
Michael Panzer contributed to the evcc-io/evcc repository by engineering backend features focused on scalable device management and reliable energy estimation. He refactored the LG ESS integration from a singleton to a map-based registry, enabling independent configuration and management of multiple LG ESS devices, which reduces cross-device configuration risks and supports scalable deployments. In a separate effort, he improved vehicle state of charge (SOC) estimation by ensuring a fresh estimator is initialized on every vehicle connection, addressing issues with stale state and enhancing charging session accuracy. His work leveraged Go, concurrency, and backend development principles to deliver robust, maintainable solutions.
February 2026: Focused on improving SOC estimation reliability during charging sessions by ensuring a fresh SOC estimator on every vehicle connection in evcc-io/evcc. The change reduces stale state issues and improves decision accuracy for energy management.
February 2026: Focused on improving SOC estimation reliability during charging sessions by ensuring a fresh SOC estimator on every vehicle connection in evcc-io/evcc. The change reduces stale state issues and improves decision accuracy for energy management.
Summary: In 2025-04, the team delivered LG ESS multi-instance support by refactoring the LG ESS integration from a singleton to a map-based, per-URI configuration registry. This enables independent management of multiple LG ESS devices and prepares evcc for scalable multi-device deployments, reducing cross-device configuration risk and improving operational efficiency.
Summary: In 2025-04, the team delivered LG ESS multi-instance support by refactoring the LG ESS integration from a singleton to a map-based, per-URI configuration registry. This enables independent management of multiple LG ESS devices and prepares evcc for scalable multi-device deployments, reducing cross-device configuration risk and improving operational efficiency.

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