[HTML][HTML] Sustainable mobility: A review of possible actions and policies

M Gallo, M Marinelli - Sustainability, 2020 - mdpi.com
In this paper, a review of the main actions and policies that can be implemented to promote
sustainable mobility is proposed. The work aims to provide a broad, albeit necessarily not …

[HTML][HTML] A review of the integrated renewable energy systems for sustainable urban mobility

H Al-Thani, M Koç, RJ Isaifan, Y Bicer - Sustainability, 2022 - mdpi.com
Several challenges have emerged due to the increasing deterioration of urban mobility and
its severe impacts on the environment and human health. Primary dependence on internal …

Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

X Qu, Y Yu, M Zhou, CT Lin, X Wang - Applied Energy, 2020 - Elsevier
It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …

[HTML][HTML] Influence of driving style, infrastructure, weather and traffic on electric vehicle performance

A Donkers, D Yang, M Viktorović - Transportation research part D: transport …, 2020 - Elsevier
Internal and external circumstances affect a vehicles' fuel consumption. Various studies
reviewed internal combustion engine vehicles (ICEVs) energy consumption. While Battery …

Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system

W Xu, H Chen, H Zhao, B Ren - Mechatronics, 2019 - Elsevier
This paper presents a novel braking torque distribution strategy for electric vehicles with four
in-wheel motors equipped with the regenerative braking system. Safety and regeneration …

Maximizing regenerative braking energy recovery of electric vehicles through dynamic low-speed cutoff point detection

S Heydari, P Fajri, M Rasheduzzaman… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper introduces a novel approach for dynamically detecting the lowest speed
threshold at which regenerative braking is effective in electric vehicles (EVs). The control …

Dynamic state estimation for the advanced brake system of electric vehicles by using deep recurrent neural networks

Y Xing, C Lv - IEEE Transactions on Industrial Electronics, 2019 - ieeexplore.ieee.org
Dynamic state estimation is of considerable importance to the system monitoring, advanced
control, and energy management of electrified vehicles (EVs). Among the dynamic states of …

Closed-loop supply chain pricing strategy for electric vehicle batteries recycling in China

X Zhao, B Peng, C Zheng, A Wan - Environment, Development and …, 2022 - Springer
The importance of reasonable pricing strategy for electric vehicle batteries under the
background of government subsidies has been recognized. However, variable government …

Safe and energy-efficient car-following control strategy for intelligent electric vehicles considering regenerative braking

J Guo, W Li, J Wang, Y Luo, K Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent electric vehicles (IEVs) have attracted more and more attention benefitting from
the characteristics of high degree of safety and energy efficiency. This paper proposes an …

A combining sliding mode control approach for electric motor anti-lock braking system of battery electric vehicle

L He, W Ye, Z He, K Song, Q Shi - Control Engineering Practice, 2020 - Elsevier
In this paper, a combining sliding mode control (cSMC) approach of electric motor anti-lock
braking system (emABS) is proposed to improve braking stability of battery electric vehicle …