MX2018004367A - Sistema de ensayo de baterias para predecir los resultados del ensayo de baterias. - Google Patents
Sistema de ensayo de baterias para predecir los resultados del ensayo de baterias.Info
- Publication number
- MX2018004367A MX2018004367A MX2018004367A MX2018004367A MX2018004367A MX 2018004367 A MX2018004367 A MX 2018004367A MX 2018004367 A MX2018004367 A MX 2018004367A MX 2018004367 A MX2018004367 A MX 2018004367A MX 2018004367 A MX2018004367 A MX 2018004367A
- Authority
- MX
- Mexico
- Prior art keywords
- battery test
- battery
- prediction
- predicting
- computer
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/3865—Arrangements for measuring battery or accumulator variables related to manufacture, e.g. testing after manufacture
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Tests Of Electric Status Of Batteries (AREA)
Abstract
Un método de estimación de los resultados del ensayo de baterías incluye utilizar un ordenador de ensayo de baterías para estimar un resultado del ensayo de baterías para una batería en fase de ensayo. El ordenador de ensayo de baterías comprende un medio legible por ordenador tangible, no transitorio, que almacena un sistema de gestión de ensayo de baterías implementado como uno o más conjuntos de instrucciones. El sistema de gestión de ensayo de baterías incluye un módulo de estimación configurado para estimar el resultado del ensayo de baterías utilizando menos de todos los datos necesarios para que el ensayo de la batería se complete, un módulo de validación configurado para validar la estimación y un módulo de pruebas configurado para volver a probar el módulo de estimación en base a los resultados generados por el módulo de validación. El ordenador de ensayo de baterías también incluye circuitos electrónicos de procesamiento configurados para ejecutar el uno o más conjuntos de instrucciones, y emitir, a través de una interfaz de usuario, la estimación del resultado y un nivel de confianza asociado con la estimación.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US14/884,585 US10191116B2 (en) | 2015-10-15 | 2015-10-15 | Battery test system for predicting battery test results |
| PCT/US2016/018462 WO2017065821A1 (en) | 2015-10-15 | 2016-02-18 | Battery test system for predicting battery test results |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MX2018004367A true MX2018004367A (es) | 2018-05-23 |
Family
ID=55642827
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2018004367A MX2018004367A (es) | 2015-10-15 | 2016-02-18 | Sistema de ensayo de baterias para predecir los resultados del ensayo de baterias. |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US10191116B2 (es) |
| EP (1) | EP3362809B1 (es) |
| JP (1) | JP6513881B2 (es) |
| CN (1) | CN108139446B (es) |
| MX (1) | MX2018004367A (es) |
| WO (1) | WO2017065821A1 (es) |
Families Citing this family (30)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US10992156B2 (en) * | 2017-10-17 | 2021-04-27 | The Board Of Trustees Of The Leland Stanford Junior University | Autonomous screening and optimization of battery formation and cycling procedures |
