EV Telematics Carbon Tracking for Charging Source Emissions
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Solution Overview
Problem
There is a need to help electric vehicle owners track the greenhouse emissions of their vehicles during operation and select electricity sources with lower emissions to maximize the reduction of greenhouse emissions throughout the vehicle's life compared to gas-powered vehicles.
Innovation Solution
A telematics system that determines the overall carbon footprint of electric vehicles by tracking telematics data, including charging station information and electricity usage, to calculate greenhouse emissions and provide a sustainability score compared to gas-powered vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If electric vehicles are charged using dirty electricity sources, then greenhouse emissions during operation increase to match gas-powered vehicles, but the vehicle still provides operational emission reduction potential
Solution Approach 1:
The system provides real-time feedback to users about the carbon intensity of available charging sources and the impact of their charging decisions, enabling them to make informed choices that optimize emission reduction while maintaining charging flexibility
Solution Approach 2:
The system changes the parameter of user awareness by providing dynamic information about charging source emissions, transforming the charging decision from a simple availability-based choice to an optimization-based decision that considers environmental impact
2Loss of information
If comprehensive tracking of greenhouse emissions is implemented, then users can make informed decisions about charging sources, but the system complexity increases
Solution Approach 1:
The system extracts only the essential emission data needed for user decision-making from complex telematics sources, focusing on charging source identification and emissions calculation while filtering out unnecessary technical details
Solution Approach 2:
The system creates simplified representations of complex emission data through sustainability scores and visual indicators that convey environmental impact information in an easily digestible format without requiring users to understand the underlying computational complexity
Data Source
AI summary
A telematics computing system including at least one memory, and at least one processor is disclosed. The at least one processor is configured to receive information corresponding to a charging station where an electric vehicle is charged, receive greenhouse emissions information corresponding to a unit of electricity provided by the charging station for charging the electric vehicle, determine a total number of units of electricity outputted for charging the electric vehicle, determine a number of units of electricity stored in the battery consumed for operating the electric vehicle, determine an amount of greenhouse emissions by the electric vehicle for a predetermined criterion, determine a sustainability score for the electric vehicle wherein the sustainability score represents the greenhouse emissions of the electric vehicle in comparison to a gas-powered vehicle for a current lifetime of the electric vehicle, and cause display of the sustainability score for the electric vehicle.