Vehicle Weight-Aware Driving Distance Estimation
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Solution Overview
Problem
Electric vehicles face reduced accuracy in predicting the distance to empty due to changes in vehicle weight, particularly when loading cargo, as existing systems fail to account for weight changes in fuel efficiency calculations, leading to consumer dissatisfaction.
Innovation Solution
A vehicle system that includes a power supply, storage for power and fuel efficiency data, and a controller to determine driving power, current fuel efficiency, and estimated driving distance based on weight changes, using power matching data and fuel efficiency data to output accurate driving distance information to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the vehicle loads cargo or attaches a trailer, then the total weight of the vehicle increases, but the accuracy of predicting the distance to empty decreases
Solution Approach 1:
The system dynamically adjusts the fuel efficiency calculation based on real-time weight changes. When cargo is loaded or unloaded, the controller detects the weight change and updates the fuel efficiency value accordingly, transitioning from a static to a dynamic calculation approach that adapts to changing vehicle conditions
Solution Approach 2:
The system changes the fuel efficiency parameter based on vehicle weight. By establishing a relationship between weight and fuel efficiency, the controller selects appropriate fuel efficiency values from stored data corresponding to different weight ranges, thereby adjusting the prediction parameters to match actual vehicle conditions
2Device complexity
If the system reflects past fuel efficiency without considering cargo weight changes, then the calculation is simple, but the distance to empty accuracy is reduced
Solution Approach 1:
The system performs preliminary actions by pre-storing multiple fuel efficiency values corresponding to different weight conditions in the memory. This allows the controller to quickly retrieve and apply the appropriate fuel efficiency value without complex real-time calculations, maintaining simplicity while improving accuracy
Solution Approach 2:
The system implements feedback by continuously monitoring vehicle weight changes and adjusting the fuel efficiency calculation accordingly. The controller compares actual weight conditions with stored data and selects the most appropriate fuel efficiency value, creating a closed-loop system that adapts to changing conditions
Data Source
AI summary
A vehicle includes a power supply including a battery, a display, a storage configured to store a power matching data, and a fuel efficiency matching data, and a controller configured to determine driving power supplied by the battery, determine a current driving fuel efficiency corresponding to a reference weight based on the driving power and the power matching data, determine the current weight of the vehicle, determine a first fuel efficiency based on an accumulated driving fuel efficiency accumulated from a previous charging time point to a current charging time point and the current driving fuel efficiency at the current charging time point, determine a second fuel efficiency based on the fuel efficiency matching data and the first fuel efficiency corresponding to each of the existing weight and the current weight, determine the estimated driving distance of the vehicle based on the charging capacity of the battery and the second fuel efficiency, and output the estimated driving distance to the display.