18099422. BATTERY STATE ESTIMATION METHOD AND APPARATUS simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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BATTERY STATE ESTIMATION METHOD AND APPARATUS

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Kaeweon You of Hwaseong-si (KR)

Jeonghyun Park of Seoul (KR)

Jinho Kim of Yongin-si (KR)

BATTERY STATE ESTIMATION METHOD AND APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18099422 titled 'BATTERY STATE ESTIMATION METHOD AND APPARATUS

Simplified Explanation

The abstract describes a method for estimating the state of a battery using an electrochemical-thermal (ECT) model. Here is a simplified explanation of the abstract:

  • The method starts by obtaining an initial value of a vector-type parameter that represents the ECT model of the battery.
  • From this initial value, a predetermined point is extracted from the vector-type parameter.
  • A target parameter is then generated based on this predetermined point.
  • The goal of generating the target parameter is to minimize the error between the actual state of the battery and the state predicted by the ECT model.
  • Finally, the state of the battery is estimated based on the target parameter.

Potential applications of this technology:

  • Battery management systems in electric vehicles.
  • Energy storage systems for renewable energy sources.
  • Portable electronic devices with improved battery life.

Problems solved by this technology:

  • Accurate estimation of the state of a battery, including its charge level and health.
  • Enhanced control and optimization of battery performance.
  • Improved reliability and safety of battery systems.

Benefits of this technology:

  • More efficient use of battery capacity, leading to longer battery life.
  • Better prediction of battery behavior, allowing for proactive maintenance and replacement.
  • Increased overall performance and reliability of battery-powered systems.


Original Abstract Submitted

A battery state estimation method includes acquiring an initial value of a vector-type parameter for modeling an electrochemical-thermal (ECT) model of a battery, extracting a predetermined point from the vector-type parameter based on the initial value, generating a target parameter based on the predetermined point, to minimize an error between an actual state of the battery and a state of the battery acquired from the ECT model, and estimating the state of the battery based on the target parameter.

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