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Automotive Innovation 2021 Best Paper Award was organized and the award ceremony was held in Beijing during CICV 2023 on May 15, 2023. The objective of the annual AUIN Best Paper Award is to recognize outstanding contributions to the body of theoretical or practical knowledge in the automotive field. It is hoped that more engineers and researchers could publish their research in Automotive Innovation.
The Award was selected by the Award Committee based on general quality of paper, subject matter, originality, scientific, technological and innovative excellence of the paper, as well as the download and citation. After three rounds of evaluation, 4 best papers were selected from 35 articles published in Automotive Innovation in 2021.
The first awarded paper:
Title: Uncertainty Evaluation of Object Detection Algorithms for Autonomous Vehicles
Authors: Liang Peng, Hong Wang, Jun Li
Link: https://link.springer.com/article/10.1007/s42154-021-00154-0
The second awarded paper:
Title: A Novel Electric Dual Motor Transmission for Heavy Commercial Vehicles
Authors: Xiangyang Xu, Jiajia Liang, Qingjun Hao, Peng Dong, Shuhan Wang, Wei Guo, Yanfang Liu, Zhonghua Lu, Jiantao Geng, Bin Yan
Link: https://link.springer.com/article/10.1007/s42154-020-00129-7
The third awarded paper:
Title: Joint Estimation of Inconsistency and State of Health for Series Battery Packs
Authors: Yunhong Che, Aoife Foley, Moustafa El-Gindy, Xianke Lin, Xiaosong Hu, Michael Pecht
Link: https://link.springer.com/article/10.1007/s42154-020-00128-8
The fourth awarded paper:
Title: Simulator Coupled with Distributed Co-Simulation Protocol for Automated Driving Tests
Authors: Max-Arno Meyer, Lina Sauter, Christian Granrath, Hassen Hadj-Amor, Jakob Andert
Link: https://link.springer.com/article/10.1007/s42154-021-00161-1
The award was presented by Prof. Frank Zhao, the editor-in-chief of Automotive Innovation, Honorable Lifetime President of FISITA, President of Tsinghua Automotive Research Institute.
Authors received the award certificate from editors-in-chief