GoodSam
Well-known member
240702 Tracking Charging Metrics for Ford F-150 Lightning
I asked Anthropic's ClaudeAI for an answer, but seems Teslafi (mentioned above) has figured it out and should be replicated for the Lightning EV:
https://claude.ai/chat/4302f321-538f-430a-b5d0-517adac89c94
what would be the easiest, yet automatic and complete, way to track charging costs, miles/kWhr, time of charge, charge rates, etc for a 2022 Ford F-150 Lightning electric vehicle? Could an App be made for a smartphone that could take in CarScanner OBD2 information automatically that would provide enough information? Charging at home uses a Tesla Gen 3 wall connector that does record charging history and rate, and DCFC systems like Electrify America or the newly available Tesla Superchargers may communicate as well.
To track charging costs, efficiency, and other metrics for a 2022 Ford F-150 Lightning, a smartphone app integrating various data sources would likely be the easiest and most comprehensive solution. Here's an overview of how this could work:
OBD2 Data: An app could indeed use data from an OBD2 scanner to collect important information. The Ford F-150 Lightning supports OBD2, which can provide:
Odometer readings
Battery state of charge
Energy consumption
Charging Data:
Home charging: The Tesla Gen 3 wall connector's charging history could be integrated into the app via its API or by manually inputting the data.
Public charging: Many networks like Electrify America have APIs that apps can use to gather charging session data. For Tesla Superchargers, the data might be available through the Tesla account associated with the charging.
Additional Data Sources:
GPS for location tracking
User input for electricity rates at home
Integration with platforms like PlugShare for charging station information
App Features: The app could automatically:
Calculate miles/kWh based on OBD2 data
Track charging costs by combining charging data with user-input or location-based electricity rates
Record charging times and rates
Provide insights on efficiency, cost per mile, etc.
Technical Considerations:
The app would need Bluetooth connectivity for the OBD2 scanner
API integrations for various charging networks
Secure data storage and processing
While an OBD2 scanner would provide valuable data, it might not capture everything. Some limitations could include:
Detailed charging data might still need to come from external sources
The app might need to estimate some values based on available data
An app like this is certainly feasible, though it would require significant development effort to integrate all these data sources seamlessly. Some existing apps like "A Better Routeplanner" or "Optiwatt" offer similar functionality, but a custom solution could be tailored specifically for the F-150 Lightning.
Would you like me to elaborate on any specific aspect of this potential app or the data collection process?
How is an App made that would accomplish these functions?
Creating an app to accomplish these functions involves several steps and components. Here's a high-level overview of the app development process:
Planning and Design:
Define the app's features and user interface
Create wireframes and mockups
Plan the app's architecture and data flow
Choose Development Platform:
Native development: iOS (Swift) and/or Android (Kotlin/Java)
Cross-platform: React Native, Flutter, or Xamarin for both iOS and Android
Consider factors like performance needs and developer expertise
Backend Development:
Set up a server to handle data processing and storage
Choose a database (e.g., PostgreSQL, MongoDB)
Implement API endpoints for data exchange between app and server
Frontend Development:
Build the user interface
Implement data visualization (charts, graphs)
Ensure responsive design for various screen sizes
Data Integration:
Implement OBD2 data collection via Bluetooth
Integrate APIs for charging networks (Electrify America, Tesla, etc.)
Develop algorithms for data analysis and calculations
Key Features to Implement:
User authentication and data security
Real-time data sync between device and server
Background data collection and processing
Push notifications for alerts or reports
Testing:
Unit testing of individual components
Integration testing of the entire system
User acceptance testing
Deployment:
Publish to app stores (Apple App Store, Google Play Store)
Set up monitoring and crash reporting tools
Maintenance and Updates:
Regular updates for bug fixes and new features
Ongoing support for users
Key Technologies and Libraries:
OBD2 Communication:
Libraries like python-OBD or OBD-II-PLX for handling OBD2 data
Bluetooth Low Energy (BLE):
Core Bluetooth framework (iOS)
Android Bluetooth Low Energy API
Data Visualization:
Charts libraries like MPAndroidChart (Android) or Charts (iOS)
API Integration:
Networking libraries like Alamofire (iOS) or Retrofit (Android)
Database:
Core Data (iOS) or Room (Android) for local storage
Firebase or AWS for cloud storage and real-time sync
Location Services:
Core Location (iOS) or Google Location Services (Android)
Development Challenges:
Ensuring accurate data collection from multiple sources
Managing battery consumption due to constant background processes
Handling offline functionality and data syncing
Ensuring data privacy and security
Dealing with variations in OBD2 data across different vehicle models
This is a complex project that would require a team of developers with expertise in mobile development, backend systems, data analysis, and automotive systems. The development time could range from several months to a year, depending on the scope and complexity of features.
Would you like me to elaborate on any specific aspect of the app development process?
