EP-4741221-A1 - SYSTEM AND METHOD FOR DETERMINING AND MANAGING BATTERY DEGRADATION

EP4741221A1EP 4741221 A1EP4741221 A1EP 4741221A1EP-4741221-A1

Abstract

According to some embodiments disclosed in this disclosure, a battery management system may comprise a data acquirer configured to acquire driving data related to driving of a vehicle and battery data related to a battery pack of the vehicle; and a controller configured to determine whether regenerative braking of the vehicle occurs based on the driving data and the battery data, derive statistical data related to the occurrence of the regenerative braking, and predict a degree of degradation of the battery pack based on the statistical data.

Inventors

KOO, JA HOON

Assignees

LG Energy Solution, Ltd.

Dates

Publication Date: 20260513
Application Date: 20231219

Claims (20)

A battery management system, comprising: a data acquirer configured to acquire driving data related to driving of a vehicle and battery data related to a battery pack of the vehicle; and a controller configured to: determine whether regenerative braking of the vehicle occurs based on the driving data and the battery data; determine statistical data related to the occurrence of the regenerative braking; and generate a degree of degradation of the battery pack based on the statistical data.
The battery management system of claim 1, wherein the controller is further configured to: derive charging data related to charging of the battery pack by the occurrence of regenerative braking, wherein generating the degree of degradation of the battery pack is further based on the charging data.
The battery management system of claim 2, wherein the statistical data includes a number of occurrences of the regenerative braking, and the charging data includes a charging amount of the battery pack.
The battery management system of claim 3, wherein the controller is further configured to: determine an estimated level of the occurrence of regenerative braking based on the driving data and the charging amount, wherein generating the degree of degradation is based on the number of occurrences of regenerative braking and the estimated level of the occurrence of regenerative braking.
The battery management system of claim 4, wherein the controller is further configured to: limit at least one of (i) discharging of the battery pack by driving of the vehicle, or (ii) charging of the battery pack by future regenerative braking occurrences based on a predetermined ratio, the predetermined ratio being based on the number of occurrences of regenerative braking and the estimated level of the occurrence of regenerative braking.
The battery management system of claim 4, wherein the controller is configured to generate the degree of degradation using a degradation prediction model, the degradation prediction model includes a first sub-model trained to calculate the estimation level and a second sub-model trained to predict the degree of degradation.
The battery management system of claim 6, wherein the controller is configured to: acquire an actual level of the occurrence of regenerative braking determined by a control device of the vehicle; and update the first sub-model by comparing the estimated level of the occurrence of regenerative braking with the actual level of the occurrence of regenerative braking.
The battery management system of claim 6, wherein the controller is configured to: transmit the number of occurrences of regenerative braking and the estimated level to an energy management server outside the vehicle; and receive the degree of degradation predicted based on the number of occurrences of regenerative braking and the estimated level of the occurrence of regenerative braking through the degradation prediction model by the energy management server.
A vehicle comprising: a battery pack; a driving system; and the battery management system of claim 1.
A battery management method, comprising: acquiring, by a battery management system, driving data related to driving of a vehicle and battery data related to a battery pack of the vehicle; determining, by the battery management system based on the driving data and the battery data, whether regenerative braking of the vehicle occurs; determining, by the battery management system, statistical data related to the occurrence of regenerative braking; and generating, by the battery management system, a degree of degradation of the battery pack based on the statistical data.
The battery management method of claim 10, wherein the driving data and the battery data are received by a data acquirer of the battery management system.
The battery management method of claim 10, wherein the degree of degradation of the battery pack is generated by a controller of the battery management system.
The battery management method of claim 12, further comprising: determining, by the controller, charging data related to charging of the battery pack by the occurrence of regenerative braking, wherein generating the degree of degradation of the battery pack is further based on the charging data.
The battery management method of claim 13, wherein the statistical data includes a number of occurrences of regenerative braking, and the charging data includes a charging amount of the battery pack.
The battery management method of claim 14, wherein determining the degree of degradation includes: determining an estimated level of the occurrence of regenerative braking based on the driving data and the charging amount; and predicting the degree of degradation based on the number of occurrences of regenerative braking and the estimated level of the occurrence of regenerative braking.
The battery management method of claim 15, further comprising: limiting at least one of (i) discharge of the battery pack during driving of the vehicle or (ii) the charging of the battery pack by future occurrences of regenerative braking according to a predetermined ratio based on the number of occurrences of regenerative braking and the estimated level of the occurrence of regenerative braking.
The battery management method of claim 15, wherein the controller generates the degree of degradation, wherein the degree of degradation is generated based on a degradation prediction model including a first sub-model configured to calculate the estimated level of the occurrence of regenerative braking and a second sub-model configured to predict the degradation degree.
The battery management method of claim 17, further comprising; receiving an actual level of the occurrence of regenerative braking determined by a control device of the vehicle; and updating the first sub-model by comparing the estimated level with the actual level.
The battery management method of claim 15, further comprising: transmitting the number of occurrences of regenerative braking and the estimated level of the occurrence of regenerative braking to an energy management server remotely located from the vehicle; and receiving the degree of degradation predicted based on the number of occurrences of regenerative braking and another estimated level of the occurrence regenerative braking through a degradation prediction model implemented by the energy management server.
A non-transitory computer readable medium storing instructions, which, when executed by at least one processor, causes the at least one processor to perform operations of: acquiring driving data related to driving of a vehicle and battery data related to a battery pack of the vehicle; determining whether regenerative braking of the vehicle occurs based on the driving data and the battery data; deriving statistical data related to the occurrence of regenerative braking; and predicting a degree of degradation of the battery pack based on the statistical data.

