JP2018059910A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2018059910A5 JP2018059910A5 JP2017170333A JP2017170333A JP2018059910A5 JP 2018059910 A5 JP2018059910 A5 JP 2018059910A5 JP 2017170333 A JP2017170333 A JP 2017170333A JP 2017170333 A JP2017170333 A JP 2017170333A JP 2018059910 A5 JP2018059910 A5 JP 2018059910A5
- Authority
- JP
- Japan
- Prior art keywords
- battery
- model
- charge
- estimated
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000006870 function Effects 0.000 claims 18
- 238000000034 method Methods 0.000 claims 15
- 230000000737 periodic effect Effects 0.000 claims 6
- 239000003990 capacitor Substances 0.000 claims 3
- 230000003094 perturbing effect Effects 0.000 claims 3
- 230000006866 deterioration Effects 0.000 claims 2
- 238000005259 measurement Methods 0.000 claims 2
- 230000010363 phase shift Effects 0.000 claims 2
- 230000004044 response Effects 0.000 claims 2
- 238000009877 rendering Methods 0.000 claims 1
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/286,859 | 2016-10-06 | ||
| US15/286,859 US10353008B2 (en) | 2016-10-06 | 2016-10-06 | Hybrid battery state sensor |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2018059910A JP2018059910A (ja) | 2018-04-12 |
| JP2018059910A5 true JP2018059910A5 (enExample) | 2020-07-27 |
| JP6818657B2 JP6818657B2 (ja) | 2021-01-20 |
Family
ID=61828773
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2017170333A Active JP6818657B2 (ja) | 2016-10-06 | 2017-09-05 | 電池の状態を推定するためのシステム及び方法、および、非一時的コンピュータ可読記憶媒体 |
Country Status (2)
| Country | Link |
|---|---|
| US (1) | US10353008B2 (enExample) |
| JP (1) | JP6818657B2 (enExample) |
Families Citing this family (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11462929B2 (en) * | 2016-10-04 | 2022-10-04 | University Of Washington | Systems and methods for direct estimation of battery parameters using only charge/discharge curves |
| US20180292463A1 (en) * | 2017-04-10 | 2018-10-11 | Lear Corporation | Method and system for battery state of charge calculation |
| CN108845273B (zh) * | 2018-08-30 | 2020-11-03 | 北京经纬恒润科技有限公司 | 一种动力电池功率状态估算功能测试方法和装置 |
| US11953558B2 (en) * | 2018-09-17 | 2024-04-09 | Volvo Truck Corporation | Method and system for estimating the state-of-health of a battery |
| CN109799458B (zh) * | 2019-01-14 | 2022-02-25 | 欣旺达电子股份有限公司 | 测试峰值功率的方法、测试装置和计算机可读存储介质 |
| KR102768452B1 (ko) | 2019-04-05 | 2025-02-13 | 주식회사 엘지에너지솔루션 | 배터리 관리 장치 및 방법 |
| CN111948539A (zh) * | 2019-05-17 | 2020-11-17 | 天津科技大学 | 一种基于深度强化学习的卡尔曼滤波锂离子电池soc估计方法 |
| DE102019119736A1 (de) * | 2019-07-22 | 2021-01-28 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | System und Verfahren zur Bestimmung eines Ladezustands einer elektrischen Batterie |
| KR102871577B1 (ko) * | 2019-09-04 | 2025-10-17 | 삼성전자주식회사 | 배터리 충전 장치 및 방법 |
| US11275119B2 (en) | 2019-09-13 | 2022-03-15 | Semiconductor Components Industries, Llc | Methods and system for a battery |
| DE102019126245A1 (de) * | 2019-09-30 | 2021-04-01 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | System und Verfahren zur Bestimmung des Funktionszustandes und/oder Gesundheitszustandes einer elektrischen Batterie |
| KR102871419B1 (ko) * | 2019-10-22 | 2025-10-15 | 삼성전자주식회사 | 배터리 상태 추정 방법 및 장치 |
| WO2022069699A1 (en) * | 2020-10-02 | 2022-04-07 | Univerza V Ljubljani | A computer-implemented method and data processing system for modelling and/or simulating and/or emulating a battery |
| CN115179812A (zh) * | 2021-03-18 | 2022-10-14 | 华为数字能源技术有限公司 | 基于云端协同的电池管理系统、车及电池管理方法 |
| JP7705308B2 (ja) * | 2021-08-31 | 2025-07-09 | 株式会社Subaru | 車両 |
