EV Range Optimization System with Dynamic Feedback
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Solution Overview
Problem
Electric vehicle (EV) sales are hindered by consumer concerns over limited driving range, largely due to a lack of understanding about the impact of ambient temperature, driving style, and vehicle usage on range, necessitating a system that optimizes and communicates range information to drivers.
Innovation Solution
A method that monitors the battery pack charge level, determines current driving range based on predefined rules, accounts for battery drain from the electric drive train and user-controllable auxiliary systems, and provides real-time feedback and suggestions to drivers through a user interface to optimize range, including adjusting vehicle conditions such as speed and HVAC settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time monitoring and feedback system is implemented to provide range optimization information, then driver understanding of range impacts is enhanced and driving range can be optimized, but device complexity and cost increase
Solution Approach 1:
The system continuously monitors battery charge level, calculates current driving range based on predefined rules, determines battery drain from drive train and auxiliary systems, modifies driving range predictions in real-time, and provides feedback to the driver through display or audio system. This closed-loop feedback mechanism enables drivers to understand and adjust their driving behavior to optimize range.
Solution Approach 2:
The system introduces an intermediary processing layer that collects data from multiple sources (battery management system, drive train, auxiliary systems), processes this information through predefined rules and calculations, and presents simplified recommendations to the driver. This intermediary layer manages complexity by handling data integration and analysis internally while presenting simplified information externally.
2Productivity
If the system provides detailed real-time feedback and suggestions to drivers, then driving range optimization is improved, but ease of operation decreases due to increased information processing requirements
Solution Approach 1:
The system performs automated calculations of battery drain from drive train and auxiliary systems, automatically modifies driving range predictions based on current conditions, and generates optimization suggestions without requiring manual input from the driver. The system serves itself by continuously monitoring and adjusting range information based on sensor data and predefined rules.
Solution Approach 2:
The system pre-calculates the impact of auxiliary system operation on battery drain using predefined rules, and prepares optimization suggestions in advance before the driver needs them. By performing these calculations preliminarily based on current system state, the reduction in ease of operation is minimized while maintaining high productivity.
3Measurement precision
If the system monitors and accounts for battery drain from multiple sources including auxiliary systems, then measurement precision of driving range is improved, but device complexity increases
Solution Approach 1:
The system segments battery drain into distinct components: drive train battery drain and auxiliary system battery drain. Each component is monitored and calculated separately using specific predefined rules, allowing for precise measurement of total driving range while managing complexity through modular calculation approaches.
Solution Approach 2:
The system uses a unified set of predefined rules to calculate battery drain from multiple different sources (drive train and various auxiliary systems). This universal calculation approach maintains measurement precision across different drain sources while avoiding the need for separate complex monitoring systems for each component.
Data Source
AI summary
A method is provided that aids the driver of an electric vehicle (EV) in optimizing their car's driving range by allowing the driver to request range optimization help from the EV's control system. In response to the request, the system provides the driver with one or more recommendations as to how to increase vehicle range, recommendations such as lowering top speed, altering the temperature settings of the car's HVAC system, etc. Additionally, the system provides the driver with real time driving range feedback, thereby helping the driver to evaluate the various recommendations and determine which approach is best suited to the current conditions.