Method and device for estimating the remaining capacity of a vehicle

Abstract

This application relates to a method and apparatus for estimating the remaining battery power of a vehicle. The method includes: detecting whether the vehicle meets preset capacity correction conditions; when the preset capacity correction conditions are met, calculating the charging capacity and discharging capacity of the battery pack; calculating the capacity difference, matching an optimal correction strategy based on the capacity difference, and obtaining the actual capacity of the battery pack based on the capacity obtained from the charging and discharging capacities and the current capacity of the battery pack according to the optimal correction strategy, and estimating the actual remaining battery power of the vehicle based on the actual capacity. Embodiments of this application can obtain the actual capacity of the battery pack based on the capacity obtained from the charging and discharging capacities and the current capacity of the battery pack according to the optimal correction strategy, and estimate the actual remaining battery power of the vehicle based on the actual capacity, thereby improving the accuracy of SOC and SOH, ensuring customer comfort during vehicle use, enhancing customer perception, increasing the effectiveness of customer time management, and reducing estimation errors.

Description

Technical Field

[0001] This application relates to the field of electric vehicle power battery remaining power strategy optimization technology, and in particular to a method and apparatus for estimating the remaining power of a vehicle. Background Technology

[0002] Currently, energy and environmental pressures are posing unprecedented challenges to the development of traditional internal combustion engine vehicles. Governments, automakers, and research institutions worldwide are investing heavily in developing new energy power sources, which has greatly promoted the development of electric vehicles. As the primary energy storage component in electric vehicles, the state of charge (SOC) and state of health (SOH) of the battery are key performance aspects that customers are concerned about. Therefore, accurate and accurate estimations, minimizing errors, are essential.

[0003] Among related technologies, patent CN109856548B primarily obtains the actual fully discharged capacity of the power battery by detecting the remaining charge of the power battery at different discharge times and then detecting the corrected remaining charge of the power battery when the vehicle is re-energized after each discharge. Based on the remaining charge, the corrected remaining charge, and the rated capacity of the power battery, the actual fully discharged capacity of the power battery is obtained. However, this method does not consider the capacity differences of battery packs at the time of manufacture during the capacity estimation process, and therefore cannot use a capacity correction method to ensure that each battery pack uses its own actual capacity value, thus reducing the accuracy of the estimation.

[0004] Patent CN115407206A primarily addresses this issue by acquiring the battery system's rated capacity, the total available capacity at the current operating moment, calculating the current SOH value of the battery system, accumulating the cumulative charge and discharge capacity in real time, monitoring the battery system's voltage state in real time, and determining whether a full charge or full discharge event has occurred. During battery charging, the system continues to accumulate the cumulative charging capacity; during battery discharging, it continues to accumulate the cumulative discharging capacity. Upon the occurrence of a full charge or full discharge event, the system records the current cumulative charging capacity, cumulative discharging capacity, current time, and current temperature, calculates the difference, determines the effectiveness of the charging and discharging process, determines the total available capacity requiring correction, and calculates and updates the battery system's SOH value. However, this solution does not consider the customer's perspective and may not guarantee customer comfort during vehicle use.

[0005] However, the relevant technologies only obtain the actual fully discharged capacity of the power battery, which makes it difficult to improve the accuracy of SOC and SOH. They do not take the customer's perspective into account, cannot guarantee the customer's comfort during vehicle use, reduce the customer's perception, are not conducive to the customer's time management, increase the estimation error, and fail to meet user needs, which urgently needs to be improved. Summary of the Invention

[0006] This application provides a method and apparatus for estimating the remaining battery power of a vehicle, in order to solve the problems of related technologies that only obtain the actual fully discharged capacity of the power battery, which makes it difficult to improve the accuracy of SOC and SOH, do not take the customer's perspective into account, cannot guarantee the comfort of the customer during vehicle use, reduce the customer's perception, are not conducive to the customer's time management, increase the estimation error, and fail to meet the user's needs.

[0007] The first aspect of this application provides a method for estimating the remaining battery power of a vehicle, comprising the following steps: detecting whether the vehicle meets a preset capacity correction condition; when the preset capacity correction condition is met, calculating the charging capacity and discharging capacity of the battery pack; calculating the capacity difference based on the charging capacity and the discharging capacity, matching an optimal correction strategy based on the capacity difference, and obtaining the actual capacity of the battery pack based on the capacity obtained from the charging capacity and the discharging capacity and the current capacity of the battery pack based on the optimal correction strategy, and estimating the actual remaining battery power of the vehicle based on the actual capacity.

[0008] Based on the above technical means, the embodiments of this application can obtain the actual capacity of the battery pack based on the capacity obtained from the charging capacity and discharging capacity and the current capacity of the battery pack, according to the optimal correction strategy. The actual remaining power of the vehicle can be estimated based on the actual capacity, thereby improving the accuracy of SOC and SOH, ensuring the comfort of customers during vehicle use, improving customer perception, increasing the effectiveness of customer time management, and reducing estimation errors.

