Vehicle Driving Range Prediction Using Driver Profile and Map Data
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Solution Overview
Problem
Existing vehicle systems for predicting driving range and fuel economy are inaccurate due to variations in driver behavior, route conditions, and vehicle maintenance, leading to a lack of upfront information on expected fuel efficiency.
Innovation Solution
A system that includes an energy storage component, a power source, memory for storing map data and driver profiles, and an electronic control unit (ECU) to predict driving range and fuel economy based on historical data, route information, and driver behavior, providing output through an output device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional historical data-based fuel economy assessment is used, then the system is simple to implement, but the driving range prediction accuracy deteriorates due to variations in driver behavior, route conditions, and vehicle maintenance
Solution Approach 1:
The system performs preliminary actions by collecting and storing driver behavior data, route condition data, and vehicle maintenance data before calculating driving range. The ECU proactively gathers this information from various sensors and systems, then uses it to adjust fuel economy assessments before the driver needs the driving range information, thereby improving accuracy without requiring complex real-time calculations during operation
Solution Approach 2:
The patent introduces an intermediary calculation layer between the raw historical data and the final driving range prediction. The ECU acts as a mediator that processes multiple data sources (driver behavior patterns, route characteristics, maintenance status) and synthesizes them into an adjusted fuel economy assessment, which then feeds into the driving range calculation, improving accuracy while managing complexity through structured data processing
2Measurement precision
If real-time data collection and analysis is implemented, then the fuel economy prediction accuracy improves, but the computational load and processing time increase
Solution Approach 1:
The system performs preliminary data collection and analysis by continuously gathering driver behavior data, route condition data, and vehicle maintenance data during normal operation. This historical data is stored and processed in advance, so when driving range prediction is needed, the ECU can quickly retrieve pre-processed information rather than performing complex real-time analysis, thereby improving accuracy while minimizing processing time
Solution Approach 2:
The patent implements partial real-time processing by focusing computational resources on the most critical data elements that have the greatest impact on fuel economy assessment. The ECU prioritizes processing key variables such as current driver behavior patterns and immediate route conditions while using pre-stored historical data for less time-sensitive aspects, achieving high accuracy without requiring excessive computational time
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system offers increased accuracy in fuel economy and driving range calculations, incentivizing efficient driving habits, reducing trip costs, and minimizing environmental impact by providing real-time fuel efficiency feedback and suggestions for improvement.
Implementation Method 1
a power source designed to convert the at least one of electrical energy or fuel into mechanical power to propel the vehicle
Data Source
AI summary
A system for determining a driving range of a vehicle includes an energy storage component to store electrical energy or fuel. The system further includes a power source to convert the electrical energy or fuel into mechanical power to propel the vehicle. The system further includes a memory to store map data including road speeds, altitude data, road grades, or stop information corresponding to at least one of stop signs or stop lights, and a first driver profile corresponding to driving behavior of a first driver. The system further includes an electronic control unit (ECU) designed to predict the driving range of the vehicle based on an amount of the at least one of the electrical energy or fuel remaining in the energy storage component, the map data, and the first driver profile. The system further includes an output device designed to output the driving range of the vehicle.