Device and method for estimating secondary cell status
US-2015046108-A1 · Feb 12, 2015 · US
Data driven/physical hybrid model for soc determination in lithium batteries
US2015081237A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2015081237-A1 |
| Application number | US-201314032160-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 19, 2013 |
| Priority date | Sep 19, 2013 |
| Publication date | Mar 19, 2015 |
| Grant date | — |
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Abstract
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A hybrid model to determine state-of-charge for lithium batteries includes both a physical model and an empirical or data-driven model. The physical model is an electrochemical model, based on the battery materials properties and structure and describes dynamic electrochemical reactions. The empirical model uses coulomb counting and a relaxation filter, plus a Kalman filter for adaptive compensation of the system parameters. In some SOC regimes, one model is strongly favored over the other. In some SOC regions, a weighted combination of the two models is used.
First claim
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We claim: 1 . A method of determining state of charge (SOC) for a rechargeable battery cell at various times t n throughout the discharge portion the cell's cycle comprising the steps of: a) fully charging a battery cell comprising lithium metal as an anode, lithium iron phosphate as a cathode, and a polymer electrolyte as a separator so that SOC is 100%; b) discharging the cell over a period of time t x while also recording in a memory location voltage(t n ), temperature(t…
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- G01R31/3651Primary
Physics · mapped topic
Operations & Transport · mapped topic
Operations & Transport · mapped topic
Physics · mapped topic
Cross-Sectional Technologies · mapped topic
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- What does patent US2015081237A1 cover?
- A hybrid model to determine state-of-charge for lithium batteries includes both a physical model and an empirical or data-driven model. The physical model is an electrochemical model, based on the battery materials properties and structure and describes dynamic electrochemical reactions. The empirical model uses coulomb counting and a relaxation filter, plus a Kalman filter for adaptive compens…
- Who is the assignee on this patent?
- Seeo Inc
- What technology area does this patent fall under?
- Primary CPC classification G01R31/3651. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Mar 19 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).