[0009] Optionally, in one embodiment of this application, the step of matching the optimal correction strategy based on the capacity difference includes: if the capacity difference is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the power-down duration is greater than a preset duration, then the optimal correction strategy is an immediate correction strategy after power-on, wherein the second preset threshold is greater than the first preset threshold; if the capacity difference is greater than the second preset threshold and the power-down duration is greater than the preset duration, then the optimal correction strategy is a slow correction strategy during use, and after the correction is completed, the capacity is taken as the current capacity.

[0010] Based on the above technical means, the embodiments of this application can be optimized as follows: when the capacity difference is greater than or equal to the first preset threshold and less than or equal to the second preset threshold, and the power-off time is greater than the preset time, the optimal correction strategy is an immediate correction strategy after power-on; when the capacity difference is greater than the second preset threshold and the power-off time is greater than the preset time, the optimal correction strategy is a slow correction strategy during use. By using two different strategies, the immediate correction strategy and the slow correction strategy, it is easier to allow the battery pack to use its actual capacity value according to the optimal correction strategy, making the SOC estimation more accurate.

[0011] Optionally, in one embodiment of this application, the preset capacity correction condition includes the cumulative count of the first battery temperature, the current during the entire charging process, the initial charge percentage, and the final charge percentage during the first charging process all being within the corresponding first preset range reaching a first preset number of times, and the cumulative count of the second battery temperature, the initial charge percentage, and the final charge percentage during the second charging process all being within the corresponding second preset range reaching a second preset number of times.

[0012] Based on the above technical means, the embodiments of this application can minimize the time and resource costs of manual calibration by self-learning capacity under certain capacity correction conditions, and ensure that the results are closer to reality.

[0013] Optionally, in one embodiment of this application, the calculation of the charging capacity and discharging capacity of the battery pack includes: identifying the user's charging habits based on the cumulative count of DC charging and AC charging within a preset time period; and obtaining the charging capacity according to the user's habits.

[0014] Based on the above technical means, the embodiments of this application can identify the user's charging habits based on the cumulative count of DC charging and AC charging over a certain period of time, and obtain the charging capacity based on the user's habits, thereby ensuring the customer's comfort during vehicle use, improving customer perception, and effectively managing customer time.

[0015] Optionally, in one embodiment of this application, the method further includes: obtaining the current battery health status of the battery pack; and adjusting the optimal correction strategy based on the difference between the current battery health status and the rated battery health status.

[0016] Based on the above technical means, the embodiments of this application can obtain the current battery health status of the battery pack, and adjust the optimal correction strategy according to the difference between the current battery health status and the rated battery health status, thereby ensuring that users have a clear understanding of the vehicle status during use, improving customer perception and meeting customer needs.

[0017] A second aspect of this application provides a vehicle remaining battery power estimation device, comprising: a detection module for detecting whether the vehicle meets a preset capacity correction condition; a calculation module for calculating the charging capacity and discharging capacity of a battery pack when the preset capacity correction condition is met; and an estimation module for calculating a capacity difference based on the charging capacity and the discharging capacity, matching an optimal correction strategy based on the capacity difference, obtaining the actual capacity of the battery pack based on the capacity obtained from the charging capacity and the discharging capacity and the current capacity of the battery pack based on the optimal correction strategy, and estimating the actual remaining battery power of the vehicle based on the actual capacity.

[0018] Optionally, in one embodiment of this application, the estimation module includes: a first correction unit, configured to, when the capacity difference is greater than or equal to a first preset threshold and less than or equal to a second preset threshold and the power-down duration is greater than a preset duration, the optimal correction strategy is an immediate correction strategy after power-on, wherein the second preset threshold is greater than the first preset threshold; and a second correction unit, configured to, when the capacity difference is greater than the second preset threshold and the power-down duration is greater than the preset duration, the optimal correction strategy is a slow correction strategy during use, and after the correction is completed, the capacity is taken as the current capacity.

[0019] Optionally, in one embodiment of this application, the preset capacity correction condition includes the cumulative count of the first battery temperature, the current during the entire charging process, the initial charge percentage, and the final charge percentage during the first charging process all being within the corresponding first preset range reaching a first preset number of times, and the cumulative count of the second battery temperature, the initial charge percentage, and the final charge percentage during the second charging process all being within the corresponding second preset range reaching a second preset number of times.

[0020] Optionally, in one embodiment of this application, the calculation module includes: an identification unit, used to identify the user's charging habits based on the cumulative count of DC charging and AC charging within a preset time period; and a first acquisition unit, used to obtain the charging capacity according to the user's habits.

[0021] Optionally, in one embodiment of this application, it further includes: a second acquisition unit, configured to acquire the current battery health status of the battery pack; and an adjustment unit, configured to adjust the optimal correction strategy based on the difference between the current battery health status and the rated battery health status.

[0022] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the remaining battery power estimation method for the vehicle as described in the above embodiments.

[0023] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for estimating the remaining battery power of a vehicle.

