Electric Vehicle Distance Estimation Using Real-Time Fuel Efficiency
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Solution Overview
Problem
Current methods for estimating the remaining travel distance of electric vehicles are inaccurate, leading to potential strandings due to estimation errors, as they struggle to reliably determine the State Of Charge (SOC) of batteries under varying load conditions.
Innovation Solution
A method that estimates the remaining travel distance by setting a relationship between the SOC of a battery and accumulated fuel efficiency, using real-time data and quadratic functions to calculate the distance to empty (DTE), incorporating initial and present fuel efficiency values, and storing data for continuous monitoring and updating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional SOC measurement methods are used to estimate remaining travel distance, then the estimation process is simple, but the accuracy is low leading to potential strandings
Solution Approach 1:
The patent transforms the estimation approach by changing from direct SOC-based calculation to a dual-parameter system using both SOC and accumulated fuel efficiency. The controller dynamically adjusts the estimation by incorporating real-time fuel efficiency data, thereby improving accuracy without requiring fundamentally new hardware
Solution Approach 2:
The system implements feedback by continuously monitoring accumulated fuel efficiency during vehicle operation and using this information to adjust the remaining travel distance estimation. The controller compares estimated distance with actual travel patterns and refines the calculation accordingly, creating a self-correcting estimation system
2Reliability
If real-time SOC monitoring is implemented under varying load conditions, then the reliability of distance estimation improves, but the complexity of handling varying conditions increases
Solution Approach 1:
The patent applies dynamics by making the estimation system adaptive to changing operating conditions. The controller continuously updates the accumulated fuel efficiency parameter based on real-time vehicle operation, allowing the estimation to dynamically adjust to varying load conditions, driving patterns, and environmental factors
Solution Approach 2:
The system performs preliminary action by pre-calculating and storing accumulated fuel efficiency data during vehicle operation. This pre-computed data is then used as a basis for rapid and accurate DTE estimation, allowing the system to be well-prepared for varying conditions without real-time computational delays
Data Source
AI summary
The present invention provides a method for estimating a distance to empty (DTE) from the present amount of remaining fuel (the amount of remaining electricity) in an electric vehicle. In particular, the present invention provides a method for estimating a remaining travel distance of an electric vehicle, which can efficiently and accurately estimate a remaining travel distance by setting the relationship of a DTE with a state of charge (SOC) of a battery which changes in real time under various load conditions, in consideration of the present travel pattern, in addition to the SOC of a battery and accumulated fuel efficiency for the amount of remaining fuel of the electric vehicle.