Vehicle Range Projection for Shared Electric Vehicles
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Solution Overview
Problem
Electric vehicle range projection for shared vehicles is inaccurate due to variations in driving style, climate, and terrain, leading to differing travel distances for identical vehicles with the same battery charge among different drivers.
Innovation Solution
A system embedded in the vehicle detects a key fob associated with an individual, retrieves historical drive cycle data, and calculates a projected electric range value based on available battery charge and driving style, adjusting for factors like climate and terrain, and presents this value to the driver through a vehicle display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single projected electric range value is provided for a shared vehicle, then the system complexity is reduced, but the accuracy and usefulness of the range information deteriorates for individual drivers
Solution Approach 1:
The patent segments the single range projection into multiple driver-specific range projections. Each driver receives a customized range value based on their individual driving style, which is stored and retrieved when their key fob is detected. This segmentation resolves the contradiction by maintaining low system complexity through simple key fob detection while significantly improving range projection accuracy for each individual driver.
2Measurement precision
If driver-specific historical data is collected and processed, then the range projection accuracy improves for each driver, but the data storage and processing requirements increase
Solution Approach 1:
The patent applies local quality by storing driving style data specifically for each driver in the database, rather than using a generic approach. When a driver's key fob is detected, only that driver's specific historical drive cycle data is retrieved and used to calculate their customized range projection. This approach improves accuracy for each driver while minimizing overall data storage requirements by maintaining separate, targeted data sets.
3Measurement precision
If the system adjusts range projection based on multiple factors including driving style, climate, and terrain, then the accuracy improves, but the computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-storing each driver's driving style characteristics in the database based on historical drive cycle data. When a driver enters the vehicle, the system quickly retrieves their pre-analyzed driving style data and combines it with current environmental factors to calculate the range projection. This preliminary processing reduces computational complexity during actual use while maintaining high accuracy through consideration of multiple factors.
Data Source
AI summary
Vehicle range projection includes detecting, via a vehicle antenna, a key fob within range of the vehicle. The key fob is associated with an individual. The vehicle range projection also includes searching, via a computer processor embedded in the vehicle, a database for a record having an identifier that matches an identifier of the key fob. The record stores historical drive cycle data associated with the key fob and the individual. The vehicle range projection further includes retrieving the historical drive cycle data and calculating a projected electric range value indicative of a distance in which the vehicle is capable of traveling on electric-only power. The projected electric range value is calculated as a function of a distance calculated based on available battery charge that is adjusted based on a driving style of the individual. The driving style of the individual is determined from the historical drive cycle data.