| BR112020007702A2 (pt) * | 2017-10-23 | 2020-10-06 | Cps Technology Holdings Llc | interface de usuário para um testador de bateria |
| EP3781431B1 (en) * | 2018-04-20 | 2023-09-06 | CPS Technology Holdings LLC | System and method for battery selection |
| CN109047040A (zh) * | 2018-06-12 | 2018-12-21 | 东莞市德尔能新能源股份有限公司 | 一种基于大数据的锂电池筛选系统 |
| EP3591414B1 (en) * | 2018-07-03 | 2022-01-19 | Electricité de France | Method for evaluating an electric battery state of health |
| DE112019005149T5 (de) * | 2018-10-15 | 2021-07-01 | Nvidia Corporation | Verbesserte in-system-testabdeckung basierend auf detektieren von komponentendegradation |
| EP3863102B1 (en) * | 2018-11-01 | 2023-07-26 | Guangdong HYNN Technologies Co., Ltd. | Temperature compensation system and method for lithium battery capacity measurement, and storage medium |
| US12001928B1 (en) | 2019-03-29 | 2024-06-04 | Cigna Intellectual Property, Inc. | Systems and methods for artificial-intelligence-assisted prediction generation |
| KR20220073829A (ko) * | 2019-11-07 | 2022-06-03 | 바스프 에스이 | 배터리 성능 예측 |
| CN110850315A (zh) * | 2019-11-29 | 2020-02-28 | 北京邮电大学 | 一种电池荷电状态的估算方法及装置 |
| US20210224691A1 (en) * | 2020-01-17 | 2021-07-22 | Unity IPR ApS | Method and system for generating variable training data for artificial intelligence systems |
| CN111190112B (zh) * | 2020-02-10 | 2020-10-09 | 宜宾职业技术学院 | 一种基于大数据分析的电池充放电预测方法及系统 |
| CN111679202B (zh) * | 2020-07-24 | 2023-04-18 | 广东电网有限责任公司 | 一种蓄电池容量预测方法及其预测装置 |
| CN114089189A (zh) | 2020-07-31 | 2022-02-25 | 财团法人工业技术研究院 | 电池管理系统的测试设备和测试方法 |
| CN112347692B (zh) * | 2020-09-21 | 2024-02-06 | 深圳有电物联科技有限公司 | 不间断电源的电池预测性维护的实现方法、装置和电子装置 |
| US11609273B2 (en) * | 2020-12-14 | 2023-03-21 | Guangzhou Automobile Group Co., Ltd. | Method and system for optimizing BMS model, storage medium and electric vehicle |
| CN112749497B (zh) * | 2020-12-22 | 2022-12-16 | 厦门海辰储能科技股份有限公司 | 一种锂离子电池模组或电池包的膨胀力预测方法 |
| JP2022139620A (ja) | 2021-03-12 | 2022-09-26 | 株式会社東芝 | 電池の診断方法、電池の診断装置、電池の診断システム、電池搭載機器及び電池の診断プログラム |
| CN113391209B (zh) * | 2021-05-26 | 2022-08-26 | 江苏小牛电动科技有限公司 | 电池健康状态的预测方法、装置、系统和电池 |
| KR20230025130A (ko) * | 2021-08-13 | 2023-02-21 | 주식회사 엘지에너지솔루션 | 배터리 관리 장치 및 이를 포함하는 배터리 검사 시스템 |
| US11573271B1 (en) * | 2021-08-25 | 2023-02-07 | Ford Global Technologies, Llc | Battery fault detection |
| EP4404113A1 (en) * | 2021-09-15 | 2024-07-24 | Resonac Corporation | Prediction data display device, prediction data display method, and prediction data display program |
| JP2023043642A (ja) * | 2021-09-16 | 2023-03-29 | キオクシア株式会社 | テスト制御装置、テストシステム、および制御方法 |
| KR20230108799A (ko) * | 2022-01-11 | 2023-07-19 | 주식회사 엘지에너지솔루션 | 이차전지 생산을 위한 비전 검사기 시뮬레이션 장치 및 방법 |
| US12095054B2 (en) | 2022-03-16 | 2024-09-17 | Battelle Energy Alliance, Llc | Electrochemical analytic diagnosis for energy storage device including determining electrode active material utilization |
| CN115291111B (zh) * | 2022-08-03 | 2023-09-29 | 苏州清研精准汽车科技有限公司 | 电池静置时间预测模型的训练方法以及静置时间预测方法 |
| US12009660B1 (en) | 2023-07-11 | 2024-06-11 | T-Mobile Usa, Inc. | Predicting space, power, and cooling capacity of a facility to optimize energy usage |
| CN116662818B (zh) * | 2023-08-01 | 2023-11-03 | 杭州宇谷科技股份有限公司 | 异常换电用户识别方法、系统、设备和可读存储介质 |
