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TW201144841A - Fuel cell faulty predicting system and its establishing method - Google Patents

Fuel cell faulty predicting system and its establishing method

Info

Publication number
TW201144841A
TW201144841A TW099118209A TW99118209A TW201144841A TW 201144841 A TW201144841 A TW 201144841A TW 099118209 A TW099118209 A TW 099118209A TW 99118209 A TW99118209 A TW 99118209A TW 201144841 A TW201144841 A TW 201144841A
Authority
TW
Taiwan
Prior art keywords
predicting
fuel cell
neural network
faulty
characteristic values
Prior art date
Application number
TW099118209A
Other languages
Chinese (zh)
Other versions
TWI395965B (en
Inventor
meng-hui Wang
Han-Hsueh Tsai
Original Assignee
Nat Univ Chin Yi Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nat Univ Chin Yi Technology filed Critical Nat Univ Chin Yi Technology
Priority to TW099118209A priority Critical patent/TWI395965B/en
Publication of TW201144841A publication Critical patent/TW201144841A/en
Application granted granted Critical
Publication of TWI395965B publication Critical patent/TWI395965B/en

Links

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/30—Hydrogen technology
    • Y02E60/50—Fuel cells

Landscapes

  • Fuel Cell (AREA)

Abstract

The disclosure relates to a fuel cell faulty predicting system which including many sensors, a digital signal processor (DSP), a grey-predicting module, an extension neural network module and a displayer. The sensors are applied to sense many state signals of a fuel cell system. The DSP is applied to generate a set of characteristic values based on the state signals. The grey- predicting module is applied to generate a set of predicting values based on the characteristic values. The extension neural network module is trained by many matter-element modules. The extension neural network module generates a predicted faulty condition based on the characteristic values. The displayer is applied to show out the sensing data and the predicting faulty condition.
TW099118209A 2010-06-04 2010-06-04 Fuel cell faulty predicting system and its establishing method TWI395965B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
TW099118209A TWI395965B (en) 2010-06-04 2010-06-04 Fuel cell faulty predicting system and its establishing method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW099118209A TWI395965B (en) 2010-06-04 2010-06-04 Fuel cell faulty predicting system and its establishing method

Publications (2)

Publication Number Publication Date
TW201144841A true TW201144841A (en) 2011-12-16
TWI395965B TWI395965B (en) 2013-05-11

Family

ID=46765736

Family Applications (1)

Application Number Title Priority Date Filing Date
TW099118209A TWI395965B (en) 2010-06-04 2010-06-04 Fuel cell faulty predicting system and its establishing method

Country Status (1)

Country Link
TW (1) TWI395965B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102967831A (en) * 2012-09-17 2013-03-13 常州大学 On-line detection system and detection method of lead-acid storage battery performance
TWI580153B (en) * 2012-11-13 2017-04-21 Battery monitoring system
CN110112442A (en) * 2018-02-01 2019-08-09 郑州宇通客车股份有限公司 A kind of fuel cell system control method and device
CN112710956A (en) * 2020-12-17 2021-04-27 四川虹微技术有限公司 Battery management system fault detection system and method based on expert system
CN112816898A (en) * 2021-01-26 2021-05-18 三一重工股份有限公司 Battery failure prediction method and device, electronic equipment and storage medium
TWI757161B (en) * 2021-04-23 2022-03-01 國立中山大學 Method for estimating state of health of battery
AT524724A1 (en) * 2021-02-08 2022-08-15 Avl List Gmbh Test procedure for virtual testing of a fuel cell
TWI866392B (en) * 2023-08-15 2024-12-11 台達電子工業股份有限公司 Anomaly detection method for energy storage system, power control system, and temperature prediction device

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106797039B (en) 2014-02-19 2019-12-10 百拉得动力系统公司 Quantification of H2 permeation in situ during PEM cell operation using neural network and EIS signal analysis

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2550072C (en) * 2003-12-18 2011-04-19 Lg Chem, Ltd. Apparatus and method for estimating state of charge of battery using neural network
TWI287313B (en) * 2004-11-29 2007-09-21 Lg Chemical Ltd Method and system for battery state and parameter estimation
TWI279960B (en) * 2005-01-20 2007-04-21 Nat Huwei Institue Of Technolo Variable frequency pulse charge device and method thereof
TW200711209A (en) * 2005-09-15 2007-03-16 Nat Huwei Inst Technology Method of measuring optimal work frequency of battery and device thereof
TWI353076B (en) * 2007-11-22 2011-11-21 Nat Univ Chin Yi Technology Method for estimating residual capacity of lead-ac

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102967831A (en) * 2012-09-17 2013-03-13 常州大学 On-line detection system and detection method of lead-acid storage battery performance
CN102967831B (en) * 2012-09-17 2015-04-22 常州大学 On-line detection system and detection method of lead-acid storage battery performance
TWI580153B (en) * 2012-11-13 2017-04-21 Battery monitoring system
CN110112442A (en) * 2018-02-01 2019-08-09 郑州宇通客车股份有限公司 A kind of fuel cell system control method and device
CN110112442B (en) * 2018-02-01 2021-03-26 郑州宇通客车股份有限公司 Fuel cell system control method and device
CN112710956A (en) * 2020-12-17 2021-04-27 四川虹微技术有限公司 Battery management system fault detection system and method based on expert system
CN112710956B (en) * 2020-12-17 2023-08-04 四川虹微技术有限公司 A battery management system fault detection system and method based on expert system
CN112816898A (en) * 2021-01-26 2021-05-18 三一重工股份有限公司 Battery failure prediction method and device, electronic equipment and storage medium
CN112816898B (en) * 2021-01-26 2022-03-01 三一重工股份有限公司 Battery failure prediction method and device, electronic equipment and storage medium
AT524724A1 (en) * 2021-02-08 2022-08-15 Avl List Gmbh Test procedure for virtual testing of a fuel cell
TWI757161B (en) * 2021-04-23 2022-03-01 國立中山大學 Method for estimating state of health of battery
TWI866392B (en) * 2023-08-15 2024-12-11 台達電子工業股份有限公司 Anomaly detection method for energy storage system, power control system, and temperature prediction device

Also Published As

Publication number Publication date
TWI395965B (en) 2013-05-11

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