Electric planes offer a promising alternative to traditional gas-powered aircraft. However, e-planes bring on new challenges including limited battery capacity and scarce knowledge of their performance in Canadian weather.
Our team is using data from the Pipistrel Velis Electro, the world’s first type certified electric plane. Our platform enables researchers to analyze flight data and create a battery management strategy for the optimal operation of the electric plane. Leveraging machine learning, ElectriFly optimizes flight schedules based on weather forecasts and improves flight planning by predicting battery consumption.
Data Visualizations
Gain comprehensive insights into plane and battery behaviours
Custom Graphs
Develop your own graphs and plot any variable including flight and weather data
Data Preview
Preview data at a glance of the most recent flight to ensure all data was uploaded correctly
Statistical Insights
Unlock valuable statistical insights to enhance flight operations efficiency
Flight Schedule
Determine the optimal flight times based on a simulation model derived from local weather forecasts
Flight Exercise Planning
Empower pilots’ confidence during flight by planning what exercises can be performed in the air
ElectriFly emerges from the visionary collaboration of five driven Management Engineering Students, whose shared passion for aviation fuels their pursuit of excellence in electric flight. With a profound belief in the transformative potential of electric aviation within Canadian airspace, this dynamic team combines their diverse expertise and unwavering dedication to shape the future of flight.
Their journey is marked by meticulous validation, as ElectriFly undergoes rigorous testing through pilot programs and consultation with esteemed subject matter experts. This commitment to thorough validation ensures that ElectriFly stands at the forefront of innovation, ready to propel electric aviation to new heights with confidence and precision.
Easily tailor your data viewing experience to suit your needs. Handpick the columns you want to see and effortlessly remove any you don't need by simply tapping the 'x' button. Dive into the lastest flight and weather data seamlessly!
Select the Download button to download the data based on the selected granularity, data type, and date.
Unlock the power of your data with our intuitive and powerful user interface designed specifically for data analytics. Select the flight dates that you’re interested in and our platform will transform raw data into actionable insights, enabling you to visualize trends and patterns.
Number of circuits
Aircraft Weight (lbs)
Ready to delve deeper into the data? We have you covered! Our custom graph tool empowers you to visualize and selectively explore the flight data that piques your interest, offering the flexibility to choose your preferred output mode—whether it's a dynamic scatterplot or a basic line plot.
Discover valuable insights into the heart of the e-plane — the battery. Explore how different aircraft maneuvers affect the battery’s state of charge through detailed statistical visualizations. Additionally, monitor the battery's health over time, enabling you to derive actionable insights and enhance your decision-making processes.
Our charging graph tool enables you to visualize and selectively explore charging data across multiple sessions. Whether you prefer a dynamic line graph or a detailed scatterplot, our tool empowers you to make informed decisions and optimize your charging strategy like never before!
Discover the best flying times for the next 72 hours with our flight scheduling tool. Using Waterloo's forecasted weather data, our tool categorizes each time slot into green, yellow, and red zones, indicating safety levels for flight. Hover over times for detailed safety explanations to inform your flight planning decisions. Happy flying!
🟩 = Safe for flight
🟨 = Potentially safe for flight
🟥 = Not safe for flight
Three Day Flight Forecast
Upcoming Flights for Today
Prepare your flight exercises with precision by customizing key attributes. Our innovative tool leverages a machine learning prediction engine to estimate battery level (SOC) throughout each exercise, as well as the total battery consumption by the end of your flight. Empower yourself with this data to make well-informed decisions for your flight planning.
The tool enables pilots to choose two input methods. Changing the method is controlled by the switch under the 'Flight Activity Selection' section to the left. Additionally, the date and time enable the tool to query forecasted weather data.