Portable Device Efficiency Profile Management for Electric Vehicles
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Solution Overview
Problem
Existing electric vehicle range prediction methods often inaccurately determine the expected operational range due to neglecting factors like driver behavior and ambient temperature, and lack efficient management of user-specific efficiency profiles.
Innovation Solution
A method for electric vehicle efficiency profile management involves a portable electronic device that detects communication links with the vehicle, stores user-specific efficiency information, and updates profiles based on location, vehicle state, and ambient temperature, enabling accurate range prediction independent of the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional range prediction methods are used that neglect driver behavior and ambient temperature, then the prediction process is simple, but the prediction accuracy deteriorates
Solution Approach 1:
The efficiency profile is segmented into multiple parameters including driver behavior characteristics, ambient temperature effects, vehicle state data, and location information. Each parameter is collected and stored separately in the portable electronic device, allowing comprehensive analysis while maintaining organized data structure that manages complexity.
Solution Approach 2:
The portable electronic device serves as an intermediary between the electric vehicle and the range prediction system. It collects efficiency data from the vehicle, stores user-specific profiles, and processes this information to generate accurate range predictions, independent of the vehicle's native systems while improving prediction accuracy.
2Measurement precision
If user-specific efficiency data is collected and stored continuously, then prediction accuracy improves, but data storage requirements and processing complexity increase
Solution Approach 1:
The portable electronic device pre-processes and organizes efficiency data during collection, structuring it into meaningful profiles before storage. User-specific efficiency profiles are created by aggregating and categorizing data points, reducing the volume of raw data that needs to be stored while preserving the essential information for accurate predictions.
Solution Approach 2:
Instead of storing all raw efficiency data continuously, the system creates condensed copies in the form of user-specific efficiency profiles. These profiles capture the essential patterns and characteristics of driver behavior and vehicle performance, providing accurate prediction capability with reduced data storage requirements.
Data Source
AI summary
Electric vehicle efficiency profile management may include storing user-specific efficiency information associated with an electric vehicle and a current user of a portable electronic computing and communication device in response to detecting, by the portable electronic computing and communication device, a direct electronic communication link with an electric vehicle, and, in response to detecting, by the portable electronic computing and communication device, a disconnection of the direct electronic communication link, determining a current efficiency value, and storing a user-specific efficiency profile incorporating the current efficiency value.