Application of Wireless Charging at Seaports for Range Extension of Drayage Battery Electric Trucks

Fuad Un-Noor, Alexander Vu, Shams Tanvir, Zhiming Gao, Matthew Barth, Kanok Boriboonsomsin

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Even though heavy-duty battery electric trucks (BETs) have become commercially available, their range limitation still hinders widespread adoption. Drayage has been regarded as a suitable application for early BETs due to typically having limited daily mileage. However, drayage operation can vary widely and some form of range extension may still be needed for BETs operating in this application. In this paper, wireless charging at port terminals is proposed for this purpose. Potential wireless charging zones at port terminals are identified, and efficacy of wireless charging to extend BET range in drayage operation is verified by simulating the activity of 20 BETs from a drayage operator serving the ports of Los Angeles and Long Beach, using a microscopic BET energy consumption model. Furthermore, an optimization problem is formulated for optimal wireless charging zone planning from the port authority's perspective, considering subsets of the identified zones, and charging power options to choose from, for different budget ranges. In this context, zone planning means determining which areas of the port terminals should be selected for installing wireless charging systems, and what level of charging power should be for each selected zone's system. For each budget range, the optimization problem is solved using genetic algorithm to determine an optimal zone plan that provides the maximum amount of energy through wireless charging per unit cost of installation. The results show that wireless charging can aid improving activity completion of the simulated fleet by 5%, and further optimizing the zone plan can achieve similar performance with lower cost.

Original languageEnglish
Pages (from-to)4599-4609
Number of pages11
JournalIEEE Transactions on Vehicular Technology
Volume73
Issue number4
DOIs
StatePublished - Apr 1 2024

Keywords

  • Class 8 truck
  • drayage operations
  • electric vehicle
  • fleet
  • genetic algorithm
  • optimization
  • planning
  • range anxiety
  • wireless charging

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