Battery Degradation Prediction from Simulated Operation Plans
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Solution Overview
Problem
Existing methods fail to accurately estimate the degradation state of batteries before operation, particularly in battery-mounted apparatuses, necessitating a solution for predicting degradation based on operation plans.
Innovation Solution
An information processing system and method that calculates time-series data of current, voltage, and temperature changes using operation plan information and electrochemical models to predict battery degradation, employing a degradation prediction model to assess the battery's state before operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement data is collected during actual battery operation to estimate degradation, then measurement precision is improved, but loss of time occurs because degradation can only be estimated after operation has occurred
Solution Approach 1:
The patent applies preliminary action by using electrochemical models to simulate battery operation and calculate degradation states before actual operation occurs. The system pre-calculates time-series data of current, voltage, and temperature changes based on operation plans, enabling degradation estimation in advance without waiting for actual battery usage to generate measurement data.
2Loss of time
If electrochemical models are used to predict degradation before operation, then loss of time is reduced, but device complexity increases due to model calculation requirements
Solution Approach 1:
The patent applies copying by creating a virtual replica of the battery system through electrochemical models. Instead of directly measuring the physical battery, the system copies the battery's electrical and thermal characteristics into a computational model that can be simulated without the actual hardware, thereby reducing time delay while managing complexity through software-based modeling.
Solution Approach 2:
The patent applies parameter changes by transforming physical battery parameters (current, voltage, temperature) into computational representations within the electrochemical model. The system calculates time-series data of these parameters through mathematical models, converting physical measurement requirements into computational parameter calculations that can be performed in advance.
3Productivity
If operation plan information is used to calculate time-series data, then productivity is improved by enabling advance degradation assessment, but measurement precision may be compromised due to reliance on predicted rather than actual data
Solution Approach 1:
The patent applies feedback by continuously refining the electrochemical models based on the calculated time-series data and comparing predicted degradation states with actual battery behavior when available. The system uses operation plan information to generate predictions, then validates these predictions against actual measurements to improve model accuracy, creating a feedback loop that enhances both productivity and measurement precision over time.
Data Source
AI summary
In embodiments, an information processing method for a battery includes: calculating, based on operation plan information indicating an operation plan of either the battery or a battery-mounted apparatus in which the battery is mounted, time-series data indicating a time change in each of a current, a voltage, and a temperature of the battery of a case where the battery is operated in accordance with the operation plan in the operation plan information. In the information processing method, a degradation state of the battery of the case where the battery is operated in accordance with the operation plan is calculated using the calculated time-series data.