Electric Vehicle Driving Information System with Personalized Path Calculation
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Solution Overview
Problem
Current driving information services for electric vehicles do not provide an optimum path based on individual driver habits, leading to inefficient battery consumption, as they offer the same paths to all vehicles regardless of driving patterns, resulting in inaccurate and unrealistic drivable distance predictions.
Innovation Solution
A system and method that collect driver information, internal vehicle state, and external environment data to calculate a driving pattern, which is used to determine candidate paths with minimal drivable distance decrement, including an optimum path with reduced battery consumption, by a telematics terminal and server that accumulate and analyze this data to provide personalized route suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the same path is provided to all vehicles regardless of driving habits, then the path calculation system is simple and easy to operate, but the battery consumption cannot be minimized for individual drivers
Solution Approach 1:
The system performs preliminary actions by collecting and storing driving habit data from multiple drivers in advance, then uses this pre-collected data to calculate personalized paths that minimize battery consumption for each driver's specific driving patterns
Solution Approach 2:
The system changes the path recommendation by considering individual driver parameters such as acceleration patterns, braking habits, and speed preferences, thereby optimizing battery consumption for each driver's unique characteristics
2Measurement precision
If driving habits of multiple drivers are established into a database to calculate driving paths, then more accurate and realistic drivable distance prediction is achieved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the database into multiple driver profiles, each containing specific driving habit data, and segments the path calculation process into steps that individually evaluate each driver's characteristics to determine optimal routes
Solution Approach 2:
The system uses feedback from actual driving data collected from multiple drivers to continuously improve the accuracy of drivable distance predictions by comparing predicted versus actual battery consumption across different driver profiles
Data Source
AI summary
A system for providing driving information of an electric includes a telematics terminal configured to collect driver information, internal state information, and external environment information, and transmitting the collected driver information, internal state information, and external environment information. A path information server is configured to transmit road information and traffic information to the outside. A telematics server is configured to accumulate information received from the telematics terminal and the path information server, calculate a driving pattern of a first driver based on the accumulated information, calculate one or more candidate paths based on the driving pattern, and transmit the calculated one or more candidate paths to the telematics terminal.