WO2006005858A1 - Procede de surveillance d'un ou plusieurs parametres physiques et pile a combustible l’utilisant - Google Patents

Procede de surveillance d'un ou plusieurs parametres physiques et pile a combustible l’utilisant Download PDF

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Publication number
WO2006005858A1
WO2006005858A1 PCT/FR2005/050315 FR2005050315W WO2006005858A1 WO 2006005858 A1 WO2006005858 A1 WO 2006005858A1 FR 2005050315 W FR2005050315 W FR 2005050315W WO 2006005858 A1 WO2006005858 A1 WO 2006005858A1
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WO
WIPO (PCT)
Prior art keywords
measurements
measurement
vector
value
dispersion
Prior art date
Application number
PCT/FR2005/050315
Other languages
English (en)
French (fr)
Inventor
Karim Bencherif
Vincent Le Lay
Original Assignee
Renault S.A.S.
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 Renault S.A.S. filed Critical Renault S.A.S.
Priority to JP2007516009A priority Critical patent/JP4912297B2/ja
Publication of WO2006005858A1 publication Critical patent/WO2006005858A1/fr

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Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods

Definitions

  • the invention relates generally to dynamic system control techniques.
  • the invention relates, according to a first aspect, to a method for monitoring at least one basic physical parameter that is at least partially representative of an operation of a physical dynamic system, this method comprising a measurement operation. .
  • the operating state of a fuel cell depends very critically on its internal temperature, that is to say more precisely the temperature of the stack that its cells form, this temperature not being practice not directly measurable.
  • a traditional approach in monitoring and fault diagnosis is to provide a physical redundancy of the measuring and control devices, that is to say to multiply the number of sensors, actuators and computers.
  • the invention aims to propose an approach that, while allowing the identification of possible failures, offers an alternative to the path of a systematic physical redundancy.
  • the method of the invention which moreover complies with the generic definition given in the preamble above, is essentially characterized in that the measurement operation consists in obtaining, by means of a set of m, where m is an integer greater than two, a set of m corresponding measurements respectively representative of m measurable physical parameters related to the first basic physical parameter, and in that this method further comprises an analysis operation consisting in less to develop a dispersion quantity whose value is representative of a dispersion of the m measurements, a control operation of comparing the value of the dispersion quantity with a threshold defined for normal operation of the dynamic system, a diagnostic operation to conclude that an anomaly exists in the event of the threshold being exceeded by the dispersion quantity, and a purification operation consisting at least in identifying and discarding, in the event of an anomaly, that of the m measures which has the greatest contribution to the value of the dispersion quantity.
  • the analysis operation comprises the determination of a residual vector defined as the product of a weighting matrix by a measurement vector having said measurements for components, the matrix a weighting factor having a norm equal to unity, each component of the residue vector being constituted by a corresponding linear combination of said measurements, obtained by weighting these measurements by means of zero average weighting coefficients of the weighting matrix, and said size of dispersion being constituted by the standard of the vector of residues.
  • the analysis operation comprises determining, as a dispersion quantity, a global standard deviation of the set of m measurements with respect to an average value of these measurements. measures.
  • the invention relates to a fuel cell comprising an anode, a cathode and a cooling circuit, this cell being characterized in that it comprises first, second and third temperature sensors respectively delivering first, second and third temperature measurements and respectively disposed on its cathode, on its cooling circuit, and on its anode, this battery comprising in in addition to a data processing circuit adapted to implement, on these first, second and third temperature measurements, a method according to any one of the embodiments mentioned above for estimating an internal temperature of this battery.
  • the invention particularly relates to a method for monitoring one or more basic physical parameters associated with the operation of a physical dynamic system, these parameters reflecting the operation of this system and therefore being able to influence the latter when they are taxed.
  • Such a battery comprises, in a manner known per se, a stack 10 of cells, a cathode 11 fed by an air compression unit 41, an anode 13 supplied with hydrogen by a reformer 43, and a cooling circuit 12.
  • the invention proposes to develop, by means of three sensors referenced 21 to 23, three corresponding measurements Tc, Tr, and Ta respectively representative of the three temperatures ⁇ c, ⁇ r, and ⁇ a respectively taken by the gas supplying the cathode 11, the liquid at the outlet of the cooling circuit 12 and the gas supplying the anode 13.
  • the stack 10 the cathode 11, the cooling circuit 12, and the anode 13 adopt respective temperatures ⁇ 10, ⁇ c, ⁇ r, and ⁇ a which are necessarily related to each other.
  • the battery of the invention comprises a data processing circuit 3 adapted to receive the temperature measurements Tc, Tr, and Ta, and to output a quantity T10 representing an estimate of the internal temperature ⁇ 10 of the battery 1.
  • the magnitude T10 may be constituted by a linear combination, or any other suitable function, of the measurements Tc, Tr, and Ta provided that these measurements have a sufficient degree of reliability.
  • An essential part of the invention is precisely to evaluate this degree of reliability, and to rule out any suspicious measurement among the measurements Tc, Tr, and Ta.
  • the method of the invention in its part implemented in the circuit 3, comprises firstly a analysis operation, consisting in developing a dispersion quantity whose value is representative of the dispersion of the different temperature measurements Tc, Tr, and Ta.
  • the dispersion quantity which will be denoted S in a first embodiment described hereinafter, and ⁇ in a second embodiment also described hereinafter, has a value which is all the greater as the three measurements of temperature Tc, Tr, and Ta are less close to each other.
  • the method of the invention then comprises a control operation, which consists in comparing the value of the dispersion quantity, S or ⁇ , with a corresponding threshold, denoted Sseuii or ⁇ seuii, this threshold being defined for normal operation of the dynamic system. what constitutes the stack 1.
  • the method of the invention then comprises a diagnostic operation, which consists in concluding in an anomaly if the threshold Sseuii or ⁇ seuii is exceeded by the corresponding dispersion quantity, S or ⁇ .
  • the method of the invention comprises a purification operation, which is implemented in the event of an anomaly, and which consists in identifying and discarding that of the measurements Tc, Tr, and Ta which has the greatest contribution to the value of the dispersion quantity S or ⁇ .
  • the circuit 3 modifies its standard algorithm for estimating the temperature ⁇ 10 to no longer take into account the measurement Tc, Tr, or Ta previously discarded.
  • a state variable x dependent on the time t
  • a fault vector f dependent on the time fc (vector unknown, but equal to zero in the absence of failure)
  • a weighting matrix V is further defined such that:
  • the analysis operation comprises the determination of a residue vector r as a function of time t and defined as the product V.y of the weighting matrix V by the measurement vector y.
  • each of the components of the residual vector r here in number 2 is constituted by a corresponding linear combination of measures such as Tc, Tr, Ta, obtained by a weighting of these measurements by means of Zero-weighting coefficients of the weighting matrix V.
  • the dispersion quantity S is constituted by the standard of the residue vector r, namely:
  • the purification operation first comprises the determination, for each measurement, of a scalar residue corresponding to the cathode, cooling, ranode defined as the product, by the residue vector r, of a vector Vj . ⁇ taken from the transposed weighting matrix V ⁇ and relating to this measurement, this operation leading, in this case, to:
  • the purification operation continues by removing the measure which corresponds to the scalar residue whose absolute value is the highest.
  • the analysis operation comprises determining, as a dispersion quantity, a global standard deviation ⁇ of the set of m measurements Tc, Tr, Ta with respect to the average value T of these measurements. -to say :

