Degradation estimating device, computer program, and degradation estimating method
A technology for degradation and estimation, which is applied to circuit devices, measurement devices, battery circuit devices, etc., and can solve problems such as degradation
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no. 1 Embodiment approach
[0099] Hereinafter, the degradation estimating device according to the present embodiment will be described based on the drawings. figure 1 It is a figure which shows the outline|summary of the remote monitoring system 100 of this embodiment. Such as figure 1 As shown, a thermal power generation system F, a super solar power generation system S, and a wind power generation system are connected to a network N including a public communication network (such as the Internet, etc.) N1 and an operator network N2 that realizes wireless communication based on mobile communication standards. W, uninterruptible power supply (UPS: Uninterruptible Power Supply) U, rectifier (DC power supply or AC power supply) D, etc. installed in a stabilized power supply system for railways, etc. In addition, to the network N, a communication device 1 described later, a server device 2 as a degradation estimating device collecting information from the communication device 1 , a client device 3 acquirin...
no. 2 Embodiment approach
[0171] In the first embodiment described above, although the abstracted data structure such as the representative value of the SOC is used, the present invention is not limited thereto. In the second embodiment, it is possible to reduce the degree of abstraction and generate learning data closer to time-series data such as sensor information.
[0172] Figure 23 It is a schematic diagram showing an example of the SOC transition pattern of the power storage device from the first time point to the second time point. Figure 23 The SOC shift pattern shown with the Figure 13 Same as shown. The SOC estimating unit 24 generates the SOC transition pattern of the power storage element from the first time point to the second time point. For example, when the amount of time-series data of the SOC of the electric storage element between the first time point and the second time point is insufficient, and there is a time or a period when the value of the SOC is unclear, based on the ob...
no. 3 Embodiment approach
[0178] In the above-mentioned first and second embodiments, the learning processing unit 28 (processing unit 23) is configured to learn and update the learning model 27, but in the third embodiment, the learning processing unit 28 (processing unit 23) The unit 23) can make the learning model 27 learn by using the degradation value (SOH) of the power storage device output by the degradation simulator described later as learning data, and use the same processing as the first embodiment and the second embodiment to make The learned model 27 is relearned. Hereinafter, a third embodiment will be described.
[0179] Figure 25 It is a schematic diagram showing the operation of the degradation simulator 50 of the third embodiment. The degradation simulator 50 estimates (calculates) the degradation value of the power storage element when the SOC pattern and the temperature pattern are acquired as input data. The SOC pattern can be determined from a representative value of SOC. The...
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