Resilience by Design: A KPI for Heavy-Duty Megawatt Charging
Sonia Yeh, Rishabh Ghotge, Yujia Shi, Luka de Koe

TL;DR
This paper proposes a comprehensive, normalized Resilience KPI for heavy-duty megawatt charging stations that assesses their ability to anticipate, operate under, and recover from disruptions, aiding design and operational decisions.
Contribution
It introduces a novel, stressor-agnostic resilience KPI framework for charging stations, enabling cross-site and cross-vendor benchmarking with diagnostic capabilities.
Findings
KPI normalizes resilience scores to 0-100 for fair comparison.
Includes optional stressor-specific diagnostics for robustness.
Supports monthly/quarterly resilience assessment for operational insights.
Abstract
We introduce a stressor-agnostic Resilience Key Performance Indicator (Resilience KPI) for megawatt charging stations (MSC) serving heavy-duty vehicles. Beyond routine performance statistics (e.g., availability, throughput), the KPI quantifies a site's ability to anticipate, operate under degradation, and recover from disruptions using observable signals already in the framework: ride-through capability, restoration speed, service under N-1, expected unserved charging energy, and queue impacts. The headline score is normalised to 0-100 for fair cross-site and cross-vendor benchmarking, with optional stressor-specific breakouts (grid, ICT, thermal, flooding, on-site incidents) for diagnostics and robustness checks. DATEX II provides a solid baseline for resilience KPIs centred on infrastructure inventory, status, and pricing, while additional KPIs, especially around grid capacity,…
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Taxonomy
TopicsElectric Vehicles and Infrastructure · Infrastructure Resilience and Vulnerability Analysis · Software System Performance and Reliability
