Battery SOH Estimation Using Rest Period Environment Data
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Solution Overview
Problem
Existing battery management systems fail to accurately estimate the state of health (SOH) of batteries during rest periods, as they do not account for natural discharge and environmental factors that affect battery aging.
Innovation Solution
A battery management apparatus that includes a processor to detect rest periods, collect environment information, and determine SOH based on this data, using a rest period detector, environment information collector, and SOH determiner, which preprocesses SOC and environment data to reflect aging during standby times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the battery management system operates continuously to estimate SOH, then the SOH estimation accuracy during usage periods is improved, but the energy consumption and system complexity increase
Solution Approach 1:
The system performs SOH estimation periodically during rest periods rather than continuously. The processor detects when the battery is in a rest period (vehicle ignition off, battery in standby state) and collects environment information only during these periods, reducing energy consumption while maintaining accurate SOH estimation capability.
Solution Approach 2:
The system collects environment information (temperature, humidity, location) during rest periods before the next usage period begins. This preliminary data collection allows the system to prepare accurate SOH estimation data in advance, ensuring continuous monitoring capability without requiring constant active sensing during high-power usage periods.
2Measurement precision
If the battery management system collects environment information during rest periods, then the SOH estimation accuracy is improved, but the device complexity increases
Solution Approach 1:
The processor performs multiple functions: it detects rest periods, collects environment information, calculates SOC maintenance rates, and estimates SOH. By making the processor multi-functional rather than adding separate dedicated components for each function, the system improves SOH estimation accuracy while minimizing the increase in device complexity.
Solution Approach 2:
The battery management system uses the battery's own rest periods (when the vehicle is not in use) to collect environment information and update SOH estimates. The system serves itself by utilizing naturally occurring idle time for data collection and processing, rather than requiring additional active monitoring infrastructure.
3Measurement precision
If the system monitors battery during rest periods, then the aging assessment accuracy is improved, but the loss of time for other operations increases
Solution Approach 1:
The system monitors battery parameters periodically during rest periods rather than continuously. By detecting rest periods and collecting environment information only during these times, the system improves aging assessment accuracy without interfering with normal vehicle operations during usage periods, as rest periods are naturally occurring intervals when the vehicle is not in use.
Data Source
AI summary
Apparatuses and methods for estimating a state of a battery in a battery management system is provided. A battery management apparatus includes a rest period detector configured to detect a rest period of a battery, an environment information collector configured to collect environment information during the rest period, and a state of health (SOH) determiner configured to determine an SOH of the battery based on the collected environment information.