[0024] The beneficial effects of the embodiments of this application are as follows:

[0025] (1) The embodiments of this application can obtain the actual capacity of the battery pack based on the capacity obtained from the charging capacity and discharging capacity and the current capacity of the battery pack, and estimate the actual remaining power of the vehicle based on the actual capacity, thereby improving the accuracy of SOC and SOH, ensuring the comfort of customers during vehicle use, improving customer perception, increasing the effectiveness of customer time management, and reducing estimation errors.

[0026] (2) In this application embodiment, when the capacity difference is greater than or equal to the first preset threshold and less than or equal to the second preset threshold and the power-off time is greater than the preset time, the best correction strategy is the immediate correction strategy after power-on. When the capacity difference is greater than the second preset threshold and the power-off time is greater than the preset time, the best correction strategy is the slow correction strategy during use. By using two different strategies, the immediate correction strategy and the slow correction strategy, it is convenient to allow the battery pack to use its actual capacity value according to the best correction strategy, so that the SOC estimation is more accurate.

[0027] (3) The embodiments of this application can identify the user's charging habits based on the cumulative count of DC charging and AC charging within a certain period of time, and obtain the charging capacity based on the user's habits, thereby ensuring the customer's comfort during vehicle use, improving customer perception, and effectively managing customer time.

[0028] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0029] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0030] Figure 1 This is a flowchart illustrating a method for estimating the remaining battery power of a vehicle according to an embodiment of this application;

[0031] Figure 2 A flowchart illustrating a method for estimating the remaining battery power of a vehicle according to an embodiment of this application;

[0032] Figure 3 This is a schematic diagram of the structure of a vehicle remaining battery power estimation device according to an embodiment of this application;

[0033] Figure 4 This is a structural schematic diagram of a vehicle provided according to an embodiment of this application.

[0034] Among them, 10-remaining battery power estimation device for vehicles: 100-detection module, 200-calculation module, 300-estimation module. Detailed Implementation

[0035] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0036] The following describes a method and apparatus for estimating the remaining battery power of a vehicle according to embodiments of this application, with reference to the accompanying drawings. Addressing the problems mentioned in the background section of the related technologies, which only obtain the actual fully discharged capacity of the power battery, making it difficult to improve the accuracy of SOC and SOH, failing to consider the customer's perspective, thus failing to guarantee customer comfort during vehicle use, reducing customer perception, hindering customer time management, increasing estimation errors, and failing to meet user needs, this application provides a method for estimating the remaining battery power of a vehicle. In this method, based on an optimal correction strategy, the actual capacity of the battery pack is obtained from the capacity obtained from the charging and discharging capacities and the current capacity of the battery pack. The actual remaining battery power of the vehicle is then estimated based on this actual capacity, thereby improving the accuracy of SOC and SOH, ensuring customer comfort during vehicle use, improving customer perception, increasing the effectiveness of customer time management, and reducing estimation errors. This solves the problems of related technologies that only obtain the actual fully discharged capacity of the power battery, making it difficult to improve the accuracy of SOC and SOH, failing to consider the customer's perspective, thus failing to guarantee customer comfort during vehicle use, reducing customer perception, hindering customer time management, increasing estimation errors, and failing to meet user needs.

[0037] Specifically, Figure 1 This is a flowchart illustrating a method for estimating the remaining battery power of a vehicle, as provided in an embodiment of this application.

[0038] like Figure 1 As shown, the method for estimating the remaining battery power of the vehicle includes the following steps:

[0039] In step S101, it is detected whether the vehicle meets the preset capacity correction conditions.

[0040] It is understood that the embodiments of this application can detect whether the vehicle meets the preset capacity correction conditions, such as by calculating the charging capacity.

[0041] For example, in the process of estimating the remaining battery power of a vehicle, this application embodiment can first detect whether the vehicle meets certain capacity correction conditions. When it is calculated that the current charging capacity meets the charging capacity under DC charging conditions and the charging capacity under AC charging conditions, it is detected that the current vehicle meets certain capacity correction conditions.

[0042] The embodiments of this application can detect whether a vehicle meets certain capacity correction conditions, thereby ensuring that customers can improve their work and life efficiency when using the vehicle, enhance customer perception, and reduce estimation errors.

[0043] Optionally, in one embodiment of this application, the preset capacity correction condition includes the cumulative count of the first battery temperature, the current during the entire charging process, the initial charge percentage, and the final charge percentage during the first charging process all being within the corresponding first preset range reaching a first preset number of times, and the cumulative count of the second battery temperature, the initial charge percentage, and the final charge percentage during the second charging process all being within the corresponding second preset range reaching a second preset number of times.

[0044] In some cases, embodiments of this application may allow the first battery temperature T to be maintained during DC charging. Min1 ≤T1≤T Max1 If the total charging current is ≤ I1, the initial charge percentage is ≤ SOC1, the final charge percentage is ≥ SOC2, and SOC2 - SOC1 ≥ X, then count 1 and record the capacity C1. After accumulating N counts, the capacity is recorded as C1, C2, ..., C. N When the cumulative number of times meets the set value, the charging capacity calculation flag is set to 1, and the charging capacity that currently meets the DC charging conditions is calculated:

[0045] Charging capacity C chrg1 =(AVERAGE(C1,C2,C3,C4,..C N )) / 0.9

[0046] Where C1 = ∑ battery current, C2...C N And so on, where N represents the number of charging cycles.

