# US 11,309,560 B2 · Method of predicting life of membrane electrode assembly of fuel cell for electric power generation

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- Number: US 11,309,560 B2
- Document ID: US11309560B2
- Status: Granted
- Kind: B2
- Application number: 16/824,898
- Filed: 2020-03-20
- Published: 2021-01-14
- Granted: 2022-04-19
- Earliest claimed: 2019-07-10
- Assignees: Hyundai Motor Company; Kia Motors Corporation; Korea Institute of Science and Technology
- Applicants: Hyundai Motor Company; Kia Motors Corporation; Korea Institute of Science and Technology
- Inventors: Hyun Bae Dong; Min Kyung Cho; Won Jung Kim; Ju Hae Jung; Jong Hyun Jang; Hyun Seo Park; Myung Su Lim; Jun Young Kim
- Web page: https://patentgrep.com/patent/US11309560B2

## CPC

- H01M 8/04552: {of the individual fuel cell}
- H01M 8/04671: {of the individual fuel cell}
- G01R 31/367: Software therefor, e.g. for battery testing using modelling or look-up tables
- G01R 31/392: Determining battery ageing or deterioration, e.g. state of health
- H01M 8/04582: {of the individual fuel cell}
- H01M 8/04641: {of the individual fuel cell}
- H01M 8/1004: characterised by membrane-electrode assemblies [MEA] (H01M8/12 takes precedence)
- H01M 2008/1095: {Fuel cells with polymeric electrolytes}
- Y02E 60/50: Fuel cells
- H01M: PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12)
- Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION

## Abstract

A method of predicting a life of a membrane electrode assembly (MEA) of a fuel cell for electric power generation includes: deriving an operating condition for accelerated degradation, which is applicable to the fuel cell; operating the fuel cell for a specific time under the derived operating condition for accelerated degradation and under a normal operating condition, and identifying the degree of degradation of the fuel cell under each of the operating conditions; calculating an acceleration multiple based on the degree of degradation identified under the operating condition for accelerated degradation and under the normal operating condition; and predicting the life of the membrane electrode assembly based on the acceleration multiple.

## Claims

### Claim 1

A method of predicting a life of a membrane electrode assembly (MEA) of a fuel cell for electric power generation, the method comprising:
deriving an operating condition for accelerated degradation, which is applicable to the fuel cell;
operating the fuel cell for a specific time under the derived operating condition for accelerated degradation and under a normal operating condition, and then identifying a degree of degradation of the fuel cell and a tendency for the degree of degradation thereof under each of the operating conditions;
calculating an acceleration multiple based on the degree of degradation identified under the derived operating condition for accelerated degradation and under the normal operating condition; and
predicting the life of the membrane electrode assembly based on the acceleration multiple.

### Claim 2 (depends on 1)

The method according to claim 1, wherein the deriving an operating condition for accelerated degradation includes:
applying a specific electric current to the fuel cell, but repeatedly operating the fuel cell at a specific time interval while changing relative-humidity conditions of an anode and a cathode of the fuel cell and a temperature condition of the fuel cell, and identifying the degree of degradation and the tendency for the degree of degradation under each of the relative-humidity and temperature conditions;
checking whether or not the identified degree of degradation under each of the relative-humidity and temperature conditions falls within a predetermined range of degrees of degradation, and comparing the identified tendency of the degree of degradation with a tendency for the degree of degradation which is identified after operating the fuel cell under a normal operating condition; and
selecting a condition under which the identified degree of degradation under each of the relative-humidity and temperature conditions falls within the predetermined range of the degrees of degradation and under which the tendency of the degree of degradation is the same as the tendency for the degree of degradation identified under the normal operating condition.

### Claim 3 (depends on 2)

The method according to claim 2, wherein the degree of degradation and the tendency for the degree of degradation indicate which one of components of the fuel cell including a catalyst, a membrane, and a gas diffusion layer (GDL) is degraded most.

### Claim 4 (depends on 1)

The method according to claim 1, wherein, in the operating the fuel cell for a specific time under the derived operating condition for accelerated degradation and under a normal operating condition, and then the identifying of a degree of degradation of the fuel cell and a tendency for the degree of degradation thereof under each of the operating conditions, the degree of degradation and the tendency of the degree of degradation are identified based on at least one of an open circuit voltage (OCV) analysis, a voltage density analysis, an electric current density analysis, an Ohmic analysis, a crossover analysis, or an electrochemical surface area (ECSA) analysis.

### Claim 5 (depends on 1)

The method according to claim 1, wherein the calculating an acceleration multiple based on the degree of degradation identified under the derived operating condition for accelerated degradation and under the normal operating condition includes:
calculating an accelerated-degradation speed under the derived operating condition for accelerated degradation, based on the identified degree of degradation under the derived operating condition for accelerated degradation;
calculating a normal degradation speed under the normal operating condition, based on the identified degree of degradation under the normal operating condition; and
calculating the acceleration multiple by dividing the accelerated-degradation speed by the normal degradation speed.

### Claim 6 (depends on 5)

The method according to claim 5, wherein the accelerated-degradation speed and the normal degradation speed indicate a slope of a graph that is obtained by matching a voltage value on a time basis with the same electric current density as a reference after operating the fuel cell on a time basis under the normal operating condition and under the derived operating condition for accelerated degradation.

### Claim 7 (depends on 1)

The method according to claim 1, wherein the acceleration multiple indicates how many more times the fuel cell is degraded when operated under the derived operating condition for accelerated degradation than when operated under the normal operating condition.

### Claim 8 (depends on 1)

The method according to claim 1, wherein the predicting the life of the membrane electrode assembly based on the acceleration multiple includes:
deriving the time it takes for performance of the fuel cell to be decreased by a predetermined percentage from initial performance when operating the fuel cell under the derived operating condition for accelerated degradation; and
predicting the life of the membrane assembly by multiplying the derived time and the acceleration multiple.

### Claim 9 (depends on 1)

The method according to claim 1, further comprising:
deriving an optimal condition for an electric current that is to be applied to the fuel cell such that the fuel cell has optimal durability, based on the derived operating condition for accelerated degradation applicable to the fuel cell.

### Claim 10 (depends on 9)

The method according to claim 9, wherein the deriving an optimal condition for an electric current that is to be applied to the fuel cell includes:
fixing relative humidity conditions of an anode and a cathode of the fuel cell and a temperature condition of the fuel cell, among the derived operating conditions for accelerated degradation, operating the fuel cell by applying multiple different electric currents to the fuel cell, and identifying the degree of degradation of the fuel cell under a condition for each of the multiple different electric currents, and
selecting as an optimal condition for an electric current a condition for an electric current under which the degree of degradation of the fuel cell is lowest.