Granted Patent B2

US 12,300,795 · App. 17/393,775 · Granted May 13, 2025

Inventor: Bo Ram Yang (Anyang-si, KR)

Assignees: HYUNDAI MOTOR COMPANY; KIA CORPORATION

H01M10/613H01M10/625H01M10/633H01M10/6563

Abstract

Claims (60)

1. A battery cooling control method for an environmental vehicle equipped with a battery air cooling system, the battery cooling control method comprising:

collecting information for driving a cooling fan;

performing data analysis based on the collected information;

performing battery cooling control based on a result of the data analysis;

determining a battery cooling start temperature based on the result of the data analysis and big data accumulated in advance;

starting the battery cooling control by driving the cooling fan when it is determined that a battery temperature is higher than the battery cooling start temperature; and

when it is determined that the cooling fan has failed and the battery temperature is higher than a reference value as the result of the data analysis, limiting an available battery power to at least a predetermined level,

wherein the information includes vehicle sensor and actuator information, external environment information, and user information, and

wherein the user information includes battery usage habit information, vehicle usage habit information, departure/arrival location information, and cooling control accumulation information.

2. The battery cooling control method of claim 1 , wherein the performing the battery cooling control comprises:

performing at least one of a cooling fan duty control for controlling a rotational speed of the cooling fan, or an available battery power control for limiting an amount of output of a battery.

3. The battery cooling control method of claim 2 , wherein the performing the cooling fan duty control comprises:

performing the cooling fan duty control that has a resolution set to have a change amount in the rotational speed less than a minimum change amount in the rotational speed between driving stages of the cooling fan.

4. The battery cooling control method of claim 1 , further comprising:

predicting at least one of an amount of usage of a battery or an amount of heat to be generated in the battery based on the result of the data analysis; and

dynamically determining a battery cooling control time point and a battery cooling control value based on at least one of the amount of usage of the battery or the amount of heat to be generated in the battery.

5. The battery cooling control method of claim 1 , further comprising:

determining whether cooling control is necessary during parking based on the result of the data analysis; and

when it is determined that the cooling control is necessary during the parking, performing the battery cooling control by waking up a battery management system.

6. The battery cooling control method of claim 1 , further comprising:

determining whether the cooling fan is normally driven based on fan feedback frequency information; and

when it is determined that the cooling fan is not normally driven, calculating an optimal duty corresponding to a target amount of cooling by tuning a duty control value of the cooling fan,

wherein the information further includes the fan feedback frequency information indicating a rotational speed of the cooling fan.

7. The battery cooling control method of claim 1 , further comprising:

predicting cooling efficiency of the battery air cooling system based on the big data accumulated in advance; and

performing the battery cooling control according to the predicted cooling efficiency, wherein the big data includes statistical information of weather, temperature, humidity by region, location, month, and time zone.

8. The battery cooling control method of claim 1 , wherein:

the vehicle sensor and actuator information includes at least one of inlet air temperature information, battery cooling start temperature information, vehicle speed information, failure information, or cooling fan status information, and

the external environment information includes at least one of weather information, temperature information, humidity information, location information, driving road condition information, driving road type information, or traffic condition information.

9. A battery cooling control apparatus for an environmental vehicle equipped with a battery air cooling system, the battery cooling control apparatus comprising:

a memory storing program instructions; and

a processor configured to execute the program instructions, the program instructions when executed configured to:

perform data analysis based on collected information;

perform battery cooling control based on a result of the data analysis;

determine a battery cooling start temperature based on the result of the data analysis and big data accumulated in advance;

start the battery cooling control by driving a cooling fan when it is determined that a battery temperature is higher than the battery cooling start temperature; and

limit an available battery power to at least a predetermined level when it is determined that the cooling fan has failed and the battery temperature is higher than a reference value as the result of the data analysis,

wherein the collected information includes vehicle sensor and actuator information, external environment information, and user information, and

wherein the user information includes battery usage habit information, vehicle usage habit information, departure/arrival location information, and cooling control accumulation information.

10. The battery cooling control apparatus of claim 9 , wherein the processor is further configured to:

perform at least one of a cooling fan duty control for controlling a rotational speed of the cooling fan, or an available battery power control for limiting an amount of output of a battery.

11. The battery cooling control apparatus of claim 10 , wherein the processor is configured to:

perform the cooling fan duty control that has a resolution set to have a change amount in the rotational speed less than a minimum change amount in the rotational speed between driving stages of the cooling fan.

12. The battery cooling control apparatus of claim 9 , wherein the processor is configured to:

predict at least one of an amount of usage of the battery or an amount of heat to be generated in the battery based on the result of the data analysis; and

dynamically determine a battery cooling control time point and a battery cooling control value based on at least one of the amount of usage of the battery or the amount of heat to be generated in the battery.

13. The battery cooling control apparatus of claim 9 , wherein the processor is configured to:

determine whether cooling control is necessary during parking based on the result of the data analysis; and

perform the battery cooling control by waking up a battery management system when it is determined that the cooling control is necessary during the parking.

14. The battery cooling control apparatus of claim 9 , wherein the processor is configured to:

determine whether the cooling fan is normally driven based on fan feedback frequency information; and

calculate an optimal duty corresponding to a target amount of cooling by tuning a duty control value of the cooling fan when it is determined that the cooling fan is not normally driven,

wherein the information further includes the fan feedback frequency information indicating a rotational speed of the cooling fan.

15. The battery cooling control apparatus of claim 9 , wherein the processor is configured to:

predict cooling efficiency of the battery air cooling system based on the big data accumulated in advance; and

perform the battery cooling control according to the predicted cooling efficiency,

wherein the big data includes statistical information of weather, temperature, humidity by region, location, month, and time zone.

16. The battery cooling control apparatus of claim 9 , wherein:

the vehicle sensor and actuator information includes at least one of inlet air temperature information, battery cooling start temperature information, vehicle speed information, failure information, or cooling fan status information, and

the external environment information includes at least one of weather information, temperature information, humidity information, location information, driving road condition information, driving road type information, or traffic condition information.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (12)