[0047] In this embodiment of the application, during AC charging, the temperature T of the second battery can be controlled. Min2 ≤T2≤T Max2 If the initial charging charge is ≤ SOC3, the final charging charge is ≥ SOC4, and SOC4 - SOC3 ≥ Y, then count 1 and record the capacity C. 11 After counting M times, the capacity is recorded as C. 11 C 21 ...C M1 When the cumulative number of times meets the set value, the charging capacity calculation flag is set to 1, and the current charging capacity that meets the AC charging conditions is calculated:

[0048] Charging capacity C chrg2 =(AVERAGE(C 11 C 21 C 31C 41 ,..C M1 )) / 0.9

[0049] Among them, C 11 =∑battery current, C 21 ...C M1 And so on, where M represents the number of charging cycles.

[0050] The embodiments of this application can minimize the time and resource costs of manual calibration by self-learning based on capacity under certain capacity correction conditions, thus ensuring that the results are closer to reality.

[0051] In step S102, when the preset capacity correction condition is met, the charging capacity and discharging capacity of the battery pack are calculated.

[0052] It is understood that the embodiments of this application can calculate the charging capacity of the battery pack, including but not limited to calculating DC charging and AC charging.

[0053] In actual implementation, the embodiments of this application can calculate the charging capacity of the battery pack when certain capacity correction conditions are met. When calculating the DC charging process, the battery temperature T... Min1 ≤T1≤T Max1 If the current during the entire charging process is ≤ I1, the initial charge percentage is ≤ SOC1, the final charge percentage is ≥ SOC2, and SOC2 - SOC1 ≥ X, then count 1 and record the capacity C1. After accumulating N counts, the capacity is recorded as C1, C2, ..., C. N When the cumulative number of times meets the set value, the charging capacity calculation flag is set to 1, and the charging capacity that currently meets the DC charging conditions is calculated. The charging capacity can be expressed as:

[0054] Charging capacity C chrg1 =(AVERAGE(C1,C2,C3,C4,..C N )) / 0.9

[0055] Where C1 = ∑ battery current, C2...C N And so on, where N represents the number of charging cycles.

[0056] For example, in this embodiment of the application, when in a DC charging scenario, the battery rated capacity = 50Ah (equipment capacity unit), battery temperature 20℃≤T1≤30℃, charging current I1≤150A, initial charging SOC1≤10%, charging end SOC2≥90%, and SOC2-SOC1 = 90% meets the above conditions. The count is recorded as 1, and the capacity C1 is recorded. After accumulating 10 counts, the capacity records are 44.2, 44.1, 44.5, 45, 44.6, 44.1, 44, 44.5, 44.3, and 44.6. The current charging capacity is calculated and can be expressed as:

[0057] Charging capacity C chrg1 =((44.2+44.1+44.5+45+44.6+44.1+44+44.5+44.3+44.6) / 0.9) / 10=49.32Ah

[0058] In this embodiment of the application, when calculating the AC charging process, the battery temperature T Min2 ≤T2≤T Max2 If the initial charging capacity is ≤ SOC3, the final charging capacity is ≥ SOC4, and SOC4 - SOC3 ≥ Y, then count 1 and record the capacity C. 11 After counting M times, the capacity is recorded as C. 11 C 21 ...C M1 When the cumulative number of times meets the set value, the charging capacity calculation flag is set to 1, and the current charging capacity that meets the AC charging conditions is calculated. The charging capacity can be expressed as:

[0059] Charging capacity C chrg2 =(AVERAGE(C 11 C 21 C 31 C 41 ,..C M1 )) / 0.9

[0060] Among them, C 11 =∑battery current, C 21 ...C M1 And so on, where M represents the number of charging cycles.

[0061] This application embodiment can calculate the discharge capacity of the battery pack and the battery temperature T when certain capacity correction conditions are met. Min3 ≤T1≤T Max4 If the discharge start charge is ≥ SOC5, the discharge end charge is ≤ SOC6, SOC3 - SOC4 ≥ Z, and the total discharge current is ≤ I2, then the count is recorded as 1, and the recording capacity is C. 13 After counting L times, the capacity is recorded as C.13 C 23 ...C L3 When the cumulative number of discharges meets the set value, the discharge capacity calculation flag is set to 1, and the current discharge capacity is calculated. The discharge capacity can be expressed as:

[0062] Discharge capacity C dchrg =((AVERAGE(C 12 C 22 C 32 C 42 ,..C L2 )) / 0.9

[0063] Among them, C 12 =∑battery current, C 23 ...C L3 And so on, where L represents the number of charging cycles.

[0064] The discharge capacity is stored after power-off. The discharge capacity calculation completion flag is set to 1, and then the power-off storage is performed.

