Dynamic Distance to Empty Estimation for Plug-in Hybrid Vehicles
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Solution Overview
Problem
Conventional plug-in hybrid electric vehicles inaccurately estimate the distance to empty (DTE) due to varying battery efficiency with driving speed and air conditioning output, leading to confusion for drivers, as the estimation does not account for different driving conditions.
Innovation Solution
A vehicle system that determines and estimates DTE based on driving conditions, including location, traffic, energy consumption, and geographical features, using sensors and a controller to provide more accurate information through an output unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If DTE is estimated simply based on remaining battery energy, then the estimation method is simple, but the accuracy of DTE estimation deteriorates due to varying battery efficiency with driving speed and air conditioning output
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the DTE estimation based on multiple varying parameters including driving speed, air conditioning output, battery temperature, and charging/discharging rates. Instead of using a fixed estimation method, the system modifies the estimation parameters according to real-time operating conditions, thereby improving accuracy while maintaining reasonable system complexity
Solution Approach 2:
The patent implements dynamics by transitioning from a static DTE estimation approach to a dynamic one that continuously adapts to changing driving conditions. The system monitors real-time parameters such as driving speed, air conditioning load, and battery state of charge, and dynamically adjusts the DTE calculation to reflect current operational efficiency, resolving the contradiction between simplicity and accuracy
2Device complexity
If DTE is estimated without considering driving conditions, then the estimation process is simple, but the practical accuracy deteriorates because the vehicle operates under many different driving conditions
Solution Approach 1:
The patent changes the estimation parameters based on detected driving conditions such as urban, suburban, or highway driving modes. The system adjusts efficiency parameters and consumption rates according to the specific driving condition, making the DTE estimation reliable across diverse operating scenarios without requiring an overly complex process
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring actual driving conditions and comparing them with the DTE estimation. The system uses sensor data from the driving condition detection unit to provide feedback to the DTE calculation unit, allowing real-time adjustments that improve reliability while keeping the overall process manageable through structured feedback loops
Data Source
AI summary
The present disclosure provides a vehicle and method for controlling the same, by which a driving condition of the vehicle is determined and the distance to empty (DTE) of the vehicle is estimated based on the driving condition, thereby providing the driver with more accurate and practical DTE. The vehicle includes a power source that supplies power to a vehicle and a sensor that detects a driving condition of the vehicle. A controller estimates the DTE of the vehicle based on the detected driving condition and the power, and outputs the DTE of the vehicle through an output unit.