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  4. Techno-economic cell selection for battery-electric long-haul trucks
 
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2023
Journal Article
Title

Techno-economic cell selection for battery-electric long-haul trucks

Abstract
To reach cost-parity with diesel trucks, battery-electric trucks require fast-chargeable lithium-ion cells with a high energy density and cycle life, at a low specific cost. However, cells generally excel at only a fraction of these characteristics. To help select the optimal cell, we have developed the techno-economic cell selection method. The method determines the price per kilowatt-hour that is required to reach cost-parity with a diesel truck, based on the characteristics provided in a cell’s datasheet. We demonstrate the method by selecting the optimal cell out of a database containing 160 cells for a long-haul truck operating with a single driver in Germany in two scenarios: charged at 350 kW and charged at 1 MW. The results show that for trucks charged at the current maximum charging power of 350 kW, the cell price needs to drop to ca. €60 kW-1 h to reach cost-parity with a diesel truck. When 1 MW charging power is available, cost-parity can be reached at a cell price around €100 kW-1 h, which is within reach of optimistic cost estimates. However, the most cost-effective cells require more volume and result in a lower maximum payload than a diesel truck. A parameter sensitivity analysis shows that best-in-class cell energy density and packaging efficiency are required to match the payload capacity and powertrain volume of a diesel truck. The cell cycle life, cost of charging and vehicle energy consumption have the biggest impact on the cost-effectiveness of battery electric trucks.
Author(s)
Teichert, Olaf
Technische Universität München, Institut für Fahrzeugtechnik
Link, Steffen  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Schneider, Jakob
Technische Universität München, Institut für Fahrzeugtechnik
Wolff, Sebastian
Technische Universität München, Institut für Fahrzeugtechnik
Lienkamp, Markus
Technische Universität München, Institut für Fahrzeugtechnik
Journal
eTransportation  
Open Access
File(s)
Download (1.26 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1016/j.etran.2022.100225
10.24406/publica-799
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Techno-economic design

  • Battery cell selection

  • Lithium-ion

  • Battery-electric trucks

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