[0065] For example, in this embodiment of the application, when in a discharge scenario, the battery rated capacity = 50Ah, battery temperature 20℃≤T1≤30℃, discharge current I1≤150A, discharge start SOC3≥90%, discharge end SOC4≤10%, SOC3-SOC4=90%. If the above conditions are met, the count is recorded as 1, and the capacity C1 is recorded. After accumulating 10 counts, the capacity records are 44.2, 44.1, 44.2, 44.6, 44.1, 44.1, 44, 44.5, 44.3, 44.1. The current discharge capacity is calculated, and the discharge capacity can be expressed as:

[0066] Discharge capacity C dchrg =(44.2+44.1+44.5+45+44.6+44.1+44+44.5+44.3+44.6 / 0.9) / 10=49.13Ah

[0067] The embodiments of this application can calculate the charging capacity and discharging capacity of the battery pack when certain capacity correction conditions are met. This facilitates the subsequent determination of the actual capacity of the battery pack based on the capacity obtained from the charging and discharging capacities and the current capacity of the battery pack. This improves the accuracy of SOC and SOH, thereby reducing the manual calibration process during bench or vehicle testing, ensuring self-learning, precise positioning, a clear process, and definite results.

[0068] Optionally, in one embodiment of this application, calculating the charging capacity and discharging capacity of the battery pack includes: identifying the user's charging habits based on the cumulative count of DC charging and AC charging within a preset time period; and obtaining the charging capacity according to the user's habits.

[0069] It is understood that the charging capacity in this application embodiment is ultimately determined based on the user's charging habits, which can be obtained based on the cumulative count of DC charging and AC charging over a certain period of time.

[0070] In some cases, embodiments of this application can first count the number of AC or DC charging cycles performed by the user over a 3-month period, and calculate the charging capacity value according to the ratio of the number of cycles. For example, if the ratio of AC charging to DC charging is a:b, the charging capacity calculation can be expressed as:

[0071] Charging capacity C chrg =C chrg1 *(b / (a+b))+C chrg2 *(a / (a+b))

[0072] This application embodiment can store the charging capacity after power-off. The charging capacity calculation completion flag is set to 1 and then stored after power-off. The user's charging habits are identified based on the cumulative count of DC charging and AC charging within a certain period of time. The charging capacity is obtained based on the user's habits, thereby ensuring the comfort of the customer during vehicle use, improving customer perception, and effectively managing customer time.

[0073] In step S103, the capacity difference is calculated based on the charging capacity and the discharging capacity, and the optimal correction strategy is matched based on the capacity difference. Based on the optimal correction strategy, the actual capacity of the battery pack is obtained based on the capacity obtained from the charging capacity and the discharging capacity and the current capacity of the battery pack. The actual remaining power of the vehicle is estimated based on the actual capacity.

[0074] It is understood that the capacity difference in the embodiments of this application can be calculated by charging capacity and discharging capacity, and the optimal correction strategy can be the vehicle remaining power estimation optimization strategy.

[0075] As one possible implementation, embodiments of this application can calculate the capacity difference based on the charging capacity and discharging capacity. When both the charging capacity calculation completion flag and the discharging capacity calculation completion flag are 1, the calculation of capacity and capacity difference begins.

[0076] Capacity C = (C chrg +C dchrg ) / 2

[0077] Capacity difference k = ((C) 额定 -C) / C 额定 )*100%

[0078] This application embodiment can be used when the capacity difference is SOC x1 ≤k≤SOC x2If the power-down time is greater than t1, the SOC is immediately corrected after power-on, and the capacity C replaces the rated capacity. In this embodiment of the application, when the capacity difference k > SOC, the SOC can be adjusted. x2 When the power-down time is greater than t1, the SOC approaches the SOC after power-up. 容 The correction will be made slowly during subsequent use. Once the correction is complete, capacity C will replace the rated capacity.

[0079] SOC 容 =(C 当前 / C)*100%

[0080] The embodiments of this application can match the optimal correction strategy based on the capacity difference calculated from the charging capacity and discharging capacity. According to the optimal correction strategy, the actual capacity of the battery pack is obtained by combining the capacity obtained from the charging capacity and discharging capacity with the current capacity of the battery pack. The actual remaining power of the vehicle is estimated based on the actual capacity, thereby improving the accuracy of SOC and SOH, ensuring the comfort of customers during vehicle use, improving customer perception, increasing the effectiveness of customer time management, and reducing estimation errors.

[0081] Optionally, in one embodiment of this application, the optimal correction strategy based on the capacity difference includes: if the capacity difference is greater than or equal to a first preset threshold and less than or equal to a second preset threshold and the power-down duration is greater than a preset duration, then the optimal correction strategy is an immediate correction strategy after power-on, wherein the second preset threshold is greater than the first preset threshold; if the capacity difference is greater than the second preset threshold and the power-down duration is greater than the preset duration, then the optimal correction strategy is a slow correction strategy during use, and after the correction is completed, the capacity is taken as the current capacity.

