CN-122029441-A - Battery management device and operation method thereof

Abstract

The battery management apparatus according to the embodiments disclosed herein includes a data acquisition unit configured to acquire degradation score data including a stored degradation score based on a state of charge (SOC) and a temperature of a battery of each of a plurality of vehicles and state data of the battery, and a controller configured to calculate a first score related to a degree of cyclic degradation of a target battery in a discharge section of a target vehicle, which is the battery of the target vehicle of the plurality of vehicles, from the state data of the target battery and the degradation score data, calculate a second score related to a degree of stored degradation of the target battery in the discharge section of the target vehicle, and manage a state of the target battery by calculating a stress score of the target battery from the first score and the second score.

Inventors

• Jin Jinpi
• Xu fujing
• JIN ZHOUSHENG
• Kang Xizhe
• JIN ZHINA

Assignees

• 株式会社LG新能源

Dates

Publication Date

20260512

Application Date

20240930

Priority Date

20231030

Claims (16)

1. 1. A battery management device comprising: A data acquisition unit configured to acquire degradation fraction data including a stored degradation fraction based on a state of charge (SOC) and a temperature of a battery of each of a plurality of vehicles and state data of the battery, and A controller configured to: calculating a first score related to a degree of cycle degradation of a target battery in a discharge section of a target vehicle, the target battery being a battery of a target vehicle among the plurality of vehicles, based on the state data; Calculating a second score related to a degree of storage degradation of the target vehicle in a discharge section of the target vehicle based on the state data of the target battery and the degradation score data, and The state of the target battery is managed by calculating a stress fraction of the target battery based on the first fraction and the second fraction.
2. 2. The battery management device of claim 1 wherein the status data comprises at least any one of voltage, current, power, temperature, SOC, discharge time of the battery.
3. 3. The battery management device of claim 2 wherein the controller is further configured to calculate the first score based on the amount of electrical energy and current consumed by the target battery during the discharge interval.
4. 4. The battery management device of claim 2 wherein the controller is further configured to calculate the second score from a weighted average of the stored degradation scores of the target battery, wherein the weighted average of the stored degradation scores of the target battery is calculated using the maintenance times of the respective SOCs and the respective temperatures of the target battery in the discharge interval as weight values.
5. 5. The battery management device of claim 1, wherein the controller is further configured to: Normalizing the first score and the second score, and And calculating the stress fraction of the target battery according to the normalized first fraction and the normalized second fraction.
6. 6. The battery management device of claim 5 wherein the controller is further configured to normalize the first score by dividing a difference between an average of the first scores of each of the plurality of vehicles belonging to the same model as the target vehicle and the first score of the target vehicle by a standard deviation of the first scores of each of the plurality of vehicles belonging to the same model as the target vehicle.
7. 7. The battery management device of claim 5 wherein the controller is further configured to normalize the second score by dividing a difference between an average of the second score for each of the plurality of vehicles and the second score for the target vehicle by a standard deviation of the second score for each of the plurality of vehicles.
8. 8. The battery management device of claim 5 wherein the controller is further configured to apply the weight ratios of the cyclical degradation and the stored degradation to the normalized first score and the normalized second score, respectively, to calculate a stress score for the target battery.
9. 9. A battery management method comprising: Acquiring degradation score data including a stored degradation score based on a state of charge (SOC) and a temperature of a battery of each of a plurality of vehicles and state data of the battery; calculating a first score related to a degree of cycle degradation of a target battery in a discharge section of a target vehicle, the target battery being a battery of a target vehicle among the plurality of vehicles, based on the state data; calculating a second score related to a degree of storage degradation of the target vehicle in the discharge section of the target vehicle based on the state data of the target battery and the degradation score data, and The state of the target battery is managed by calculating a stress fraction of the target battery based on the first fraction and the second fraction.
10. 10. The battery management method of claim 9, wherein the status data comprises at least any one of a voltage, a current, a power, a temperature, an SOC, and a discharge time of the battery.
11. 11. The battery management method of claim 10 wherein the calculating of the first score comprises calculating the first score from the amount of electrical energy and current consumed by the target battery during the discharge interval.
12. 12. The battery management method according to claim 10, wherein the calculation of the second score includes calculating the second score from a weighted average of the stored degradation scores of the target battery, wherein the weighted average of the stored degradation scores of the target battery is calculated using the respective states of charge and the respective maintenance times of the temperatures of the target battery in the discharge section as weight values.
13. 13. The battery management method of claim 9, further comprising: Normalizing the first score and the second score, and And calculating the stress fraction of the target battery according to the normalized first fraction and the normalized second fraction.
14. 14. The battery management method according to claim 13, wherein the normalization of the first score includes normalizing the first score by dividing a difference between an average value of the first scores of each of the plurality of vehicles belonging to the same model as the target vehicle and the first score of the target vehicle by a standard deviation of the first scores of each of the plurality of vehicles belonging to the same model as the target vehicle.
15. 15. The battery management method of claim 13 wherein the normalizing of the second score comprises normalizing the second score by dividing a difference between an average of the second score for each of the plurality of vehicles and the second score for the target vehicle by a standard deviation of the second score for each of the plurality of vehicles.
16. 16. The battery management method of claim 13 further comprising applying the weight ratio of the cyclical degradation and the stored degradation to the normalized first score and the normalized second score, respectively, to calculate a stress score for the target battery.

