FI20116256A - Menetelmä ja järjestely kiinteän oksidin kennon toimintaolosuhteiden ilmaisemiseksi - Google Patents

Menetelmä ja järjestely kiinteän oksidin kennon toimintaolosuhteiden ilmaisemiseksi Download PDF

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Publication number
FI20116256A
FI20116256A FI20116256A FI20116256A FI20116256A FI 20116256 A FI20116256 A FI 20116256A FI 20116256 A FI20116256 A FI 20116256A FI 20116256 A FI20116256 A FI 20116256A FI 20116256 A FI20116256 A FI 20116256A
Authority
FI
Finland
Prior art keywords
value
stacks
solid oxide
stack
temperature value
Prior art date
Application number
FI20116256A
Other languages
English (en)
Swedish (sv)
Inventor
Tero Hottinen
Topi Korhonen
Original Assignee
Waertsilae Finland Oy
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 Waertsilae Finland Oy filed Critical Waertsilae Finland Oy
Priority to FI20116256A priority Critical patent/FI20116256A/fi
Priority to PCT/FI2012/051184 priority patent/WO2013083872A1/en
Publication of FI20116256A publication Critical patent/FI20116256A/fi

Links

Classifications

    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
    • H01M8/04664—Failure or abnormal function
    • H01M8/04679—Failure or abnormal function of fuel cell stacks
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04992—Processes for controlling fuel cells or fuel cell systems characterised by the implementation of mathematical or computational algorithms, e.g. feedback control loops, fuzzy logic, neural networks or artificial intelligence
    • 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
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • 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]
    • G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
    • 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]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/10—Fuel cells with solid electrolytes
    • H01M8/12—Fuel cells with solid electrolytes operating at high temperature, e.g. with stabilised ZrO2 electrolyte
    • H01M2008/1293—Fuel cells with solid oxide electrolytes
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
    • H01M8/04664—Failure or abnormal function
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/06—Combination of fuel cells with means for production of reactants or for treatment of residues
    • H01M8/0606—Combination of fuel cells with means for production of reactants or for treatment of residues with means for production of gaseous reactants
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/24—Grouping of fuel cells, e.g. stacking of fuel cells
    • H01M8/249—Grouping of fuel cells, e.g. stacking of fuel cells comprising two or more groupings of fuel cells, e.g. modular assemblies
    • 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

  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • Sustainable Development (AREA)
  • General Chemical & Material Sciences (AREA)
  • Electrochemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Chemical & Material Sciences (AREA)
  • Sustainable Energy (AREA)
  • Manufacturing & Machinery (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Fuzzy Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Fuel Cell (AREA)
FI20116256A 2011-12-09 2011-12-09 Menetelmä ja järjestely kiinteän oksidin kennon toimintaolosuhteiden ilmaisemiseksi FI20116256A (fi)

Priority Applications (2)

Application Number Priority Date Filing Date Title
FI20116256A FI20116256A (fi) 2011-12-09 2011-12-09 Menetelmä ja järjestely kiinteän oksidin kennon toimintaolosuhteiden ilmaisemiseksi
PCT/FI2012/051184 WO2013083872A1 (en) 2011-12-09 2012-11-29 Method and arrangement for indicating solid oxide cell operating conditions

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
FI20116256A FI20116256A (fi) 2011-12-09 2011-12-09 Menetelmä ja järjestely kiinteän oksidin kennon toimintaolosuhteiden ilmaisemiseksi

Publications (1)

Publication Number Publication Date
FI20116256A true FI20116256A (fi) 2013-06-10

Family

ID=47603809

Family Applications (1)

Application Number Title Priority Date Filing Date
FI20116256A FI20116256A (fi) 2011-12-09 2011-12-09 Menetelmä ja järjestely kiinteän oksidin kennon toimintaolosuhteiden ilmaisemiseksi

Country Status (2)

Country Link
FI (1) FI20116256A (fi)
WO (1) WO2013083872A1 (fi)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015127133A1 (en) * 2014-02-19 2015-08-27 Ballard Material Products, Inc. Use of neural network and eis signal analysis to quantify h2 crossover in-situ in operating pem cells
CN107329056A (zh) * 2017-07-10 2017-11-07 国网浙江省电力公司宁波供电公司 用于配电线路自然接地体冲击特性的试验方法
CN109994760B (zh) * 2018-01-03 2022-06-28 通用电气公司 用于燃料电池系统的温度控制系统和方法及燃料电池系统
CN110065393B (zh) * 2018-01-23 2022-07-19 联合汽车电子有限公司 故障监控系统、故障监控方法和交通工具
CN111916791B (zh) * 2020-07-31 2021-10-01 上海捷氢科技有限公司 一种多工况多样本燃料电池电堆测试系统及其控制方法
DE102020128268A1 (de) 2020-10-28 2022-04-28 Audi Aktiengesellschaft Verfahren zum Betreiben eines Brennstoffzellenstapels
AT524724A1 (de) * 2021-02-08 2022-08-15 Avl List Gmbh Testverfahren für ein virtuelles Testen einer Brennstoffzelle
CN114626195B (zh) * 2022-01-18 2024-05-03 南昌大学 一种利用时空数据进行固体氧化物燃料电池系统的建模方法及系统
CN114784324B (zh) * 2022-04-21 2023-12-22 中汽创智科技有限公司 一种燃料电池系统控制方法、装置、电子设备及储存介质
CN114744254A (zh) * 2022-04-28 2022-07-12 武汉雄韬氢雄燃料电池科技有限公司 氢气循环泵在燃料电池系统中的建模方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19624301B4 (de) * 1996-06-18 2006-08-17 Siemens Ag Lernverfahren für ein neuronales Netz
US8518594B2 (en) * 1999-11-24 2013-08-27 Encite, Llc Power cell and power chip architecture
EP1408384B1 (en) * 2002-10-09 2006-05-17 STMicroelectronics S.r.l. An arrangement for controlling operation of a physical system, like for instance fuel cells in electric vehicles
US7136779B2 (en) * 2004-05-28 2006-11-14 Daimlerchrysler Ag Method for simplified real-time diagnoses using adaptive modeling

Also Published As

Publication number Publication date
WO2013083872A1 (en) 2013-06-13

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