Personalized Range Protection for Electrified Vehicles
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Solution Overview
Problem
Electrified vehicles face uncertainty in reaching desired destinations due to varying driving habits and environmental conditions, leading to inaccurate travel range estimates and potential stranded situations.
Innovation Solution
A vehicle system that includes a control module to refine travel range estimation by combining battery, driver, and telematics information, warning and coaching drivers, and adjusting vehicle subsystems to optimize energy use, such as reducing auxiliary power and maximizing regenerative braking, to ensure personalized range protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If nominal travel range estimation based on average driver habits is used, then the estimation method is simple, but the accuracy of travel range estimation deteriorates for individual drivers with different driving habits
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing driver behavior data over time before needing to provide range estimates. The battery management system continuously monitors driving patterns, environmental conditions, and energy consumption to build a personalized profile, so that when range estimation is needed, accurate personalized data is already available rather than relying on generic averages
Solution Approach 2:
The system implements feedback by continuously monitoring actual energy consumption against estimated consumption based on learned driver patterns. The system compares predicted energy usage with actual usage, refines its understanding of individual driver behavior, and adjusts future range estimates accordingly, creating a closed-loop system that improves accuracy over time
2Reliability
If driver behavior coaching and subsystem adjustments are implemented, then the ability to reach desired destinations is improved, but the system complexity increases
Solution Approach 1:
The battery management system performs multiple functions using a single integrated control architecture. It not only monitors battery state but also analyzes driver behavior, predicts energy consumption, provides range estimates, delivers coaching feedback, and coordinates with vehicle subsystems. This multi-functional approach consolidates what could be separate complex systems into one unified battery management platform
Solution Approach 2:
The system provides self-service by automatically analyzing driver patterns and generating personalized coaching feedback without requiring external intervention. The battery management system autonomously monitors its own performance, identifies inefficiencies related to driving behavior, and provides real-time guidance to the driver, enabling the system to improve its own effectiveness without additional complexity from external management systems
Data Source
AI summary
A method according to an exemplary aspect of the present disclosure includes, among other things, controlling a vehicle system to refine a travel range estimation of an electrified vehicle if a desired destination cannot be reached under current driving conditions. The controlling step includes warning a driver about a travel range based on the driver's driving habits, coaching the driver to modify the driving habits, and adjusting operation of at least one vehicle subsystem.