Claude can make mistakes. Please double-check responses.
I asked Anthropic's ClaudeAI for an answer, but seems Teslafi (mentioned above) has figured it out and should be replicated for the Lightning EV:
https://claude.ai/chat/4302f321-538f-430a-b5d0-517adac89c94
what would be the easiest, yet automatic and complete, way to track charging costs, miles/kWhr, time of charge, charge rates, etc for a 2022 Ford F-150 Lightning electric vehicle? Could an App be made for a smartphone that could take in CarScanner OBD2 information automatically that would provide enough information? Charging at home uses a Tesla Gen 3 wall connector that does record charging history and rate, and DCFC systems like Electrify America or the newly available Tesla Superchargers may communicate as well.
To track charging costs, efficiency, and other metrics for a 2022 Ford F-150 Lightning, a smartphone app integrating various data sources would likely be the easiest and most comprehensive solution. Here's an overview of how this could work:
OBD2 Data: An app could indeed use data from an OBD2 scanner to collect important information. The Ford F-150 Lightning supports OBD2, which can provide:
Odometer readings
Battery state of charge
Energy consumption
Charging Data:
Home charging: The Tesla Gen 3 wall connector's charging history could be integrated into the app via its API or by manually inputting the data.
Public charging: Many networks like Electrify America have APIs that apps can use to gather charging session data. For Tesla Superchargers, the data might be available through the Tesla account associated with the charging.
Additional Data Sources:
GPS for location tracking
User input for electricity rates at home
Integration with platforms like PlugShare for charging station information
App Features: The app could automatically:
Calculate miles/kWh based on OBD2 data
Track charging costs by combining charging data with user-input or location-based electricity rates
Record charging times and rates
Provide insights on efficiency, cost per mile, etc.
Technical Considerations:
The app would need Bluetooth connectivity for the OBD2 scanner
API integrations for various charging networks
Secure data storage and processing
While an OBD2 scanner would provide valuable data, it might not capture everything. Some limitations could include:
Detailed charging data might still need to come from external sources
The app might need to estimate some values based on available data
An app like this is certainly feasible, though it would require significant development effort to integrate all these data sources seamlessly. Some existing apps like "A Better Routeplanner" or "Optiwatt" offer similar functionality, but a custom solution could be tailored specifically for the F-150 Lightning.
Would you like me to elaborate on any specific aspect of this potential app or the data collection process?
How is an App made that would accomplish these functions?
Creating an app to accomplish these functions involves several steps and components. Here's a high-level overview of the app development process:
Planning and Design:
Define the app's features and user interface
Create wireframes and mockups
Plan the app's architecture and data flow
Choose Development Platform:
Native development: iOS (Swift) and/or Android (Kotlin/Java)
Cross-platform: React Native, Flutter, or Xamarin for both iOS and Android
Consider factors like performance needs and developer expertise
Backend Development:
Set up a server to handle data processing and storage
Choose a database (e.g., PostgreSQL, MongoDB)
Implement API endpoints for data exchange between app and server
Frontend Development:
Build the user interface
Implement data visualization (charts, graphs)
Ensure responsive design for various screen sizes
Data Integration:
Implement OBD2 data collection via Bluetooth
Integrate APIs for charging networks (Electrify America, Tesla, etc.)
Develop algorithms for data analysis and calculations
Key Features to Implement:
User authentication and data security
Real-time data sync between device and server
Background data collection and processing
Push notifications for alerts or reports
Testing:
Unit testing of individual components
Integration testing of the entire system
User acceptance testing
Deployment:
Publish to app stores (Apple App Store, Google Play Store)
Set up monitoring and crash reporting tools
Maintenance and Updates:
Regular updates for bug fixes and new features
Ongoing support for users
Key Technologies and Libraries:
OBD2 Communication:
Libraries like python-OBD or OBD-II-PLX for handling OBD2 data
Bluetooth Low Energy (BLE):
Core Bluetooth framework (iOS)
Android Bluetooth Low Energy API
Data Visualization:
Charts libraries like MPAndroidChart (Android) or Charts (iOS)
API Integration:
Networking libraries like Alamofire (iOS) or Retrofit (Android)
Database:
Core Data (iOS) or Room (Android) for local storage
Firebase or AWS for cloud storage and real-time sync
Location Services:
Core Location (iOS) or Google Location Services (Android)
Development Challenges:
Ensuring accurate data collection from multiple sources
Managing battery consumption due to constant background processes
Handling offline functionality and data syncing
Ensuring data privacy and security
Dealing with variations in OBD2 data across different vehicle models
This is a complex project that would require a team of developers with expertise in mobile development, backend systems, data analysis, and automotive systems. The development time could range from several months to a year, depending on the scope and complexity of features.
Would you like me to elaborate on any specific aspect of the app development process?
Claude can make mistakes. Please double-check responses.
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