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Dodi1968

PROFILE

Dodi1968

Daniel Disse contributed to the evcc-io/evcc repository by developing and refining backend features for electric vehicle charger integration, focusing on the Kathrein charger. He implemented RFID-based user identification, enhanced session analytics, and introduced a VehiclePosition API for geolocation, using Go and YAML for robust backend and API development. Daniel addressed critical bugs affecting charge duration accuracy and session state consistency, applying careful debugging and hardware integration skills. His work improved device reliability, data accuracy, and user experience by refining data paths, strengthening access control, and ensuring seamless hardware-software interaction, demonstrating depth in embedded systems and backend engineering within a complex codebase.

Overall Statistics

Feature vs Bugs

43%Features

Repository Contributions

7Total
Bugs
4
Commits
7
Features
3
Lines of code
175
Activity Months7

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026: Delivered the VehiclePosition API enhancement for evcc to retrieve the vehicle's current latitude and longitude, enabling precise navigation and location-based features. The work focused on a focused feature with a clean API surface and traceable commit, aligning with product goals for improved geolocation capabilities and user workflow efficiency.

February 2026

1 Commits

Feb 1, 2026

February 2026: Implemented a critical bug fix in evcc to ensure Vehicle Identifier Session Consistency. The session now reliably mirrors the current vehicle identifier, improving data accuracy, session reliability, and the user experience across charging sessions. This fix supports accurate vehicle data for automation and analytics, and reduces potential user confusion related to stale identifiers. Commit reference: b0834f28b0d6ce698c99aaaa6910a59d697f59a6 (Loadpoint: update vehicle identifier in session (#27605)).

December 2025

1 Commits

Dec 1, 2025

December 2025: Focused on reliability and data accuracy for the Kathrein charger integration. Delivered a fix for the ChargeDuration calculation that previously produced incorrect charge duration estimates, ensuring more accurate session analytics and billing/usage data. The patch was implemented in commit d92ee4f15739d7876063ccedb59298d4b6687bd5 with the message "Kathrein: remove incorrect charge duration (#25934)". This enhancement reduces edge-case errors, increases user trust in Kathrein charger readings, and strengthens overall stability of the evcc integration.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025: Delivered RFID Identification Reliability Enhancement for Kathrein Charger in evcc-io/evcc. By tightening the RFID data path—reading only the essential registers and applying robust string parsing—the device identification workflow became more reliable, reducing misidentifications and smoothing onboarding across Kathrein chargers. The work was tracked under commit bc6a7efda293d42a09c6d75c05e945d256a66233 (Kathrein: fix RFID (part 2) (#23758)) and contributes to increased charging availability and customer trust.

August 2025

1 Commits • 1 Features

Aug 1, 2025

Month: 2025-08

June 2025

1 Commits

Jun 1, 2025

June 2025 focused on stabilizing and enhancing the Kathrein charger integration within evcc-io/evcc. Delivered precise charge duration data type handling, refactored phase switching for reliability, and improved diagnostics output to surface register values for faster debugging. Result: more accurate charge session data, fewer integration surprises, and quicker issue resolution for charger-related faults.

May 2025

1 Commits

May 1, 2025

May 2025 monthly summary for evcc-io/evcc focusing on delivering a targeted bug fix and energy-unit correction for Kathrein charger, with improvements to EMS-Control gating and phase switching logic. This work enhances reliability and energy accounting, reducing charging interruptions and enabling accurate billing.

Activity

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Quality Metrics

Correctness87.2%
Maintainability82.8%
Architecture78.6%
Performance74.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

Goyaml

Technical Skills

API DevelopmentBackend DevelopmentDebuggingDevice ControlEmbedded SystemsGoHardware Integrationbackend development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

evcc-io/evcc

May 2025 Mar 2026
7 Months active

Languages Used

Goyaml

Technical Skills

Device ControlEmbedded SystemsHardware IntegrationDebuggingAPI DevelopmentGo