CN-122017572-A - Battery diagnosis device

CN122017572ACN 122017572 ACN122017572 ACN 122017572ACN-122017572-A

Abstract

The invention provides a battery diagnosis device capable of analyzing the use state of a vehicle with high precision and effectively using the battery diagnosis device for vehicle battery diagnosis. A battery diagnosis device for diagnosing a battery mounted on a vehicle, the battery diagnosis device comprising a 1 st processing unit for acquiring parking data from the vehicle, the parking data representing a period in which the vehicle is in a parked state, a 2 nd processing unit for performing frequency analysis of the parking data by using a plurality of specific periods having different lengths as window functions, a 3 rd processing unit for mapping a plurality of results obtained by the frequency analysis performed on the plurality of window functions onto four-dimensional maps expressed by elapsed time, frequency, specific period and intensity, respectively, and a 4 th processing unit for using the results mapped onto the four-dimensional maps for diagnosis of the battery.

Inventors

The wooden a line of assistant assistant

Assignees

丰田自动车株式会社

Dates

Publication Date: 20260512
Application Date: 20251029
Priority Date: 20241112

Claims (3)

1. A battery diagnosis device that diagnoses a battery mounted in a vehicle, the battery diagnosis device comprising: A1 st processing unit that acquires, from the vehicle, parking data indicating a period during which the vehicle is in a parked state; a2 nd processing unit that performs frequency analysis of the parking data using a plurality of specific periods having different lengths as window functions; A3 rd processing unit for mapping a plurality of results obtained by frequency analysis performed on the plurality of window functions, respectively, to four-dimensional graphs expressed by elapsed time, frequency, the specific period, and intensity, respectively, and And a4 th processing unit that uses the result mapped to the four-dimensional map for diagnosis of the battery.
2. The battery diagnosis device according to claim 1, wherein, The 2 nd processing unit uses the plurality of specific periods in which the ratio of the driving state in the parking data exceeds the 1 st threshold as the window function.
3. The battery diagnosis device according to claim 1 or 2, wherein, The 2 nd processing unit gradually extends the length of the specific period from an initial value, and performs predetermined error processing when the specific period exceeds a2 nd threshold.

Description

Battery diagnosis device Technical Field The present invention relates to a battery diagnosis device capable of diagnosing a battery mounted on a vehicle. Background Patent document 1 discloses an apparatus for improving prediction accuracy in predicting the remaining life of a vehicle battery (battery). In this device, a technique for predicting the remaining life of a battery by learning time-series data or the like of a degradation index of the battery is described. Patent document 1 Japanese patent laid-open No. 2020-148560 Disclosure of Invention In the device described in patent document 1, in the neural network used for estimating the degradation of the battery, the numerical value is extracted on a day-by-day basis, and the previous value is interpolated on a day on which the vehicle is not traveling (traveling), and is processed as data of the past 30 days of 1 day 1 without the missing value. However, in this method for processing the values, there is a problem that, even when the same day goes for a plurality of times, only 1 value is extracted, and therefore, for example, even if there are 10 trips within 1 day, only any one of the values is the target, and even if the values of the remaining 9 trips are the values that have an influence on the degradation estimation, these values are not reflected at all. Therefore, there is room for further study for improving accuracy in the analysis method of data used for degradation diagnosis of an in-vehicle battery. The present invention has been made in view of the above-described problems, and an object thereof is to provide a battery diagnosis device capable of analyzing the use state of a vehicle with high accuracy and effectively using the battery diagnosis device for diagnosis of a vehicle-mounted battery. In order to solve the above-described problems, one aspect of the present invention is a battery diagnosis device for diagnosing a battery mounted on a vehicle, the battery diagnosis device including a1 st processing unit for acquiring parking data indicating a period in which the vehicle is in a parked state from the vehicle, a2 nd processing unit for performing frequency analysis of the parking data using a plurality of specific periods having different lengths as window functions, a 3 rd processing unit for mapping a plurality of results obtained by the frequency analysis performed on the plurality of window functions, respectively, to four-dimensional maps expressed by elapsed time, frequency, specific period, and intensity, and a4 th processing unit for using the results mapped to the four-dimensional maps for diagnosis of the battery. Effects of the invention According to the battery diagnosis device of the present invention, it is possible to appropriately extract and repeat the situation of the use state of the vehicle estimated to be greatly damaged on the vehicle-mounted battery, and to analyze the situation with high accuracy. This makes it possible to effectively use the result of the high-precision analysis for diagnosis of the battery. Drawings Fig. 1 is a schematic configuration diagram of a battery diagnosis device according to an embodiment of the present invention. Fig. 2A is a flowchart of a process of battery diagnosis control performed by the battery diagnosis device. Fig. 2B is a flowchart of the process of battery diagnosis control performed by the battery diagnosis device. Fig. 3 shows an example of the binary sequence of ON/OFF. Fig. 4 is a schematic diagram showing the change of the ON/OFF ratio according to the position of a specific period. Fig. 5 is a schematic diagram of a four-dimensional diagram. Detailed Description In-vehicle batteries are likely to be damaged and easily degraded by repeated driving for a plurality of trips in which ignition ON/OFF operations (IG-ON/OFF) are repeated daily. Moreover, the number of trips in 1 day is not necessarily the same, and the time when the trips occur depends on the driver, and cannot be determined. Accordingly, in the present invention, a method has been proposed in which a frequency analysis such as a Fast Fourier Transform (FFT) is used to indicate a situation such as driving or long-term parking in which IG-ON/OFF is repeated for a short time ON the same axis. Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. < Embodiment > Structure Fig. 1 is a functional block diagram showing the schematic configuration of a battery diagnosis device 20 and a vehicle 10 according to an embodiment of the present invention. The battery diagnosis device 20 illustrated in fig. 1 is communicably connected with the vehicle 10. (1) Vehicle with a vehicle body having a vehicle body support The vehicle 10 is a Hybrid Electric Vehicle (HEV), a plug-in hybrid electric vehicle (PHEV), a pure electric vehicle (BEV), or the like, for example. The vehicle 10 includes at least a data acquisition unit 11 and a data transmission un