17948579. METHOD FOR DETERMINING AN OPTIMAL STATE-OF-CHARGE OPERATING WINDOW FOR A BATTERY simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)

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METHOD FOR DETERMINING AN OPTIMAL STATE-OF-CHARGE OPERATING WINDOW FOR A BATTERY

Organization Name

GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor(s)

Ciro A. Spigno, Jr. of Leonard MI (US)

Christopher R. Neuman of Denver CO (US)

METHOD FOR DETERMINING AN OPTIMAL STATE-OF-CHARGE OPERATING WINDOW FOR A BATTERY - A simplified explanation of the abstract

This abstract first appeared for US patent application 17948579 titled 'METHOD FOR DETERMINING AN OPTIMAL STATE-OF-CHARGE OPERATING WINDOW FOR A BATTERY

Simplified Explanation

The patent application describes a method for determining an optimal state-of-charge (SOC) operating window for a battery used in an electric vehicle. Here are the key points of the innovation:

  • Learning patterns of periodic charging and usage of the battery over multiple time periods.
  • Using a statistical model to determine the periodic energy requirement of the battery based on the learned patterns.
  • Setting maximum and minimum SOC levels for the operating window based on the periodic energy requirement, learned patterns, and battery chemistry.

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      1. Potential Applications

This technology can be applied in electric vehicles, grid energy storage systems, and portable electronic devices to optimize battery performance and longevity.

      1. Problems Solved

1. Optimizing the SOC operating window can extend the battery life and improve overall efficiency. 2. Enhancing the predictability of energy requirements can lead to better planning and utilization of battery resources.

      1. Benefits

1. Improved battery performance and longevity. 2. Enhanced energy efficiency and cost savings. 3. Better management of battery health and overall system reliability.

      1. Potential Commercial Applications

Optimizing battery performance in electric vehicles for increased range and efficiency.

      1. Possible Prior Art

One possible prior art could be research on battery management systems and optimization techniques for battery usage in various applications.

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      1. Unanswered Questions
        1. How does this method compare to existing battery management systems in terms of accuracy and efficiency?

This article does not provide a direct comparison with existing battery management systems, so it is unclear how this method stacks up against current technologies in the market.

        1. What are the potential limitations or challenges in implementing this method on a large scale in electric vehicles or grid energy storage systems?

The article does not address potential obstacles or scalability issues that may arise when implementing this method in real-world applications, leaving room for further exploration and analysis.


Original Abstract Submitted

A method for determining an optimal state-of-charge (SOC) operating window for a battery for use in an electric vehicle includes learning a pattern of periodic charging of the battery for a plurality of time periods and a pattern of periodic usage of the battery for the plurality of time periods, determining a periodic energy requirement for the battery for the plurality of time periods based on the learned patterns using a statistical model, and setting a maximum SOC level and a minimum SOC level for the SOC operating window based on two or more of the periodic energy requirement, the learned patterns and a battery chemistry of the battery.

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