[0082] It is understood that the capacity difference in this embodiment can be the capacity difference calculated from the charging capacity and the discharging capacity, and the first preset threshold in this embodiment can be set to SOC. x1 ≤ Capacity difference k ≤ SOC x2 The second threshold can be set as capacity difference k > SOC. x2 The preset power-off duration can be set to t1.

[0083] In actual implementation, the embodiments of this application can begin calculating the capacity and capacity difference when both the charging capacity calculation completion flag and the discharging capacity calculation completion flag are 1:

[0084] Capacity C = (C chrg +C dchrg ) / 2

[0085] Capacity difference k = ((C) 额定 -C) / C 额定 )*100%

[0086] If the capacity difference is SOC x1≤k≤SOC x2 If the power-down time is greater than t1, the SOC is immediately corrected after power-on, and the capacity C replaces the rated capacity. If the capacity difference k > SOC, x2 The power-down time is greater than t1, and the SOC approaches the SOC after power-up. 容 The correction will be made slowly during subsequent use. Once the correction is complete, capacity C will replace the rated capacity.

[0087] SOC 容 =(C 当前 / C)*100%

[0088] For example, embodiments of this application can perform SOC calculations:

[0089] C = (C chrg1 +C dchrg ) / 2=(49.32+49.13) / 2=49.23Ah

[0090] Capacity difference k = ((C) 额定 -C) / C 额定 )*100%=((50-49.23) / 50)*100%=1.55%

[0091] SOC 容 =(C 当前 / C)*100%=(40 / 49.23)*100%=81.25%

[0092] SOC = (40 / 50) * 100% = 80%

[0093] K = 81.25% - 80% = 1.25%

[0094] When the capacity difference k ≤ 2% and the power-off time is greater than 3 hours, the SOC is immediately corrected after power-on, and the rated capacity C = 49.23Ah is used to replace the rated capacity. When the capacity difference k > 2% and the power-off time is greater than 3 hours, the SOC approaches the rated SOC after power-on. 容 The capacity will be gradually corrected during subsequent use, and after the correction is completed, capacity C will replace the rated capacity.

[0095] In this embodiment, when the capacity difference is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the power-off time is greater than a preset time, the optimal correction strategy is an immediate correction strategy after power-on. When the capacity difference is greater than the second preset threshold and the power-off time is greater than the preset time, the optimal correction strategy is a slow correction strategy during use. By using two different strategies, the immediate correction strategy and the slow correction strategy, it is easier to allow the battery pack to use its actual capacity value according to the optimal correction strategy, making the SOC estimation more accurate.

[0096] Optionally, in one embodiment of this application, the method further includes: obtaining the current battery health status of the battery pack; and adjusting the optimal correction strategy based on the difference between the current battery health status and the rated battery health status.

[0097] It is understood that the embodiments of this application can obtain the current battery health status of the battery pack, such as by detecting the SOH of the battery in real time during battery charging.

[0098] In some embodiments, the SOH calculation formula is as follows:

[0099] SOH 容 =(1-((C) 额定 -C) / C 额定 ))*100%

[0100] When SOH-SOH 容 If the power-down time is greater than t1, the SOH is immediately corrected after power-on, and the SOH is updated for the first time. 容 The capacity C replaces the rated capacity (and will not be replaced subsequently); when SOH 容 >Y1, SOH approaches SOH 容 At that time, the correction is gradually made under the next high-voltage condition, and after power is restored, SOH = SOH. 容 .

[0101] For example, in the embodiments of this application, SOH calculation can be performed first:

[0102] SOH 容 =(1-((C) 额定 -C) / C 额定 ))*100%=(1-((50-49.23) / 50))*100%=98.46%

[0103] If SOH = 99%, when SOH - SOH 容 =0.54%≤1%, when the power-off time is greater than 3 hours, the SOH should be corrected immediately after power-on, and the SOH should be updated for the first time. 容 The capacity C replaces the rated capacity (and will not be replaced subsequently); when SOH-SOH 容 >1%, SOH approaches SOH 容时 The correction is made gradually under the next high-voltage condition, and after power is restored, SOH = SOH. 容

[0104] This application embodiment can obtain the current battery health status of the battery pack, and adjust the optimal correction strategy based on the difference between the current battery health status and the rated battery health status, thereby ensuring that users have a clear understanding of the vehicle status during use, improving customer perception, and meeting customer needs.

[0105] Specifically, in combination Figure 2 As shown, the working principle of the vehicle remaining battery power estimation method of this application embodiment is explained in detail with a specific embodiment.

[0106] like Figure 2 As shown, embodiments of this application may include the following steps:

[0107] Step S201: Charging capacity calculation. This application embodiment can calculate the charging capacity of the battery pack, including but not limited to calculating DC charging and AC charging.

[0108] Step S202: Discharge capacity calculation. This embodiment of the application can calculate the discharge capacity of the battery pack, facilitating the calculation of the capacity difference based on the charging and discharging capacities, and matching the optimal correction strategy based on the capacity difference.

