Workshop’s Topic: Battery electric trucks (BETs) offer environmental benefits but have been challenged by technical and economic viability compared to internal combustion engine trucks (ICETs). Meanwhile, fleet owner-operators have difficulties applying life cycle cost analyses and simulations to strategic decisions regarding electrification due to missing details of operational fleet management, high uncertainty, and lack of generalizability. Therefore, in this study we develop a data-driven method to systematically analyze BET and ICET fleets for over 100,000 scenarios to measure the effects of strategic decisions, operational optimization, and deep uncertainty on Total Cost-of-Ownership (TCO) and relative competitiveness. We find that electrification becomes more efficient at scale with larger fleet sizes allowing route and charging optimization to better minimize the impact of operational constraints, thus improving service level, charging times, and utilization. Partial electrification of fleets for large networks shows to be a robust pathway regardless of uncertainties such as battery prices and future battery technology.

Time and Location: 10:00 AM (GMT+8), Room A523 (School of Management)

Language: Bilingual (Chinese and English)