Energy recovery and energy harvesting in electric and fuel cell vehicles, a review of recent advances

SM Hosseini, M Soleymani, S Kelouwani… - IEEE …, 2023 - ieeexplore.ieee.org
This review article examines the crucial role of energy harvesting and energy recovery in the
design of battery electric vehicles (BEVs) and fuel cell hybrid electric vehicles (FCHEVs) as …

A Critical Review of Recent Industrial Developments, Trends, and Future Perspectives of Power Electronic Systems: Fuel Cell Electric Vehicles

AU Rehman, SW Ryu, H Park… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Fuel cell electric vehicles (FCEVs) offer a promising solution for environment-friendly and
sustainable future transportation, thanks to their remarkable features (eg, zero-carbon …

Service-oriented real-time energy-optimal regenerative braking strategy for connected and autonomous electrified vehicles

D Kim, JS Eo, KKK Kim - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
This paper presents a real-time vehicle speed planning system called the real-time energy-
optimal deceleration planning system (RT-EDPS). Connectivity and autonomous driving …

Gaussian process approximate dynamic programming for energy-optimal supervisory control of parallel hybrid electric vehicles

JW Bae, KKK Kim - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
We propose an energy-efficient supervisory control method for the power management of
parallel hybrid electric vehicles (HEVs) to improve the fuel economy and reduce exhaust gas …

Energy-efficient speed planner for connected and automated electric vehicles on sloped roads

X Wang, S Park, K Han - IEEE Access, 2022 - ieeexplore.ieee.org
This paper proposes an energy-efficient speed planning strategy for a connected and
automated vehicle (CAV) considering the upcoming traffic and road gradient information …

Design and experimental validation of eco-driving system for connected and automated electric vehicles

X Luo, Y Cheng, J Hong, S Dong, X Na, B Gao… - Control Engineering …, 2025 - Elsevier
To address range anxiety in electric vehicles (EVs), this paper presents an eco-driving add-
on system implemented on a production EV, with comparative field experiments conducted …

Machine Learning and Optimization in Energy Management Systems for Plug-In Hybrid Electric Vehicles: A Comprehensive Review

A Recalde, R Cajo, W Velasquez, MS Alvarez-Alvarado - Energies, 2024 - mdpi.com
This paper provides a comprehensive review of machine learning strategies and
optimization formulations employed in energy management systems (EMS) tailored for plug …

RBS and ABS Coordinated Control Strategy Based on Explicit Model Predictive Control

L Chu, J Li, Z Guo, Z Jiang, S Li, W Du… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
During the braking process of electric vehicles, both the regenerative braking system (RBS)
and anti-lock braking system (ABS) modulate the hydraulic braking force, leading to control …

Personalized Automated Braking for One-Pedal Driving in Electric Vehicles Using Model Predictive Control

Y He, S Fan, KH Kwak, Y Kim - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we propose an advanced automated braking algorithm, named personalized
one-pedal driving (POPD), for electrified vehicles capable of learning a driver's braking …

智能网联电动汽车节能优化控制研究进展与展望

申永鹏, 袁小芳, 赵素娜, 孟步敏, 王耀南 - 自动化学报, 2023 - aas.net.cn
提升纯电动汽车整车能效, 降低百公里耗电量, 是我国新能源汽车产业发展的重大需求.
智能网联背景下, V2X (Vehicle to everything) 网联信息以及激光雷达, 毫米波雷达, 摄像头 …