Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking

J Wang, K Zhu, E Hossain - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …

Parameterized energy-optimal regenerative braking strategy for connected and autonomous electrified vehicles: A real-time dynamic programming approach

D Kim, JS Eo, KKK Kim - IEEE Access, 2021 - ieeexplore.ieee.org
This paper presents a vehicle speed planning system called the energy-optimal
deceleration planning system (EDPS), which aims to maximize energy recuperation of …

Coordinated steering angle and yaw moment distribution to increase vehicle regenerative energy in autonomous driving

J Choi, D Kim, JS Eo, K Nam, Z Wang… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
This paper presents an algorithm that increases vehicle regenerative braking energy
recovery in autonomous driving by leveraging connected and automated vehicle (CAV) …

Vehicle-in-the-Loop Experimental Verification of Real-Time Embedded Computation on Microcontroller for Service-Oriented Energy-Optimal Strategies of Intelligent …

D Kim, Y Seo, H Jang, H Kang… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
In this paper, a real-time energy-optimal strategy exploiting preview information resulting
from connectivity and autonomous vehicle (CAV) technology is verified by experimental …

Serviceable Energy-Optimal Regenerative Braking Control for Age of MECA: A Practical Design and Implementation

D Kim, KK Kim, JS Eo - 한국자동차공학회추계학술대회및전시회, 2021 - dbpia.co.kr
This paper presents an energy-optimal regenerative braking strategy of electrified vehicles
fusing CAV technologies. While approaching upcoming deceleration events such as …