18121171. HISTORY-AGNOSTIC BATTERY DEGRADATION INFERENCE simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)
Contents
HISTORY-AGNOSTIC BATTERY DEGRADATION INFERENCE
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Mehrad Ansari of Rochester NY (US)
Shijing Sun of Mountain View CA (US)
Steven BJ Torrisi of Berkeley CA (US)
Amalie E. Trewartha of San Francisco CA (US)
HISTORY-AGNOSTIC BATTERY DEGRADATION INFERENCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18121171 titled 'HISTORY-AGNOSTIC BATTERY DEGRADATION INFERENCE
The abstract of this patent application describes an improved method for determining the state of health of a battery that is history agnostic.
- Acquiring a snippet of information about a battery
- Predicting attributes of a discharge capacity curve using a degradation model
- Generating a score to assess the state of health of the battery
- Providing an indicator based on the score meeting a threshold
Potential Applications: - Battery management systems - Electric vehicles - Renewable energy storage systems
Problems Solved: - Accurately assessing the state of health of a battery without relying on historical data - Predicting future battery performance based on current information
Benefits: - Improved battery maintenance and longevity - Enhanced performance of battery-powered devices - Cost savings through optimized battery usage
Commercial Applications: Battery manufacturers, electric vehicle companies, renewable energy companies
Questions about Battery State of Health: 1. How does this method differ from traditional battery health assessment techniques?
- This method does not rely on historical data, providing a more accurate and real-time assessment of battery health.
2. What impact could this technology have on the electric vehicle industry?
- This technology could lead to longer-lasting batteries in electric vehicles, reducing maintenance costs and improving overall performance.
Original Abstract Submitted
Systems, methods, and other embodiments described herein relate to an improved approach to determining battery state of health that is history agnostic. In one embodiment, a method includes acquiring a snippet of information about a battery. The method includes predicting, using a degradation model, attributes of a discharge capacity curve of the battery for successive future windows of time. The method includes generating a score according to the attributes to assess a state of health (SoH) of the battery. The method includes providing an indicator about the SoH of the battery when the score satisfies a threshold.
