Resilience by Design: A KPI for Heavy-Duty Megawatt Charging

2026-01-11

arXiv.org

AI Summary

This study addresses the current lack of a unified metric for evaluating the resilience of heavy-duty, megawatt-scale charging stations under diverse disturbances. The authors propose a disturbance-agnostic Resilience Key Performance Indicator (KPI) that integrates multidimensional heterogeneous data—including infrastructure status, grid capacity, vehicle geometry, and environmental protection—within the DATEX II framework. This approach yields a normalized, auditable scoring model on a 0–100 scale, quantifying a station’s capabilities in degraded operation, disturbance resistance, and recovery. The KPI enables standardized, cross-site and cross-vendor resilience assessments and supports granular diagnostic breakdowns by disturbance type. The resulting metric facilitates monthly or quarterly resilience evaluations, thereby informing design optimization, operational decision-making, and cost-benefit analyses of mitigation strategies.

Technology Category

• Planning, Routing, and Scheduling: Plan Execution and Monitoring
• Search and Optimization: Distributed Search
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Security and Privacy: Large-scale security measurements
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

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, on-site flexibility, heavy-vehicle geometry, environmental hardening, maintenance, and market exposure, are essential for a complete resilience picture and will require extensions or complementary data sources. The KPI is designed for monthly/quarterly reporting to support design and operational decisions and cost-benefit assessment of mitigations (e.g., backup power, spares, procedures). It offers a consistent, transparent methodology that consolidates heterogeneous logs and KPIs into a single, auditable indicator, making resilience comparable across sites, vendors, and jurisdictions.

Problem

• Resilience
• Megawatt Charging
• Heavy-Duty Vehicles
• Key Performance Indicator
• Disruption Recovery

Innovation

• Resilience KPI
• Megawatt Charging
• Heavy-Duty Vehicles
• Stressor-Agnostic
• Infrastructure Resilience