Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges …

P Dong, J Zhao, X Liu, J Wu, X Xu, Y Liu… - … and Sustainable Energy …, 2022 - Elsevier
The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …

Blockchain for AI: Review and open research challenges

K Salah, MHU Rehman, N Nizamuddin… - IEEE …, 2019 - ieeexplore.ieee.org
Recently, artificial intelligence (AI) and blockchain have become two of the most trending
and disruptive technologies. Blockchain technology has the ability to automate payment in …

Driving-style-based codesign optimization of an automated electric vehicle: A cyber-physical system approach

C Lv, X Hu, A Sangiovanni-Vincentelli… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
This paper studies the codesign optimization approach to determine how to optimally adapt
automatic control of an intelligent electric vehicle to driving styles. A cyber-physical system …

Personalized vehicle trajectory prediction based on joint time-series modeling for connected vehicles

Y Xing, C Lv, D Cao - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Motion prediction for the leading vehicle is a critical task for connected autonomous
vehicles. It provides a method to model the leading-following vehicle behavior and analysis …

Tuning of digital PID controllers using particle swarm optimization algorithm for a CAN-based DC motor subject to stochastic delays

Z Qi, Q Shi, H Zhang - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
In this article, we investigate the tuning problem of digital proportional-integral-derivative
(PID) parameters for a dc motor controlled via the controller area network (CAN). First, the …

Driver lane change intention inference for intelligent vehicles: Framework, survey, and challenges

Y Xing, C Lv, H Wang, H Wang, Y Ai… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

Surfing blockchain wave, or drowning? Shaping the future of distributed ledgers and decentralized technologies

P Centobelli, R Cerchione, E Esposito… - … Forecasting and Social …, 2021 - Elsevier
Blockchain is a promising technology whose four TRs (TRaceability, TRacking,
TRansparency, TRrust) features are bound to revolutionize material, information, financial …

Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle

Q Zhou, D Zhao, B Shuai, Y Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Essential decision-making tasks such as power management in future vehicles will benefit
from the development of artificial intelligence technology for safe and energy-efficient …

Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression

Q Zhou, Y Li, D Zhao, J Li, H Williams, H Xu, F Yan - Applied energy, 2022 - Elsevier
Electric vehicles, including plug-in hybrids, are important for achieving net-zero emission
and will dominate road transportation in the future. Energy management, which optimizes …

Artificial intelligence and blockchain: A review

AA Hussain, F Al‐Turjman - Transactions on emerging …, 2021 - Wiley Online Library
It is irrefutable that blockchain and artificial intelligence (AI) paradigms are spreading at an
incredible rate. The two paradigms have distinctive level of innovative nature and …