Vehicle Energy Estimation Using Driver Tendency and Job Progress
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Solution Overview
Problem
Existing methods for estimating vehicle energy consumption, particularly for electric vehicles, do not accurately account for the driver's personality and operation tendencies, leading to inaccuracies in energy consumption prediction.
Innovation Solution
A computational system that calculates job progress and uses driver-specific operation tendencies to estimate vehicle energy consumption by integrating a job progress calculator, operation tendency storage, and simulation computer to consider the driver's characteristics and behavior patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing estimation methods are used, then the estimation process is simple, but the measurement precision of energy consumption estimation is insufficient
Solution Approach 1:
The patent segments the driver's operation tendencies into distinct categories (acceleration tendency, deceleration tendency, steering tendency) and further divides them by job progress stages (first half, second half). This segmentation allows the system to selectively apply different operation tendencies based on the current job progress, improving estimation accuracy without requiring all driver characteristics to be processed simultaneously, thus managing complexity.
Solution Approach 2:
The patent performs preliminary classification and storage of driver operation tendencies during the learning phase, organizing data by job progress stages and operation types before actual energy consumption estimation is needed. This preliminary action enables the estimation system to quickly retrieve and apply appropriate operation tendencies without performing complex real-time analysis, thereby improving measurement precision while keeping the estimation process computationally efficient.
2Measurement precision
If driver personality characteristics are incorporated, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent applies local quality by assigning different operation tendencies to different job progress stages. Specifically, it uses first operation tendencies for the first half of the job and second operation tendencies for the second half of the job. This localized approach allows the system to capture the dynamic nature of driver behavior without requiring a completely different model for each stage, balancing accuracy improvement with manageable complexity.
Solution Approach 2:
The patent implements dynamics by making the operation tendencies changeable based on job progress. The system dynamically switches between different operation tendency sets (first half tendencies, second half tendencies) as the job progresses, rather than using a static single set of tendencies. This dynamic adaptation improves measurement precision by reflecting actual driver behavior changes while maintaining a structured approach that limits complexity.
Data Source
AI summary
A computational system estimating an energy consumption of a vehicle operated by a driver, the computational system includes a job progress calculator configured to calculate a job progress that is a delay time from a scheduled time on a simulation, an operation tendency storage configured to store tendency information that is a combination of a driver ID that is an identifier of the driver, the job progress, and an operation tendency of the vehicle, an operation tendency reader configured to read the operation tendency of the driver from the tendency information, using the job progress calculated by the job progress calculator, and the driver ID of the driver who is an computation target and a simulation computer configured to calculate the energy consumption of the vehicle, based on the operation tendency read by the operation tendency reader, with respect to each driver who is the computation target.