[0109] Step S203: SOC Calculation. In this embodiment of the application, when both the charging capacity calculation completion flag and the discharging capacity calculation completion flag are 1, the capacity and capacity difference are calculated, and SOC calculation is performed.

[0110] Step S204: State of Health (SOH) Calculation. In this embodiment, the optimal correction strategy can be adjusted based on the difference between the current battery health status and the rated battery health status (SOH) during quality inspection to perform SOH calculation.

[0111] The vehicle remaining battery power estimation method proposed in this application can, based on an optimal correction strategy, obtain the actual capacity of the battery pack from the charging and discharging capacities and the current capacity of the battery pack. The actual remaining battery power of the vehicle is then estimated based on this actual capacity, thereby improving the accuracy of State of Charge (SOC) and State of Balance (SOH), ensuring customer comfort during vehicle use, enhancing customer perception, increasing the effectiveness of customer time management, and reducing estimation errors. This solves the problems of related technologies that only obtain the actual fully discharged capacity of the power battery, making it difficult to improve the accuracy of SOC and SOH, failing to consider the customer's perspective, unable to guarantee customer comfort during vehicle use, reducing customer perception, hindering customer time management, increasing estimation errors, and failing to meet user needs.

[0112] Next, referring to the accompanying drawings, a vehicle remaining power estimation device according to an embodiment of this application is described.

[0113] Figure 3 This is a schematic diagram of the remaining battery power estimation device for a vehicle according to an embodiment of this application.

[0114] like Figure 3 As shown, the vehicle's remaining battery power estimation device 10 includes: a detection module 100, a calculation module 200, and an estimation module 300.

[0115] Specifically, the detection module 100 is used to detect whether the vehicle meets the preset capacity correction conditions.

[0116] The calculation module 200 is used to calculate the charging capacity and discharging capacity of the battery pack when the preset capacity correction conditions are met.

[0117] The estimation module 300 is used to calculate the capacity difference based on the charging capacity and the discharging capacity, match the optimal correction strategy based on the capacity difference, and obtain the actual capacity of the battery pack based on the capacity obtained from the charging capacity and the discharging capacity and the current capacity of the battery pack based on the optimal correction strategy, and estimate the actual remaining power of the vehicle based on the actual capacity.

[0118] Optionally, in one embodiment of this application, the estimation module 300 includes: a first correction unit and a second correction unit.

[0119] The first correction unit is configured to, when the capacity difference is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the power-down duration is greater than a preset duration, adopt the optimal correction strategy of immediately correcting after power-up, wherein the second preset threshold is greater than the first preset threshold.

[0120] The second correction unit is used to determine the optimal correction strategy as a slow correction strategy during use when the capacity difference is greater than the second preset threshold and the power-down duration is greater than the preset duration, and to use the capacity as the current capacity after the correction is completed.

[0121] Optionally, in one embodiment of this application, the preset capacity correction condition includes the cumulative count of the first battery temperature, the current during the entire charging process, the initial charge percentage, and the final charge percentage during the first charging process all being within the corresponding first preset range reaching a first preset number of times, and the cumulative count of the second battery temperature, the initial charge percentage, and the final charge percentage during the second charging process all being within the corresponding second preset range reaching a second preset number of times.

[0122] Optionally, in one embodiment of this application, the calculation module 200 includes: an identification unit and a first acquisition unit.

[0123] The identification unit is used to identify a user's charging habits based on the cumulative count of DC charging and AC charging within a preset time period.

[0124] The first acquisition unit is used to obtain the charging capacity according to the user's habits.

[0125] Optionally, in one embodiment of this application, the vehicle's remaining battery power estimation device 10 further includes a second acquisition unit and an adjustment unit.

[0126] The second acquisition unit is used to acquire the current battery health status of the battery pack.

[0127] The adjustment unit is used to adjust the optimal correction strategy based on the difference between the current battery health status and the rated battery health status.

[0128] It should be noted that the explanation of the above-described embodiment of the vehicle's remaining battery power estimation method also applies to the vehicle's remaining battery power estimation device in this embodiment, and will not be repeated here.

[0129] The vehicle remaining power estimation device proposed in this application can, based on an optimal correction strategy, obtain the actual capacity of the battery pack from the capacity obtained from charging and discharging capacity and the current capacity of the battery pack, and estimate the actual remaining power of the vehicle based on the actual capacity. This improves the accuracy of SOC and SOH, ensures customer comfort during vehicle use, enhances customer perception, increases the effectiveness of customer time management, and reduces estimation errors. Therefore, it solves the problems of related technologies that only obtain the actual fully discharged capacity of the power battery, making it difficult to improve the accuracy of SOC and SOH, failing to consider the customer's perspective, unable to guarantee customer comfort during vehicle use, reducing customer perception, hindering customer time management, increasing estimation errors, and failing to meet user needs.

[0130] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include:

[0131] The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0132] When the processor 402 executes the program, it implements the vehicle's remaining battery power estimation method provided in the above embodiments.

[0133] Furthermore, the vehicle also includes:

[0134] Communication interface 403 is used for communication between memory 401 and processor 402.