Description

TECHNICAL FIELD CROSS-REFERENCE TO RELATED APPLICATION The present application claims priority to Korean Patent Application No. 10-2023-0155381, filed on November 10, 2023 and Korean Patent Application No. 10-2023-0114034, filed on August 29, 2023, the entire contents of which is incorporated herein for all purposes by this reference. TECHNICAL FIELD This disclosure relates to systems and methods for determining battery degradation resulting from regenerative braking. BACKGROUND ART As the demand for eco-friendly vehicles increases, electric vehicles (EVs) with batteries such as lithium-ion secondary batteries as an energy source are rapidly replacing existing internal combustion engine vehicles. Meanwhile, as artificial intelligence technology and various sensor technologies are advanced, research and development for improving the performance of hardware and software related to the vehicle's autonomous driving system are also being actively conducted. An autonomous driving system to support vehicle autonomous driving has been developed or provided in the form of autonomous driving platforms including various sensors and control units. Some electric vehicle manufacturers are mass-producing or developing autonomous driving electric vehicles based on autonomous driving platforms. Regenerative braking may refer to a braking method in which a battery is charged using a power generation function of a motor when a vehicle having a battery as an energy source and a motor as a driving means brakes. Regenerative braking may be performed at different levels, and the braking force of the vehicle and the charging amount of the battery may vary according to the level of regenerative braking. The driving control device of the electric vehicle may determine an appropriate level of regenerative braking, and may control the driving of the electric vehicle accordingly. However, regenerative braking may inevitably cause degradation of the battery in that the battery is repeatedly charged and discharged. Thus, the battery is degraded more rapidly than if no regenerative braking is used. Such rapid degradation of the batteries results in the need to replace the batteries more frequently, causing more emissions and/or greenhouse gases being produced during the production of the batteries. Such emissions and/or greenhouse gases may adversely affect the environment, such as by leading to climate change. DISCLOSURE TECHNICAL PROBLEM One object of embodiments disclosed herein is to provide a battery management system, a vehicle, a battery management method, and a computer program that can consider regenerative braking of a vehicle when predicting a degree of battery degradation and, in some instances, adjust the charging and/or discharging of the battery to reduce battery degradation. By predicting a degree of battery degradation based on regenerative braking levels and adjusting the charging and/or discharging of the battery to reduce battery degradation, the overall lifespan of the battery may be increased, thereby leading to reduced levels of emissions and/or greenhouse gases being produced during the production of the batteries. Furthermore, the technology described herein can be implemented in the automated vehicle platforms of many types of vehicles, leading to widespread improvements in energy efficiency. One object of embodiments disclosed herein is to provide a computing system, a vehicle, a method for operating the computing system, and a computer program capable of determining a regenerative braking and/or driving strategy of a vehicle in consideration of the degradation of a battery. The technical problems to be solved in the present disclosure are not limited to the above-mentioned technical problems, and any other technical problems not mentioned will be clearly understood from the following description by those skilled in the art. TECHNICAL SOLUTION Aspects of the disclosure may include a battery management system. The battery management system may include a data acquirer configured to acquire driving data related to driving of a vehicle and battery data related to a battery pack of the vehicle; and a controller. The controller may be configured to: determine whether regenerative braking of the vehicle occurs based on the driving data and the battery data; determine statistical data related to the occurrence of the regenerative braking; and generate a degree of degradation of the battery pack based on the statistical data. In some examples, the controller is further configured to: derive charging data related to charging of the battery pack by the occurrence of regenerative braking, wherein generating the degree of degradation of the battery pack is further based on the charging data. In some examples, the statistical data includes a number of occurrences of the regenerative braking, and the charging data includes a charging amount of the battery pack. In some examples, the controller is further configured to: determi