Battery Voltage Regression for Cathode-Anode Deterioration Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing battery deterioration state calculation methods fail to precisely differentiate between cathode and anode deterioration, relying solely on battery capacity evaluation which is not sufficient for accurate status assessment.
Innovation Solution
A calculation method and system that utilize a detection value database for battery charge and voltage data, combined with a function information database for active materials, performing regression calculations to determine internal resistance and capacity values of cathode and anode, allowing for precise deterioration state assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery deterioration is evaluated based only on capacity, then the evaluation process is simple, but the precision of deterioration status assessment is insufficient
Solution Approach 1:
The patent segments the battery evaluation into separate assessments for cathode and anode deterioration. By dividing the overall battery capacity evaluation into electrode-specific evaluations using regression calculations on voltage data, the system achieves precise identification of which electrode is deteriorating without requiring physically separate measurement devices for each component.
Solution Approach 2:
The patent transitions from one-dimensional capacity-based evaluation to multi-dimensional evaluation by incorporating voltage data across different charge amounts and performing regression analysis. This dimensional expansion allows simultaneous assessment of both overall battery health and specific electrode conditions, resolving the contradiction between simplicity and precision.
2Measurement precision
If regression calculation is performed with multiple variables including active material amounts, then deterioration differentiation precision is improved, but calculation complexity increases
Solution Approach 1:
The patent introduces a detection value database as an intermediary that pre-stores voltage data obtained under various charging conditions. This database serves as a mediator between raw measurement data and the regression calculation, organizing data in a structured format that enables precise electrode differentiation while simplifying the calculation process by providing ready-to-use datasets.
Solution Approach 2:
The patent performs preliminary data collection and organization by storing detection values in a database before the actual regression calculation. By pre-acquiring voltage data at multiple charge amounts and organizing it systematically, the system prepares the necessary information in advance, making the subsequent regression analysis more efficient and precise without requiring complex real-time data processing.
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
A calculation method causing a calculation apparatus configured to calculate a voltage of a battery to implement a computation capability includes: referring to a detection value database configured to store a charge amount of a battery and a voltage of the battery, the voltage being generated when the battery is charged, while associating the charge amount of the battery with the voltage of the battery, and a function information database configured to store a function representing a relationship between the voltage and a charge amount of each of a plurality of active materials included in the battery; and performing a regression calculation on the voltage of the battery that is stored in the detection value database, with an amount of the active materials of the function stored in the function information database being set as a variable.