[0135] The memory 401 is used to store computer programs that can run on the processor 402.

[0136] The memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0137] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be divided into address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0138] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0139] Processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0140] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for estimating the remaining battery power of a vehicle.

[0141] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0142] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0143] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0144] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0145] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0146] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0147] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0148] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for estimating the remaining battery power of a vehicle, characterized in that, Includes the following steps: Check whether the vehicle meets the preset capacity correction conditions; When the preset capacity correction condition is met, the charging capacity and discharging capacity of the battery pack are calculated; The capacity difference is calculated based on the charging capacity and the discharging capacity, and an optimal correction strategy is matched based on the capacity difference. Based on the optimal correction strategy, the actual capacity of the battery pack is obtained from the capacity obtained from the charging capacity and the discharging capacity, and the current capacity of the battery pack. The actual remaining battery power of the vehicle is estimated based on the actual capacity. The calculation formulas for obtaining the actual capacity of the battery pack from the capacity obtained from the charging capacity and the discharging capacity, and the current capacity of the battery pack, are as follows: Capacity C = (C chrg +C dchrg ) / 2, SOCIETY 容 =(C 当前 / C)*100%, Among them, C chrg For the charging capacity, C dchrg Let C be the discharge capacity, and C be the capacity. 当前 The current capacity of the battery pack, SOC 容 This refers to the actual capacity of the battery pack; The capacity difference is: Capacity difference k = ((C) 额定 -C) / C 额定 )*100%, Among them, C 额定 Rated capacity; The step of matching the optimal correction strategy based on the capacity difference includes: if the capacity difference is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the power-down duration is greater than a preset duration, then the optimal correction strategy is an immediate correction strategy after power-on, wherein the second preset threshold is greater than the first preset threshold; if the capacity difference is greater than the second preset threshold and the power-down duration is greater than the preset duration, then the optimal correction strategy is a slow correction strategy during use, and after the correction is completed, the capacity is taken as the current capacity; The preset capacity correction conditions include the cumulative count of the first battery temperature, the current during the entire charging process, the initial charge percentage, and the final charge percentage during the first charging process all falling within the corresponding first preset range reaching a first preset number of times, and the cumulative count of the second battery temperature, the initial charge percentage, and the final charge percentage during the second charging process all falling within the corresponding second preset range reaching a second preset number of times during the AC charging process.

2. The method according to claim 1, characterized in that, The calculation of the battery pack's charging and discharging capacity includes: The user's charging habits are identified by the cumulative count of DC charging and AC charging within a preset time period; The charging capacity is obtained based on the user's charging habits.

3. The method according to claim 1, characterized in that, Also includes: Obtain the current battery health status of the battery pack; The optimal correction strategy is adjusted based on the difference between the current battery health status and the rated battery health status.

4. A device for estimating the remaining battery power of a vehicle, characterized in that, include: The detection module is used to detect whether the vehicle meets the preset capacity correction conditions; The calculation module is used to calculate the charging capacity and discharging capacity of the battery pack when the preset capacity correction conditions are met. An estimation module is used to calculate the capacity difference based on the charging capacity and the discharging capacity, match an optimal correction strategy based on the capacity difference, and, based on the optimal correction strategy, obtain the actual capacity of the battery pack based on the capacity obtained from the charging capacity and the discharging capacity and the current capacity of the battery pack, and estimate the actual remaining battery power of the vehicle based on the actual capacity. The calculation formulas for obtaining the actual capacity of the battery pack based on the capacity obtained from the charging capacity and the discharging capacity and the current capacity of the battery pack are as follows: Capacity C = (C chrg +C dchrg ) / 2, SOCIETY 容 =(C 当前 / C)*100%, Among them, C chrg For the charging capacity, C dchrg Let C be the discharge capacity, and C be the capacity. 当前 The current capacity of the battery pack, SOC 容 This refers to the actual capacity of the battery pack; The capacity difference is: Capacity difference k = ((C) 额定 -C) / C 额定 )*100%, Among them, C 额定 Rated capacity; The estimation module includes: a first correction unit, configured to, when the capacity difference is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, and the power-down duration is greater than a preset duration, use an immediate correction strategy after power-on, wherein the second preset threshold is greater than the first preset threshold; and a second correction unit, configured to, when the capacity difference is greater than the second preset threshold and the power-down duration is greater than the preset duration, use a slow correction strategy during use, and after correction is completed, use the capacity as the current capacity; The preset capacity correction conditions include the cumulative count of the first battery temperature, the current during the entire charging process, the initial charge percentage, and the final charge percentage during the first charging process all falling within the corresponding first preset range reaching a first preset number of times, and the cumulative count of the second battery temperature, the initial charge percentage, and the final charge percentage during the second charging process all falling within the corresponding second preset range reaching a second preset number of times during the AC charging process.

5. A vehicle, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the remaining battery power estimation method for a vehicle as described in any one of claims 1-3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the remaining battery power estimation method for a vehicle as described in any one of claims 1-3.

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