Summary
This contribution presents a comprehensive simulation of heavy-duty electric vehicle (HDEV) charging dynamics over a period of 10 years with historical day-ahead market spot price data from 2016 to 2025. The simulations utilise model predictive control. IESopt and TESCA, two tools, developed at AIT, Austrian Institute of Technology were combined. The study simulates electricity trading on the day-ahead market to evaluate the economic and technical viability of various charging strategies - including conventional charging, smart charging, and bidirectional
Read more Read lessVehicle-to-Grid (V2G). The impact of each charging strategy on electricity costs and battery degradation across different usage scenarios for HDEVs was analysed and compared.
A key approach of this study is its commitment to realistic operational constraints. All optimization strategies were executed using historical price data from the period 2016 to 2025.
The day-ahead market spot price of each day was introduced to the simulation model on daily simulation cycles. By doing so, perfect foresight and future-biased forecasts were avoided, because the model had no knowledge of the subsequent day-ahead prices. Economic calculations further incorporate critical real-world variables, including buy-sell spreads in dynamic tariffs and network charges for medium-voltage connections across multiple scenarios.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | C6_12018_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Austria |
| Study committees | |
| File size | 1 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
HINTEREGGER Alexander - AIT Austrian Institute of Technology; STAHLEDER Daniel - AIT Austrian Institute of Technology; LEDINGER Stephan - AIT Austrian Institute of Technology; KAPELLER Judith - AIT Austrian Institute of Technology; REISZ Petra - AIT Austrian Institute of Technology; HERNDLER Barbara - AIT Austrian Institute of Technology
Keywords
V2G, Simulation, Bidirectional Charging, Medium Voltage, Heavy Duty Electric Vehicle, Model Predictive Control