Description

Battery management device and operation method thereof Cross Reference to Related Applications The present application claims priority and benefit of korean patent application No. 10-2023-0146719 filed on 10-30 of 2023 to the korean intellectual property office, the entire contents of which are incorporated herein by reference. Technical Field Embodiments disclosed herein relate to a battery management device and a method of operating the same. Background In recent years, development work of secondary batteries has been actively underway. Herein, the chargeable/dischargeable secondary battery may include all conventional nickel-cadmium (Ni/Cd) batteries, nickel-hydrogen (Ni/MH) batteries, etc., as well as recent lithium ion batteries. In recent years, lithium ion batteries have been attracting attention as next-generation energy storage media as their range of use is expanding to power sources for electric vehicles. The electric automobile is powered by the outside to charge a battery cell/battery module, and then the battery cell/battery module discharges to drive a motor to obtain power. The battery cell/battery module is subjected to various charging and discharging processes in the production and use processes, and the inside of the battery cell/battery module is deformed and denatured, so that the physical characteristics and chemical characteristics of the battery cell/battery module are changed. There is a need for a technique for diagnosing and managing battery cell/module operation problems caused by battery degradation and deterioration. The causes of battery degradation may include cycle degradation (cycle degradation) and storage degradation (storage degradation). Both cycle degradation and storage degradation may occur during use and storage of the battery. Disclosure of Invention Technical problem Embodiments disclosed herein are directed to a battery management apparatus and an operating method thereof, in which a degree of degradation of a battery including cyclic degradation and storage degradation can be calculated to manage a degradation state of the battery. Embodiments disclosed herein are directed to a battery management apparatus and an operating method thereof, in which a calculated degree of degradation of a battery may be provided to a user to manage degradation of the battery. The technical problems of the embodiments disclosed herein are not limited to the technical problems described above, and other technical problems not mentioned will be clearly understood by those of ordinary skill in the art from the following description. Technical proposal The battery management apparatus according to the embodiments disclosed herein includes a data acquisition unit configured to acquire degradation score data including a stored degradation score based on a state of charge (SOC) and a temperature of a battery of each of a plurality of vehicles, and state data of the battery, and a controller configured to calculate a first score related to a degree of cyclic degradation of a target battery in a discharge section of the target vehicle, which is the battery of the target vehicle, from the state data of the target battery and the degradation score data, calculate a second score related to the degree of stored degradation of the target vehicle in the discharge section of the target vehicle, and manage the state of the target battery by calculating a stress score (stress score) of the target battery from the first score and the second score. According to an embodiment, the state data may include at least any one of a voltage, a current, a power, a temperature, an SOC, and a discharge time of the battery. According to an apparatus of an embodiment, the controller may be further configured to calculate the first score according to an amount of electric energy and an amount of electric current consumed by the target battery in the discharge interval. According to an embodiment of the apparatus, the controller may be further configured to calculate the second score according to a weighted average of the stored degradation scores of the target battery, wherein the weighted average of the stored degradation scores of the target battery is calculated using, as the weight value, the maintenance time of the target battery for each state of charge and each temperature of the target battery in the discharge section. According to an embodiment of the apparatus, the controller may be further configured to normalize the first score and the second score, and calculate a stress score of the target battery based on the normalized first score and second score. According to an apparatus of an embodiment, the controller may be further configured to normalize the first score by dividing a difference between an average value of the first score of each of the plurality of vehicles belonging to the same model as the target vehicle and the first score of the target vehicle by a standard deviation of the first score of