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Fuel Cell (AREA)
PCT/FR2005/050315 2004-06-21 2005-05-12 Procede de surveillance d'un ou plusieurs parametres physiques et pile a combustible l’utilisant WO2006005858A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2007516009A JP4912297B2 (ja) 2004-06-21 2005-05-12 1または複数の物理パラメータの監視方法及び同監視方法を用いた燃料電池

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR0406710 2004-06-21
FR0406710A FR2871949B1 (fr) 2004-06-21 2004-06-21 Procede de surveillance d'un ou plusieurs parametres physiques et pile a combustible l'utilisant

Publications (1)

Publication Number Publication Date
WO2006005858A1 true WO2006005858A1 (fr) 2006-01-19

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/FR2005/050315 WO2006005858A1 (fr) 2004-06-21 2005-05-12 Procede de surveillance d'un ou plusieurs parametres physiques et pile a combustible l’utilisant

Country Status (3)

Country Link
JP (1) JP4912297B2 (ja)
FR (1) FR2871949B1 (ja)
WO (1) WO2006005858A1 (ja)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10410437B2 (en) 2015-10-26 2019-09-10 Continental Automotive France Method for automatically adapting the conditions for establishing a diagnostic by an on-board diagnostic system

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2522926A (en) * 2014-02-11 2015-08-12 Ge Aviat Systems Ltd Method of identifying anomalies

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4772445A (en) * 1985-12-23 1988-09-20 Electric Power Research Institute System for determining DC drift and noise level using parity-space validation
US5661735A (en) * 1994-12-27 1997-08-26 Litef Gmbh FDIC method for minimizing measuring failures in a measuring system comprising redundant sensors
US20020091499A1 (en) * 2000-03-09 2002-07-11 Wegerich Stephan W. Generalized lensing angular similarity operator
US6594620B1 (en) * 1998-08-17 2003-07-15 Aspen Technology, Inc. Sensor validation apparatus and method
EP1408384A1 (en) * 2002-10-09 2004-04-14 STMicroelectronics S.r.l. An arrangement for controlling operation of a physical system, like for instance fuel cells in electric vehicles
US20040081867A1 (en) * 2002-10-23 2004-04-29 Edlund David J. Distributed fuel cell network

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4772445A (en) * 1985-12-23 1988-09-20 Electric Power Research Institute System for determining DC drift and noise level using parity-space validation
US5661735A (en) * 1994-12-27 1997-08-26 Litef Gmbh FDIC method for minimizing measuring failures in a measuring system comprising redundant sensors
US6594620B1 (en) * 1998-08-17 2003-07-15 Aspen Technology, Inc. Sensor validation apparatus and method
US20020091499A1 (en) * 2000-03-09 2002-07-11 Wegerich Stephan W. Generalized lensing angular similarity operator
EP1408384A1 (en) * 2002-10-09 2004-04-14 STMicroelectronics S.r.l. An arrangement for controlling operation of a physical system, like for instance fuel cells in electric vehicles
US20040081867A1 (en) * 2002-10-23 2004-04-29 Edlund David J. Distributed fuel cell network

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10410437B2 (en) 2015-10-26 2019-09-10 Continental Automotive France Method for automatically adapting the conditions for establishing a diagnostic by an on-board diagnostic system

Also Published As

Publication number Publication date
JP4912297B2 (ja) 2012-04-11
FR2871949B1 (fr) 2006-09-01
JP2008503713A (ja) 2008-02-07
FR2871949A1 (fr) 2005-12-23

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