemented.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

6. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

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