18077615. APPARATUS FOR PREDICTING BATTERY LIFESPAN AND METHOD PREDICTING BATTERY LIFESPAN simplified abstract (Hyundai Motor Company)

APPARATUS FOR PREDICTING BATTERY LIFESPAN AND METHOD PREDICTING BATTERY LIFESPAN

Organization Name

Hyundai Motor Company

Inventor(s)

Jaekyung Oh of Yongin-Si (KR)

Chulkyu Lee of Anyang-Si (KR)

Ju Seok Kim of Suwon-Si (KR)

Hee Yeon Ryu of Yongin-Si (KR)

Bohyun Lee of Incheon (KR)

Kyeongeun Cho of Seoul (KR)

Hangsoon Jung of Seoul (KR)

Seongyoon Kim of Incheon (KR)

Jung-Il Choi of Goyang-Si (KR)

APPARATUS FOR PREDICTING BATTERY LIFESPAN AND METHOD PREDICTING BATTERY LIFESPAN - A simplified explanation of the abstract

This abstract first appeared for US patent application 18077615 titled 'APPARATUS FOR PREDICTING BATTERY LIFESPAN AND METHOD PREDICTING BATTERY LIFESPAN

Simplified Explanation

The patent application describes a vehicle system that includes a display, a battery, a battery sensor, and a processor. The system is designed to predict the lifespan of the battery and display it on the vehicle's display.

• The system includes a battery sensor that collects data about the battery's performance.
• A processor uses this data to acquire an output from a battery lifespan model.
• The battery lifespan model is trained using data collected from battery cells in different operating environments.
• The model includes a cell lifespan model and a pack lifespan model.
• The cell lifespan model uses data from battery cells in a second operating environment.
• The pack lifespan model is trained using data from battery packs in a first operating environment.

Potential applications of this technology:

• Electric vehicles: This system can be used in electric vehicles to provide real-time information about the lifespan of the battery. This can help drivers plan their trips and manage their battery usage more efficiently.
• Energy storage systems: The system can also be applied to energy storage systems, such as those used in renewable energy installations. It can provide valuable information about the lifespan of the batteries used in these systems, allowing for better maintenance and replacement planning.

Problems solved by this technology:

• Battery lifespan prediction: The system solves the problem of accurately predicting the lifespan of a battery. By using a battery lifespan model trained with data from different operating environments, it can provide more accurate predictions compared to traditional methods.
• Battery management: The system helps in managing the battery by providing real-time information about its lifespan. This allows for better planning and optimization of battery usage.

Benefits of this technology:

• Improved battery lifespan prediction: The system's battery lifespan model, trained with data from different operating environments, provides more accurate predictions of battery lifespan.
• Enhanced battery management: By displaying the battery's lifespan on the vehicle's display, drivers can make informed decisions about their driving habits and optimize battery usage.
• Cost savings: Accurate battery lifespan prediction and better battery management can result in cost savings by reducing the need for premature battery replacements.

Original Abstract Submitted

A vehicle may include a display; a battery; a battery sensor configured to acquire battery data of the battery; and a processor configured to acquire an output of a battery lifespan model associated with the battery data, predict a lifespan value of the battery based on the output of the battery lifespan model, and display an indication associated with the lifespan value of the battery on the display. The battery lifespan model may include a cell lifespan model associated with a basic lifespan model trained using first battery cell data collected in a first operating environment. The cell lifespan model may use second battery cell data collected in a second operating environment, and a pack lifespan model may be trained using battery pack data collected in the first operating environment.