| CN116794533B (zh) * | 2023-08-21 | 2023-12-29 | 深圳海辰储能科技有限公司 | 一种电芯容量分档方法和相关产品 |
| CN117554824B (zh) * | 2024-01-05 | 2024-03-22 | 四会永利五金电池有限公司 | 一种锌锰电池的异常数据检测方法 |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20040034612A1 (en) * | 2002-03-22 | 2004-02-19 | Nick Mathewson | Support vector machines for prediction and classification in supply chain management and other applications |
| US7197487B2 (en) | 2005-03-16 | 2007-03-27 | Lg Chem, Ltd. | Apparatus and method for estimating battery state of charge |
| KR100936892B1 (ko) * | 2007-09-13 | 2010-01-14 | 주식회사 엘지화학 | 배터리의 장기 특성 예측 시스템 및 방법 |
| US8855954B1 (en) | 2007-11-30 | 2014-10-07 | Intellectual Assets Llc | System and method for prognosticating capacity life and cycle life of a battery asset |
| US7957921B2 (en) * | 2008-02-19 | 2011-06-07 | GM Global Technology Operations LLC | Model-based estimation of battery hysteresis |
| US8972213B2 (en) | 2008-06-27 | 2015-03-03 | GM Global Technology Operations LLC | Pattern recognition approach to battery diagnosis and prognosis |
| FR2947357B1 (fr) | 2009-06-25 | 2016-01-22 | Electricite De France | Detection de defaut dans un dispositif electrochimique |
| US9625532B2 (en) * | 2011-10-10 | 2017-04-18 | Battelle Energy Alliance, Llc | Method, system, and computer-readable medium for determining performance characteristics of an object undergoing one or more arbitrary aging conditions |
| US9316699B2 (en) * | 2012-04-05 | 2016-04-19 | Samsung Sdi Co., Ltd. | System for predicting lifetime of battery |
| CN103399276B (zh) | 2013-07-25 | 2016-01-20 | 哈尔滨工业大学 | 一种锂离子电池容量估计及剩余循环寿命预测方法 |
| CN103487759A (zh) * | 2013-09-18 | 2014-01-01 | 江苏大学 | 一种混合动力汽车电池soc预测方法 |
| DE102013018405A1 (de) | 2013-11-02 | 2015-05-07 | Daimler Ag | Ermittlung von den Zustand einer Batterie kennzeichnenden Schätzparametern |
| CN103778280B (zh) * | 2014-01-08 | 2016-07-06 | 上海交通大学 | 具有模型主动更新策略的锂离子电池剩余寿命预测方法 |
| US9210662B1 (en) * | 2014-05-29 | 2015-12-08 | Apple Inc. | Adaptive battery life extension |
| CN104182630A (zh) | 2014-08-20 | 2014-12-03 | 国家电网公司 | 基于简化最小二乘支持向量机的蓄电池剩余容量检测方法 |
| KR102343967B1 (ko) * | 2014-12-04 | 2021-12-28 | 삼성전자주식회사 | 배터리의 상태를 추정하는 방법 및 장치 |
| US9557387B2 (en) * | 2015-02-10 | 2017-01-31 | Lenovo Enterprise Solutions (Singapore) Pte. Ltd. | Testing individual cells within multi-cell battery applications |
-
2015
- 2015-10-15 US US14/884,585 patent/US10191116B2/en active Active
-
2016
- 2016-02-18 JP JP2018513371A patent/JP6513881B2/ja active Active
- 2016-02-18 CN CN201680059281.5A patent/CN108139446B/zh active Active
- 2016-02-18 MX MX2018004367A patent/MX2018004367A/es unknown
- 2016-02-18 EP EP16713149.9A patent/EP3362809B1/en active Active
- 2016-02-18 WO PCT/US2016/018462 patent/WO2017065821A1/en active Application Filing
Also Published As
| Publication number | Publication date |
|---|---|
| US10191116B2 (en) | 2019-01-29 |
| JP2018530982A (ja) | 2018-10-18 |
| US20170108551A1 (en) | 2017-04-20 |
| EP3362809B1 (en) | 2022-04-20 |
| JP6513881B2 (ja) | 2019-05-15 |
| CN108139446A (zh) | 2018-06-08 |
| CN108139446B (zh) | 2021-03-02 |
| EP3362809A1 (en) | 2018-08-22 |
| WO2017065821A1 (en) | 2017-04-20 |
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