Fuel cell system and method of controlling the same

Patent metadata

Field	Value
Publication number	US-10991964-B2
Application number	US-201615382928-A
Country	US
Kind code	B2
Filing date	Dec 19, 2016
Priority date	Jun 17, 2016
Publication date	Apr 27, 2021
Grant date	Apr 27, 2021

Abstract

A fuel cell system having a fuel cell control module (FCU) and a method of controlling the same are provided. The method includes selecting one of at least one control parameter and learning system efficiency at each of at least one configurable candidate value of the selected control parameter based on supplied current by driving the fuel cell system. Additionally, the method includes determining a value of the selected control parameter by comparing the system efficiency at each of the at least one configurable candidate value of the selected control parameter with system efficiency corresponding to an initial performance index, at each of at least one predetermined representative current point. Thereby, efficiency of the fuel cell system is improved.

First claim

What is claimed is:

1. A method of controlling a fuel cell system, comprising:
selecting, by a controller, a first control parameter;
learning, by the controller, system efficiency at each of at least one configurable candidate value of the first selected control parameter based on supplied current by driving the fuel cell system; and
determining, by the controller, a value of the first selected control parameter by comparing the system efficiency at each of the at least one configurable candidate value of the selected control parameter with system efficiency corresponding to an initial performance index, at each of at least one predetermined representative current point,
wherein the determination of the value of the first selected control parameter further includes calculating, by the controller, a base of life (BOL) efficiency difference at each of the at least one predetermined current point.

2. The method according to claim 1 , wherein the learning of system efficiency includes:
preventing, by the controller, the number of sampling data of the selected parameter from exceeding the maximum number of sampling data; and
calculating, by the controller, system efficiencies at candidate values of the at least one predetermined representative current point including each of the sampling data when each of the sampling data is included in the at least one predetermined representative current point.

3. The method according to claim 2 , wherein the learning of system efficiency further includes:
adding, by the controller, the calculated system efficiencies at the candidate values of the at least one predetermined representative current point to the gross system efficiency of the least one predetermined representative current point; and
increasing, by the controller, the number of the at least one predetermined representative current point by one.

4. The method according to claim 3 , wherein the determination of the value of the first selected control parameter includes:
calculating, by the controller, average efficiency at each of the at least one predetermined representative current point based on the equation below,
η in _avg=Sum_η in/Nin,

wherein ηin_avg indicates average efficiency at a representative current point n, Sum_ηin indicates the gross system efficiency, Nin indicates the number of the at least one predetermined representative current point, and n=(1, 2, 3, . . . ).

5. The method according to claim 4 , wherein the calculation of the base of life (BOL) efficiency difference is carried out based on the equation below,
Δη in=ηBOL _ in−ηin _avg,

wherein Δηin indicates system efficiency at each of the candidate values of the representative current point n, ηBOL_in indicates initial performance efficiency at the representative current point n, Δηin indicates the BOL efficiency difference, and n=(1, 2, 3, . . . ).

6. The method according to claim 5 , wherein the determination of the value of the first selected control parameter further includes:
calculating, by the controller, a gross average efficiency difference based on the equation below,
Δη t=Δηi 1+Δη i 2+Δη iNt

Δη t _avg=Δη t/Nt,

wherein Nt indicates the number of representative current points, Δηt indicates a gross efficiency difference, and Δηt_avg indicates the gross average efficiency difference.

7. The method according to claim 6 , further comprising:
storing, by the controller, the first selected control parameter in which the gross average efficiency difference becomes the maximum.

8. The method according to claim 7 , further comprising:
selecting, by the controller, a second control parameter different from the first selected control parameter.

9. The method according to claim 5 , wherein the determination of the value of the first selected control parameter further includes:
calculating, by the controller, a weighting factor at each of the at least one predetermined representative current point based on a stack current usage pattern; and
calculating, by the controller, a gross average efficiency difference based on Equation 6 below,
Δη t=Ai 1*Δη i 2+ . . . + AiNt*ΔηiNt

Δ nt _avg=Δ nt/Nt,

wherein Ain indicates a weighting factor at the representative current point n.

10. The method according to claim 9 , further comprising:
storing, by the controller, the first selected control parameter in which the gross average efficiency difference becomes the maximum;
selecting, by the controller, a second control parameter different from the first selected control parameter; and
storing the second selected control parameter in which the gross average efficiency difference becomes the maximum.

11. The method according to claim 2 , wherein the maximum number of sampling data is set in consideration of performance of the fuel cell system.

12. The method according to claim 1 , wherein, in the selection of the first control parameter, the first control parameter is selected based on priority influencing the fuel cell system or is selected based on user setup.

13. The method according to claim 1 , wherein, in the learning of system efficiency, the at least one configurable candidate value of the first selected control parameter differs from an initial performance value of the first selected control parameter by a designated value.

14. The method according to claim 1 , wherein the at least one predetermined representative current point is selected with a difference of a predetermined current value or is selected by user input.

15. The method according to claim 1 , wherein the first control parameter includes at least one selected from the group consisting of: a temperature, pressure and relative humidity of a fuel cell stack, a hydrogen or oxygen concentration and an amount of cooling water in the fuel cell stack, a driving time of a motor, and a driving intensity of the motor.

16. A fuel cell system comprising a fuel cell control module (FCU), wherein the FCU is configured to:
select a first control parameter and learn system efficiency at each of at least one configurable candidate value of the first selected control parameter based on supplied current by driving the fuel cell system; and
determine a value of the first selected control parameter by comparing the system efficiency at each of the at least one configurable candidate value of the first selected control parameter with system efficiency that corresponds to an initial performance index, at each of at least one predetermined representative current point,
wherein the FCU is configured to calculate a base of life (BOL) efficiency difference at each of the least one predetermined representative current point for determining the value of the first selected control parameter.

17. The fuel cell system according to claim 16 , wherein the FCU is further configured to:
calculate system efficiencies at candidate values of the at least one predetermined representative current point including each of the sampling data when each of the sampling data is included in the at least one predetermined representative current point; and
add the calculated system efficiencies at the candidate values of the at least one predetermined representative current point to the gross system efficiency of the least one predetermined representative current point, and increase the number of the at least one predetermined representative current point by one.

18. The fuel cell system according to claim 17 , wherein the FCU is configured to calculate average efficiency at each of the at least one predetermined r

Assignees

• Hyundai Motor Co Ltd

Inventors

• Ryu Jung Hwan
• Jeon Soon Il

Classifications

• H01M8/04768

  of the coolant · CPC title

• H01M8/04731

  of other components of a fuel cell or fuel cell stacks · CPC title

• H01M8/04895 Primary

  Current · CPC title

• H01M8/04082

  Arrangements for control of reactant parameters, e.g. pressure or concentration · CPC title

• H01M8/04089

  of gaseous reactants · CPC title