Vehicle Range Deviation Determination System
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Solution Overview
Problem
Current vehicles lack effective methods to accurately assess and provide improved energy performance metrics, such as range and fuel economy, which are influenced by various factors including driver behavior, terrain, climate, and environmental conditions.
Innovation Solution
A system comprising a sensor unit and a processor within a vehicle to obtain inputs from various sensors, such as accelerometers, energy sensors, and location sensors, to determine changes in expected range and fuel economy based on these factors, providing real-time feedback to the driver through a display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If basic energy performance indication is provided, then vehicle energy information is available, but measurement precision and accuracy of energy performance metrics are insufficient
Solution Approach 1:
The system segments energy performance measurement into multiple independent factors (driver behavior, terrain, climate, environmental conditions) that can be measured and analyzed separately. Each factor is assessed through dedicated sensor inputs and processing, allowing precise measurement of individual contributions to overall energy performance while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The processor performs multiple functions by analyzing various sensor inputs (accelerometers, energy sensors, location sensors) to determine changes in expected range and fuel economy. This multi-functional approach consolidates measurement tasks into a single processing unit, improving measurement precision across multiple energy performance metrics without proportionally increasing device complexity.
2Reliability
If comprehensive sensor inputs are collected, then energy performance assessment accuracy is improved, but device complexity increases
Solution Approach 1:
A single processor handles multiple sensor inputs (accelerometers, energy sensors, location sensors) and performs comprehensive analysis of various factors affecting energy performance. This multi-functional processing approach improves assessment reliability by integrating diverse data sources while avoiding the complexity of multiple separate processing systems.
Solution Approach 2:
The system automatically collects and processes sensor data without requiring external intervention. The processor independently analyzes sensor inputs from accelerometers, energy sensors, and location sensors to determine changes in expected range and fuel economy, improving reliability through automated continuous monitoring while keeping the system self-contained.
3Productivity
If real-time feedback is provided, then driver optimization capability is improved, but energy consumption for processing and display increases
Solution Approach 1:
The system provides real-time feedback to the driver through display about changes in expected range and fuel economy based on analyzed factors. This feedback mechanism enables drivers to optimize their behavior by understanding the impact of their actions on energy performance, improving productivity through informed decision-making while the processor efficiently manages the energy required for continuous analysis and display updates.
Data Source
AI summary
Methods and systems for determining deviations is expected range, expected fuel economy, or both, for a vehicle. In accordance with one embodiment, a system includes a sensor unit and a processor. The sensor unit is configured to at least facilitate obtaining inputs for one or more factors having an effect on energy performance and/or fuel efficiency for a vehicle. The processor is coupled to the sensor unit, and is configured to at least facilitate determining a change in expected range for the vehicle from the one or more factors based on the inputs.