A Full-Chain Dataset for Intelligent New Energy Vehicles based on High-fidelity Digital Twin Platform
Zhengxian Chen, Yuyang Pan, Tianyang Gong, Chenggang Zhang, Yunwei Li, Jieyu Wang, Huanan Wang, Wenfeng Guo, Mingqiang Wang, Chaosheng Huang, Jun Li · 2026
Read A Full-Chain Dataset for Intelligent New Energy Vehicles based on High-fidelity Digital Twin Platform by Zhengxian Chen, Yuyang Pan, Tianyang Gong, Chenggang Zhang, Yunwei Li, Jieyu Wang, Huanan Wang, Wenfeng Guo, Mingqiang Wang, Chaosheng Huang, Jun Li (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13642904.txt.
Description
Zhengxian Chen and ten colleagues present a 2026 dataset, called 3ITVP, for intelligent new energy vehicle research built on a high-fidelity digital twin platform. Public driving datasets usually cover perception alone, leaving control and energy behavior disconnected.
The dataset follows five vehicle types, from ordinary cars and light trucks to semi-trailers, buses, and logistics vehicles, with tightly synchronized data on surroundings, driving behavior, and powertrain response. Alongside long continuous drives it includes many special event cases. The authors aim it at research on planning, control, energy management, and transferring skills learned in simulation to real vehicles.
Catalog record
| CREATOR | Zhengxian Chen, Yuyang Pan, Tianyang Gong, Chenggang Zhang, Yunwei Li, Jieyu Wang, Huanan Wang, Wenfeng Guo, Mingqiang Wang, Chaosheng Huang, Jun Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 65466 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |