Electric Driving Range Calculator Using Simplified Empirical Inputs
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Solution Overview
Problem
Current methods for calculating the driving range of electric vehicles in electric-only mode are complex and require detailed information about driving behavior, geographic location, and other factors, making them impractical for everyday use, especially for untrained operators.
Innovation Solution
A simplified empirical methodology using Design For Six Sigma and analysis of variance (ANOVA) to estimate driving range based on trip distance, average speed, and geographic location, integrated into a graphical user interface (GUI) that can be used on smartphones or in vehicles, reducing the need for sophisticated energy modeling and complex input data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex modeling simulation tools are used to calculate driving range, then measurement precision is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The patent extracts only the most critical factors (battery capacity, driving conditions, environmental conditions) from the complex modeling simulation, eliminating unnecessary complexity while retaining sufficient accuracy for practical use. This allows untrained operators to perform calculations without needing extensive training on complex models.
Solution Approach 2:
The patent replaces expensive, complex modeling simulation tools with a simpler, more accessible calculation method that can be implemented in consumer electronics devices. This makes the calculation tool widely available and easy to use without requiring high-powered computers or specialized software.
2Measurement precision
If detailed input data is collected for accurate driving range calculation, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent creates a universal calculation method that can handle multiple driving scenarios and conditions through a single standardized input form. The same basic inputs (battery capacity, driving conditions, environmental conditions) work across different situations, eliminating the need for users to select from multiple complex models or provide highly specialized data for each scenario.
Solution Approach 2:
The patent changes the parameters from detailed, specialized measurements to more general, easily obtainable inputs. Instead of requiring extensive data about driving behavior patterns, geographic location specifics, and vehicle configuration details, the system uses broader categories that are simpler for users to provide while still capturing the essential variables needed for accurate calculation.
3Measurement precision
If high-powered computers are used to run complex software, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces the mechanical system of complex modeling simulation requiring high-powered computers with a simplified calculation approach that can run on standard consumer electronics. This substitution maintains sufficient calculation accuracy while dramatically reducing the computing resources needed, making the tool accessible in smartphones, tablets, or basic laptops.
Data Source
AI summary
A method of and device for determining driving range for a vehicle operating with a rechargeable energy storage supply. The method includes performing a calculation based on a limited number of input parameters, including a driving distance, average speed, location and time of day. Other determinations, such as the possibility of using a battery power-depleting climate control system, as well as battery capacity and climate data for various seasonal and location factors may also be used in the calculations.