Battery Deterioration Suppression via SOC Histogram Analysis
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Solution Overview
Problem
Existing battery charging systems fail to create optimal charge plans that effectively suppress deterioration, requiring user input of conditions and are inefficient for large-capacity batteries.
Innovation Solution
A system that generates a histogram of state of charge (SOC) duration, calculates an actual SOC range, and recommends an SOC range with reduced deterioration based on statistical patterns and battery characteristics, prompting users to use the battery within this range through a display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a general rechargeable product is charged easily without systematic planning, then ease of operation is improved, but battery deterioration is accelerated and battery life is reduced
Solution Approach 1:
The system automatically analyzes the user's charging behavior patterns and determines optimal charging parameters without requiring user input or manual configuration. The controller self-adjusts charging strategies based on learned usage patterns, making the battery care function work autonomously while extending battery life.
Solution Approach 2:
The system continuously monitors charging history and usage patterns, processes this data to identify optimal charging windows, and adjusts charging parameters accordingly. This closed-loop feedback mechanism enables the system to improve battery longevity while adapting to changing user behaviors over time.
2Reliability
If a charge plan is created based on user input of use conditions, then battery deterioration suppression is improved, but device complexity and user burden increase
Solution Approach 1:
The system automatically analyzes the user's charging behavior patterns and determines optimal charging parameters without requiring user input or manual configuration. The controller self-adjusts charging strategies based on learned usage patterns, making the battery care function work autonomously while extending battery life.
Solution Approach 2:
The system creates a virtual model of the user's charging behavior by analyzing historical data and reproduces optimal charging patterns based on this copied behavioral information. This allows the system to generate personalized charging plans without directly interacting with or complicating the user interface.
3Ease of operation
If the battery is charged to full charge according to use timing, then ease of operation is improved, but optimal charge is not achieved and battery deterioration increases
Solution Approach 1:
The system dynamically adjusts charging parameters such as charging capacity, charging rate, and charging timing windows based on the user's actual usage patterns. Instead of always charging to 100%, the system optimizes the state of charge range to match real-world usage, thereby reducing unnecessary charging cycles and extending battery life while maintaining convenience.
Data Source
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AI summary
A histogram generation unit generates a histogram of a duration of stay time of state of charge (SOC) of a battery based on battery data. An actual SOC range calculation unit specifies, as an actual SOC use range, an SOC range within a predetermined appearance probability from the histogram. A recommended SOC range calculation unit calculate a recommended SOC use range in which deterioration is more suppressed than the actual SOC use range based on a statistical charge and discharge pattern based on the actual SOC use range and the battery data, with refers to deterioration characteristics of the battery. A display controller causes a display unit to display a display prompting a user to use the battery in the recommended SOC use range.