| CN115877212B (zh) * | 2021-09-28 | 2024-09-10 | 比亚迪股份有限公司 | 电池模型参数优化方法、装置、介质及电子设备 |
| CN114935723A (zh) * | 2021-10-20 | 2022-08-23 | 山东毅聪新能源有限公司 | 一种锂离子电池等效电路模型参数的自适应跟踪方法 |
| CN115993549A (zh) * | 2021-11-17 | 2023-04-21 | 江苏天合储能有限公司 | 一种储能电池管理系统的修正方法、装置、系统及介质 |
| US11527786B1 (en) * | 2022-03-28 | 2022-12-13 | Eatron Technologies Ltd. | Systems and methods for predicting remaining useful life in batteries and assets |
| US20230400846A1 (en) * | 2022-06-14 | 2023-12-14 | Novity, Inc. | Hybrid reasoning based on physics and machine learning for prognostics of systems with conflated degradation modes |
| US20240104269A1 (en) * | 2022-09-16 | 2024-03-28 | Palo Alto Research Center Incorporated | Transferable hybrid prognostics based on fundamental degradation modes |
| US20240210934A1 (en) * | 2022-12-21 | 2024-06-27 | Palo Alto Research Center Incorporated | Remaining useful life estimation using hybrid physics-machine learning reasoning |
| CN117087497B (zh) * | 2023-08-17 | 2024-03-08 | 广州巨湾技研有限公司 | 动力电池系统的功率控制方法、动力电池系统及存储介质 |
| WO2025164671A1 (ja) * | 2024-01-31 | 2025-08-07 | 旭化成株式会社 | 蓄電池の評価結果等を予測する装置、システム、方法及びプログラム |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8890480B2 (en) * | 2006-11-30 | 2014-11-18 | The Boeing Company | Health management of rechargeable batteries |
| JP5141767B2 (ja) * | 2008-08-05 | 2013-02-13 | 富士通株式会社 | サンプルの帰属クラス予測方法、帰属クラス予測プログラムおよび帰属クラス予測装置 |
| EP2323081A1 (en) * | 2008-08-05 | 2011-05-18 | Fujitsu Limited | Method of creating estimation model by means of multiple regression analysis, creation system and creation program |
| JP2015230193A (ja) * | 2014-06-04 | 2015-12-21 | ソニー株式会社 | 劣化状態推定装置、充電状態推定装置、ocvカーブ算出生成装置および蓄電装置 |
| US10288691B2 (en) * | 2014-06-05 | 2019-05-14 | Ford Global Technologies, Llc | Method and system for estimating battery model parameters to update battery models used for controls |
| CN104198941A (zh) * | 2014-07-09 | 2014-12-10 | 联发科技(新加坡)私人有限公司 | 一种电池电量测量方法和装置 |
| US9843069B2 (en) * | 2014-09-26 | 2017-12-12 | Ford Global Technologies, Llc | Battery capacity degradation resolution methods and systems |
-
2016
- 2016-10-06 US US15/286,859 patent/US10353008B2/en active Active
-
2017
- 2017-09-05 JP JP2017170333A patent/JP6818657B2/ja active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2018059910A5 (enExample) | ||
| JP6555773B2 (ja) | 蓄電残量推定装置、蓄電池の蓄電残量を推定する方法、及びコンピュータプログラム | |
| KR101866073B1 (ko) | 배터리 soh 추정 방법 | |
| Bruen et al. | Modelling and experimental evaluation of parallel connected lithium ion cells for an electric vehicle battery system | |
| CN103472403B (zh) | 一种基于pngv等效电路模型的动力电池soc复合估计方法 | |
| US9316697B2 (en) | Management system and estimating method for battery parameter | |
| JP6441913B2 (ja) | バッテリに蓄積された電荷のモニタリング | |
| CN105334462B (zh) | 电池容量损失在线估算方法 | |
| JP6947937B2 (ja) | 電池状態推定装置、電池制御装置 | |
| JP6450565B2 (ja) | バッテリのパラメータ推定装置 | |
| JP5319854B1 (ja) | パラメータ推定装置 | |
| JP2016090330A (ja) | バッテリのパラメータ推定装置 | |
| CN106104907B (zh) | 二次电池内部温度推定装置以及二次电池内部温度推定方法 | |
| US20150219726A1 (en) | Systems and methods for battery state estimation | |
| CN104422893B (zh) | 基于电池控制的模型中的参数和状态限制 | |
| JP2015081800A (ja) | バッテリのパラメータ推定装置及びパラメータ推定方法 | |
| JP2016085166A (ja) | 蓄電池評価装置及び方法 | |
| WO2016088895A1 (ja) | 二次電池状態検出装置および二次電池状態検出方法 | |
| JP2017501396A (ja) | 自動車両バッテリとアースの間の絶縁抵抗の推定法 | |
| JP5163542B2 (ja) | 二次電池の入出力可能電力推定装置 | |
| JP6455914B2 (ja) | 蓄電残量推定装置、蓄電池の蓄電残量を推定する方法、及びコンピュータプログラム | |
| CN107167741A (zh) | 一种基于神经网络的锂电池soc观测方法 | |
| JP2016065831A (ja) | 電池温度推定方法及び電池温度推定装置 | |
| CN106646240A (zh) | 锂电池最大放电功率的估算方法 | |
| KR101759532B1 (ko) | 배터리의 내부 임피던스를 추정하는 방법 |