Connected EV CAN Data Monitoring for Alerts and Charging Actions
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Solution Overview
Problem
Many individuals find electric vehicles confusing or inaccessible, hindering their adoption.
Innovation Solution
A connected vehicle system that collects data from an electric vehicle's controller area network (CAN) using a remote device, processes this data, and performs actions such as generating alerts for potential failures, scheduling charging, and optimizing charging protocols based on vehicle states and driver behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electric vehicles are equipped with advanced data collection and processing systems, then user understanding and accessibility are enhanced, but device complexity increases
Solution Approach 1:
The patent introduces a remote device as an intermediary between the vehicle's controller area network and the user. This mediator collects data from the CAN bus, processes it, and presents simplified information to the user, thereby enhancing accessibility without exposing the user to the underlying system complexity.
Solution Approach 2:
The system creates simplified copies or representations of complex vehicle data. Instead of presenting raw CAN bus data, the system generates user-friendly visualizations and alerts that copy only the essential information needed for user understanding and decision-making.
2Reliability
If real-time data collection from controller area network is implemented, then vehicle monitoring capability is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and pre-processing data from the controller area network in the background. Critical parameters are identified and prepared in advance, so when events occur, the system can respond immediately without delays associated with real-time analysis.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors vehicle data, compares it against predefined thresholds and patterns, and provides immediate feedback through alerts or notifications. This closed-loop approach ensures reliable monitoring while minimizing processing delays through automated decision rules.
Data Source
AI summary
Systems and methods for collecting data from electric vehicles, and performing various different actions based on the collected data, are described. In some embodiments, a device, such as a remote device that communicates with a server, connects with a controller area network (CAN) of an electric vehicle, and collects data from the CAN and/or other types of data associated with the electric vehicle (e.g., geographical information that identifies a location of an electric vehicle, movement information that identifies whether the electric vehicle is in motion or not, and so on). The systems and methods may perform various actions using some or all of the collected data.