Multi-Use Optimization of a Depot for Battery-Electric Heavy-Duty Trucks

Battery-electric trucks offer a high battery capacity and good predictability, making them attractive for the implementation of bidirectional charging strategies. Nevertheless, most of the previous charging strategy studies focus on electric passenger cars. These charging strategies are usually form...

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Main Authors: Florian Biedenbach, Kai Strunz
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:World Electric Vehicle Journal
Subjects:
Online Access:https://www.mdpi.com/2032-6653/15/3/84
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author Florian Biedenbach
Kai Strunz
author_facet Florian Biedenbach
Kai Strunz
author_sort Florian Biedenbach
collection DOAJ
description Battery-electric trucks offer a high battery capacity and good predictability, making them attractive for the implementation of bidirectional charging strategies. Nevertheless, most of the previous charging strategy studies focus on electric passenger cars. These charging strategies are usually formulated as separate use cases like tariff-optimized charging, arbitrage trading, peak shaving, and self-consumption optimization. By combining different use cases, their economic potential can be increased. In this paper, we introduce a model to optimize charging processes in depots for electric vehicles considering the combination of different use cases. This model is applied to a depot for battery-electric trucks. The savings obtained through optimized bidirectional charging highlight the enormous potential of this technology for the future, especially in the heavy-duty sector.
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spelling doaj.art-76fa405c567f49a8aac6d7aacc5c28792024-03-27T14:08:35ZengMDPI AGWorld Electric Vehicle Journal2032-66532024-02-011538410.3390/wevj15030084Multi-Use Optimization of a Depot for Battery-Electric Heavy-Duty TrucksFlorian Biedenbach0Kai Strunz1Forschungsstelle für Energiewirtschaft (FfE) e.V, 80995 Munich, GermanyChair of Sustainable Electric Networks and Sources of Energy (SENSE), School of Electrical Engineering and Computer Science, Technische Universität Berlin, 10587 Berlin, GermanyBattery-electric trucks offer a high battery capacity and good predictability, making them attractive for the implementation of bidirectional charging strategies. Nevertheless, most of the previous charging strategy studies focus on electric passenger cars. These charging strategies are usually formulated as separate use cases like tariff-optimized charging, arbitrage trading, peak shaving, and self-consumption optimization. By combining different use cases, their economic potential can be increased. In this paper, we introduce a model to optimize charging processes in depots for electric vehicles considering the combination of different use cases. This model is applied to a depot for battery-electric trucks. The savings obtained through optimized bidirectional charging highlight the enormous potential of this technology for the future, especially in the heavy-duty sector.https://www.mdpi.com/2032-6653/15/3/84bidirectional chargingsmart chargingvehicle to gridmodelingoptimizationelectric vehicles
spellingShingle Florian Biedenbach
Kai Strunz
Multi-Use Optimization of a Depot for Battery-Electric Heavy-Duty Trucks
World Electric Vehicle Journal
bidirectional charging
smart charging
vehicle to grid
modeling
optimization
electric vehicles
title Multi-Use Optimization of a Depot for Battery-Electric Heavy-Duty Trucks
title_full Multi-Use Optimization of a Depot for Battery-Electric Heavy-Duty Trucks
title_fullStr Multi-Use Optimization of a Depot for Battery-Electric Heavy-Duty Trucks
title_full_unstemmed Multi-Use Optimization of a Depot for Battery-Electric Heavy-Duty Trucks
title_short Multi-Use Optimization of a Depot for Battery-Electric Heavy-Duty Trucks
title_sort multi use optimization of a depot for battery electric heavy duty trucks
topic bidirectional charging
smart charging
vehicle to grid
modeling
optimization
electric vehicles
url https://www.mdpi.com/2032-6653/15/3/84
work_keys_str_mv AT florianbiedenbach multiuseoptimizationofadepotforbatteryelectricheavydutytrucks
AT kaistrunz multiuseoptimizationofadepotforbatteryelectricheavydutytrucks