AWD Eco-Vehicle DTE Prediction Using Disconnector Engagement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for calculating Distance To Empty (DTE) in eco-friendly vehicles, especially All Wheel Drive (AWD) vehicles, do not accurately account for changes in fuel efficiency based on 2-wheel drive (2WD) or 4-wheel drive (4WD) operation, leading to significant differences between actual and calculated DTE.
Innovation Solution
An eco-friendly vehicle system that includes a processor to predict DTE by estimating the engaging frequency of a disconnector based on driving route information, considering vehicle speed, wheel torque, road slope, road curvature, and temperature, and calculates energy consumption to provide accurate DTE considering motor efficiencies and battery levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional DTE calculation methods are used that do not consider disconnector operation, then the calculation is simple, but the accuracy of DTE is poor
Solution Approach 1:
The system performs preliminary estimation of disconnector engaging frequency based on driving route information before calculating DTE. The processor estimates how often the disconnector will engage during the remaining driving distance, then uses this estimation to calculate energy consumption and DTE. This preliminary action allows the system to account for 4WD/2WD mode changes without requiring real-time monitoring of every disconnector operation, thereby improving accuracy while managing complexity.
Solution Approach 2:
The system dynamically adjusts DTE calculation by considering varying driving conditions along the route. Instead of using a fixed calculation method, the processor estimates disconnector engaging frequency based on dynamic factors such as road slope, curvature, and vehicle speed variations. This dynamic approach allows the DTE calculation to adapt to changing driving conditions, improving accuracy without requiring overly complex real-time monitoring systems.
2Measurement precision
If DTE calculation considers driving route and air conditioning operation, then the calculation is more comprehensive, but the difference between real DTE and calculated DTE remains significant
Solution Approach 1:
The system estimates disconnector engaging frequency in advance based on the driving route before performing the final DTE calculation. This preliminary estimation of 4WD/2WD mode changes allows the system to incorporate fuel efficiency variations into the energy consumption calculation, improving accuracy beyond what simple route and air conditioning considerations can achieve.
Solution Approach 2:
The system changes the calculation parameters by introducing disconnector engaging frequency as a new variable. Instead of only considering route distance and air conditioning load, the calculation now incorporates the estimated frequency of 4WD/2WD mode switches, which directly affects fuel efficiency. This parameter change enables more accurate DTE prediction while maintaining a manageable calculation complexity.
3Measurement precision
If the system estimates disconnector engaging frequency based on multiple driving conditions, then the DTE accuracy improves, but the calculation complexity increases
Solution Approach 1:
The system performs preliminary estimation of disconnector engaging frequency by evaluating multiple driving conditions (road slope, curvature, vehicle speed) along the entire route before calculating DTE. This advance estimation consolidates the complexity of analyzing multiple parameters into a single frequency value that is then used in the energy consumption calculation, improving accuracy while preventing excessive calculation complexity.
Solution Approach 2:
The system considers multiple driving conditions (road slope, curvature, vehicle speed, temperature) when estimating disconnector engaging frequency, which is more comprehensive than necessary for basic DTE calculation. However, this excessive consideration of parameters improves accuracy by capturing the complex interactions between driving conditions and disconnector operation, while the results are consolidated into a manageable engaging frequency metric.
Data Source
AI summary
An eco-friendly vehicle and method for providing distance to empty thereof are provided. The vehicle includes a processor that predicts a distance to empty (DTE) based on a driving route received from a navigation terminal to output the DTE to an output device. The processor is configured to estimate an engaging frequency of a disconnector based on the driving route and to calculate the DTE based on the engaging frequency of the disconnector.