
During May 2026, contributed to the MTES-MCT/ecobalyse repository by developing a comprehensive data example that models an electric minibus quadricycle, enhancing the platform’s electric vehicle lifecycle analysis capabilities. The work involved detailed JSON manipulation and data modeling to represent a full component breakdown, country of assembly, and a defined energy consumption profile. By mapping components and materials across multiple countries, the contribution improved the accuracy of scenario analysis and emissions calculations. Collaboration with an external co-author reinforced data provenance, while the focus on API development and structured JSON payloads supported more robust downstream calculations for energy use and supply chain assessment.
May 2026 performance highlights for MTES-MCT/ecobalyse: Delivered a new data example that models an electric minibus quadricycle, expanding EV lifecycle analysis coverage. The "Minibus quadricycle à assistance électrique" example introduces a complete component breakdown, country of assembly, and a defined energy consumption profile, enabling more realistic scenario analyses and emissions calculations. The commit adds a detailed JSON payload with components and transforms across multiple origins (FR, DE, RAS, CN) and specifies a 1 kWh/100 km energy consumption model. This work was co-authored by Nicolas Planchenault, reinforcing external collaboration and data provenance. Overall, the change strengthens data fidelity for EV supply chains and supports downstream calculations for energy use and emissions.
May 2026 performance highlights for MTES-MCT/ecobalyse: Delivered a new data example that models an electric minibus quadricycle, expanding EV lifecycle analysis coverage. The "Minibus quadricycle à assistance électrique" example introduces a complete component breakdown, country of assembly, and a defined energy consumption profile, enabling more realistic scenario analyses and emissions calculations. The commit adds a detailed JSON payload with components and transforms across multiple origins (FR, DE, RAS, CN) and specifies a 1 kWh/100 km energy consumption model. This work was co-authored by Nicolas Planchenault, reinforcing external collaboration and data provenance. Overall, the change strengthens data fidelity for EV supply chains and supports downstream calculations for energy use and emissions.

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