Battery Aging Estimation Using State-Dependent Temperature Algorithms
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Solution Overview
Problem
Existing methods for calculating the aging degree of a battery pack are inaccurate due to reliance on temperature measurements, which are influenced by internal resistance and require precise temperature measurement of battery cells.
Innovation Solution
A method and apparatus that calculate the aging degree of a battery by determining the appropriate temperature of a battery cell using different algorithms based on the duration of the battery's state change, allowing for accurate estimation of internal resistance and aging degree.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature measurement is used to estimate aging degree, then aging degree can be estimated, but measurement precision deteriorates because temperature is highly dependent on state changes and duration
Solution Approach 1:
The patent applies dynamics by switching between different temperature estimation algorithms based on the battery's state changes and duration. When duration is short, a first algorithm is used; when duration is long, a second algorithm is used. This dynamic adaptation allows the system to maintain reliable aging degree estimation while accounting for temperature dependencies on state changes.
Solution Approach 2:
The patent changes the parameter of temperature estimation methodology based on operating conditions. By monitoring duration and state changes, the system selects appropriate algorithms (first algorithm for short duration, second algorithm for long duration), effectively changing the estimation parameter to maintain both measurement precision and reliability across different operating scenarios.
2Device complexity
If a single temperature algorithm is used for all states, then device complexity is reduced, but measurement precision deteriorates due to state-dependent temperature variations
Solution Approach 1:
The system dynamically selects between a first algorithm and a second algorithm based on the battery's state and duration. This dynamic approach maintains measurement precision by using state-appropriate algorithms while keeping the overall system manageable through clear switching logic based on monitored parameters.
Solution Approach 2:
The battery management system automatically determines the appropriate algorithm to use by monitoring its own state changes and duration, without requiring external intervention. The system self-adjusts its temperature estimation methodology based on its operating conditions, maintaining precision without adding significant operational complexity.
Data Source
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AI summary
Provided is a method of calculating an aging degree of a battery, the method including obtaining a duration of the battery in a first state, when a use state of the battery is changed from the first state to a second state, determining whether the obtained duration is greater than or equal to a first reference time, calculating an average temperature of the battery based on a first algorithm when the duration is less than the first reference time, and calculating the average temperature of the battery based on a second algorithm when the duration is greater than or equal to a reference time , and calculating the aging degree of the battery based on the calculated average temperature.