Toyota jidosha kabushiki kaisha (20240110994). STATE ESTIMATION METHOD, STATE ESTIMATION DEVICE, AND RECORDING MEDIUM RECORDING PROGRAM simplified abstract
Contents
- 1 STATE ESTIMATION METHOD, STATE ESTIMATION DEVICE, AND RECORDING MEDIUM RECORDING PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 STATE ESTIMATION METHOD, STATE ESTIMATION DEVICE, AND RECORDING MEDIUM RECORDING PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
STATE ESTIMATION METHOD, STATE ESTIMATION DEVICE, AND RECORDING MEDIUM RECORDING PROGRAM
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Takumi Tanaka of Takarazuka-shi (JP)
STATE ESTIMATION METHOD, STATE ESTIMATION DEVICE, AND RECORDING MEDIUM RECORDING PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240110994 titled 'STATE ESTIMATION METHOD, STATE ESTIMATION DEVICE, AND RECORDING MEDIUM RECORDING PROGRAM
Simplified Explanation
The state estimation device described in the patent application uses impedance data measured before and after a test on a reference rechargeable battery to estimate the state of an estimation target rechargeable battery. The device computes peak frequencies from impedance data and uses a model to estimate the state of the target battery based on these peak frequencies.
- First acquisition section acquires measurement data and states of a reference rechargeable battery before and after a test.
- Derivation section computes peak frequencies from impedance data and derives a model representing the relationship between peak frequencies and states.
- Second acquisition section acquires measurement data of an estimation target rechargeable battery.
- Computation section computes a peak frequency from impedance data of the estimation target battery.
- Estimation section uses the model to estimate the state of the estimation target rechargeable battery based on the peak frequency.
Potential Applications
The technology can be applied in battery management systems for electric vehicles, renewable energy storage systems, and portable electronic devices.
Problems Solved
This technology helps in accurately estimating the state of rechargeable batteries, which is crucial for optimizing their performance and lifespan.
Benefits
The device allows for efficient monitoring and management of rechargeable batteries, leading to improved reliability and longevity of battery systems.
Potential Commercial Applications
"State Estimation Device for Rechargeable Batteries: Commercial Applications"
Possible Prior Art
There may be prior art related to impedance-based state estimation methods for rechargeable batteries, but specific examples are not provided in the patent application.
What are the potential limitations of this technology in real-world applications?
The technology described in the patent application may face challenges in accurately estimating the state of rechargeable batteries in complex operating conditions or with varying battery chemistries.
How does this technology compare to existing battery state estimation methods?
The patent application does not provide a direct comparison to existing battery state estimation methods, so it is unclear how this technology differs or improves upon current approaches.
Original Abstract Submitted
a state estimation device includes a first acquisition section, a derivation section, a second acquisition section, a computation section and an estimation section. the first acquisition section acquires measurement data and states of a reference rechargeable battery before and after a test that causes deterioration to progress. the measurement data is impedances at respective frequencies measured by an impedance method, and the states are found in advance. the derivation section computes peak frequencies before and after the test from arc-shaped curves in graphs plotting the impedances at the respective frequencies represented by the measurement data, and obtains a model representing a relationship between peak frequencies and states. the second acquisition section acquires measurement data of an estimation target rechargeable battery, which is impedances at respective frequencies measured by the impedance method. the computation section computes a peak frequency from an arc-shaped curve in a graph plotting the impedances at the respective frequencies represented by this measurement data. the estimation section uses the model to estimate the state of the estimation target rechargeable battery from the peak frequency of the estimation target rechargeable battery.
