18546500. FAILURE PREDICTION SYSTEM, FAILURE PREDICTION METHOD, AND FAILURE PREDICTION PROGRAM simplified abstract (Panasonic Intellectual Property Management Co., Ltd.)
Contents
- 1 FAILURE PREDICTION SYSTEM, FAILURE PREDICTION METHOD, AND FAILURE PREDICTION PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 FAILURE PREDICTION SYSTEM, FAILURE PREDICTION METHOD, AND FAILURE PREDICTION 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
FAILURE PREDICTION SYSTEM, FAILURE PREDICTION METHOD, AND FAILURE PREDICTION PROGRAM
Organization Name
Panasonic Intellectual Property Management Co., Ltd.
Inventor(s)
MASAAKI Kuranuki of Kyoto (JP)
FAILURE PREDICTION SYSTEM, FAILURE PREDICTION METHOD, AND FAILURE PREDICTION PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18546500 titled 'FAILURE PREDICTION SYSTEM, FAILURE PREDICTION METHOD, AND FAILURE PREDICTION PROGRAM
Simplified Explanation
The patent application describes a system where an obtainer collects travel data from an electric vehicle, and a predictor uses this data to predict potential failures in the drive circuit of the motor that powers the vehicle. Specifically, the predictor analyzes the position data and power consumption data of the electric vehicle to anticipate failures due to aging in the drive circuit.
- The obtainer collects travel data from an electric vehicle.
- The predictor uses the travel data to predict failures in the drive circuit of the motor.
- The predictor focuses on failures caused by aging in the drive circuit.
- The analysis is based on position data and power consumption data of the electric vehicle.
Potential Applications
This technology could be applied in:
- Predictive maintenance for electric vehicles.
- Improving the reliability and longevity of electric vehicle components.
Problems Solved
This technology helps to:
- Anticipate and prevent potential failures in the drive circuit of electric vehicles.
- Enhance the overall performance and safety of electric vehicles.
Benefits
The benefits of this technology include:
- Increased efficiency in maintenance operations for electric vehicles.
- Reduced downtime and costs associated with unexpected failures.
Potential Commercial Applications
A potential commercial application of this technology could be:
- Offering predictive maintenance services for electric vehicle fleets.
Possible Prior Art
One possible prior art could be:
- Predictive maintenance systems for traditional combustion engine vehicles.
Unanswered Questions
How does the predictor differentiate between failures caused by aging and other factors in the drive circuit of the motor?
The patent application does not provide specific details on how the predictor distinguishes between failures due to aging and failures caused by other factors. Further information on the methodology used for this differentiation would be helpful.
What measures are in place to ensure the accuracy and reliability of the predictions made by the system?
The patent application does not mention any validation or verification processes to ensure the accuracy and reliability of the predictions generated by the system. Details on the validation methods employed would be beneficial for understanding the robustness of the technology.
Original Abstract Submitted
An obtainer obtains travel data of an electric vehicle. A predictor predicts a failure due to aging in a drive circuit of a motor which drives a driving wheel of the electric vehicle, based on the travel data of the electric vehicle. The travel data includes position data of the electric vehicle and data relating to power consumption of the electric vehicle. The predictor predicts the failure due to aging in the drive circuit based on a change in an increase of power consumption generated when the electric vehicle travels a same route.
