「EP38·Highlights of Research Achievements」—— Quantitative modeling of China’s commercial vehicle powertrain transition toward 2050: Market penetration, uncertainty, and policy impacts

In January 2026, the TRANS Research Group published its latest study, “Quantitative Modeling of China’s Commercial Vehicle Powertrain Transition Toward 2050: Market Penetration, Uncertainty, and Policy Impacts,” in the JCR Q1 journal Energy (Impact Factor: 9.4). This study develops the Sustainability Outlook for Commercial Vehicles for China (SOC-China) model, a quantitative framework projecting powertrain transitions in China’s CV market through 2050. The model simulates fleet agents, evaluates perceived cost of ownership (PCO), and incorporates market fluctuations using Monte Carlo methods. It assesses five powertrains — diesel (DV), natural gas (NGV), battery electric (BEV), plug-in hybrid (PHEV), and fuel cell electric (FCEV) — across four CV categories, considering regional variations in energy prices, usage, and infrastructure.

The study reveals several critical insights for the 2050 horizon:

  • By 2050, BEVs are projected to see continued growth, firmly establishing themselves as one of several competitive powertrain options. Excluding city buses, which are already 97% electrified by 2024, the penetration of BEVs is expected to reach 34% in HDTs and 22% in LDTs, while MDTs are expected to lag behind.
  • Battery-swapping BEVs offer PCO advantages for vehicle lifespans under 11 years, while plug-in charging BEVs dominate longer-term use as the swapping advantage narrows.
  • Short-term purchase subsidies for HDTs deliver greater carbon-reduction benefits — on average, 5.05 times those of long-term policy scenarios — though they do not significantly shift long-term transition pace.

This research fills a vital gap in long-term quantitative analysis for China’s CV market. Available link to the model results: https://soc.translab.top/ . The paper’s first author is Luyang Han, an undergraduate student within the TRANS Research Group. The study was led by Corresponding Author Prof. Shiqi(Shawn) Ou, with contributions from Ziming Yan, Xin He (Aramco Americas, USA), Daniel J. De Castro Gomez and Vivek T. Seshan (Saudi Aramco, Saudi Arabia), Associate Researcher Tianduo Peng (Tsinghua University), and TRANS Group members Luo Chen and Yi Zhou. This work was supported by a special research project from Saudi Aramco.