Adaptive open circuit voltage based soc reset method at the end of charge based on temperature and charging rate
US-11161428-B2 · Nov 2, 2021 · US
Traction battery controller operable to detect battery internal state using battery model based on comprehensive distribution of relaxation times information
US12384273B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12384273-B2 |
| Application number | US-202318121998-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 15, 2023 |
| Priority date | Mar 15, 2023 |
| Publication date | Aug 12, 2025 |
| Grant date | Aug 12, 2025 |
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Abstract
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A traction battery controller of an electrified vehicle controls the traction battery based in part on a value of a non-linear circuit element of a model of the traction battery in which the value of the non-linear circuit element is estimated in part on distribution of relaxation time (DRT) information of measured impedance data of the traction battery.
First claim
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What is claimed is: 1. A method for a vehicle having a traction battery, comprising: managing charging and discharging of the traction battery based in part on a value of a non-linear circuit element of a model of the traction battery in which the value of the non-linear circuit element is estimated based in part on distribution of relaxation time (DRT) information of measured impedance data of the traction battery; and minimizing a curve area of the DRT information to fit the non-linear circuit element to the measured impedance data to estimate the value of the non-linear circuit element according to the DRT information. 2. The method of claim 1 wherein: the non-linear circuit element models a Warburg diffusion of the traction battery. 3. The method of claim 1 wherein: the model of the traction battery is an equivalent circuit model having the non-linear circuit element and one or more linear circuit elements; and the method further comprising managing the charging and the discharging of the traction battery based further in part on a value of each linear circuit element in which the value of each linear circuit element is estimated based in part on the DRT information. 4. The method of claim 1 wherein: the model of the traction battery is an equivalent circuit model having the non-linear circuit element and one or more additional non-linear circuit elements; and the method further comprising managing the charging and the discharging of the traction battery based further in part on a value of each additional non-linear circuit element in which the value of each additional non-linear circuit element is estimated based in part on the DRT information. 5. The method of claim 1 further comprising: detecting, based in part on the estimated value of the non-linear circuit element, a power capability of the traction battery; and controlling a vehicle component according to the power capability of the traction battery. 6. The method of claim 1 further comprising: detecting, based in part on the estimated value of the non-linear circuit element, a state-of-charge (SOC) of the traction battery; and controlling a vehicle component according to the SOC of the traction battery. 7. The method of claim 1 further comprising: detecting, based in part on the estimated value of the non-linear circuit element, a distance-to-empty (DTE) estimation of the vehicle; and controlling a vehicle component according to the DTE estimation of the vehicle. 8. A vehicle comprising: a traction battery; and a controller configured to estimate a value of a non-linear circuit element of a model of the traction battery based in part on distribution of relaxation time (DRT) information of measured impedance data of the traction battery and to manage charging and discharging of the traction battery based in part on the estimated value of the non-linear circuit element; and the controller is further configured to provide a second model of the traction battery that includes only a single circuit element and to fit a derivative of a portion of the measured impedance data to the single circuit element of the second model to estimate the value of the non-linear circuit element according to the DRT information. 9. The vehicle of claim 8 wherein: the controller is further configured to detect, based in part on the estimated value of the non-linear circuit element, a power capability of the traction battery, a state-of-charge (SOC) of the traction battery, and/or a distance-to-empty (DTE) estimation of the vehicle and to control a vehicle component according to the power capability of the traction battery, the SOC of the traction battery, or the DTE estimation of the vehicle. 10. The vehicle of claim 8 wherein: the vehicle is a battery electric vehicle (BEV). 11. A system for a vehicle having a traction battery, comprising: a controller configured to estimate a value of a non-linear circuit element of a model of the traction battery based in part on distribution of relaxation time (DRT) information of measured impedance data of the traction battery and to manage charging and discharging of the traction battery based in part on the estimated value of the non-linear circuit element; and the controller is further configured to use a surrogate linear approximation of the non-linear circuit element to estimate the value of the non-linear circuit element according to the DRT information.
Assignees
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Classifications
Temperature · CPC title
Current · CPC title
by parameter estimation · CPC title
Voltage · CPC title
- B60L58/12Primary
responding to state of charge [SoC] · CPC title
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Frequently asked questions
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- What does patent US12384273B2 cover?
- A traction battery controller of an electrified vehicle controls the traction battery based in part on a value of a non-linear circuit element of a model of the traction battery in which the value of the non-linear circuit element is estimated in part on distribution of relaxation time (DRT) information of measured impedance data of the traction battery.
- Who is the assignee on this patent?
- Ford Global Tech Llc
- What technology area does this patent fall under?
- Primary CPC classification B60L58/12. Mapped technology areas include Operations & Transport.
- When was this patent published?
- Publication date Tue Aug 12 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).