
Leonardo Gonçalves developed a comprehensive digital twin for an electric vehicle powertrain in the verg1lio/XangoER repository, focusing on battery, motor, inverter, and vehicle dynamics modeling. He migrated the motor model from a legacy three-phase induction framework to a modern architecture, implementing inverse Park and Park transformations to enhance simulation fidelity and motor control accuracy. Using MATLAB and Python, Leonardo built a user interface that enables rapid parameter adjustments and simulation execution, streamlining scenario analysis. By removing obsolete code and reducing technical debt, he improved maintainability and set the foundation for future extensibility, demonstrating depth in control systems and data visualization.
2026-01 Monthly summary for verg1lio/XangoER: Delivered a comprehensive Digital Twin for the electric vehicle powertrain, including updated motor modeling and a user interface for parameter adjustments and simulation execution. Migrated from legacy motor modeling to a newer framework, removing a legacy three-phase induction motor class to reduce maintenance burden and enable future enhancements. Implemented inverse Park and Park transformations to improve motor control fidelity and simulation accuracy. UI supports rapid parameter tuning and execution of simulations, accelerating scenario analysis and validation.
2026-01 Monthly summary for verg1lio/XangoER: Delivered a comprehensive Digital Twin for the electric vehicle powertrain, including updated motor modeling and a user interface for parameter adjustments and simulation execution. Migrated from legacy motor modeling to a newer framework, removing a legacy three-phase induction motor class to reduce maintenance burden and enable future enhancements. Implemented inverse Park and Park transformations to improve motor control fidelity and simulation accuracy. UI supports rapid parameter tuning and execution of simulations, accelerating scenario analysis and validation.

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