The role of artificial intelligence in the mass adoption of electric vehicles
The electrification of mass transportation is hailed as a solution for reducing global
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …
Bioinspired computational intelligence and transportation systems: a long road ahead
This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …
technologies in the development of intelligent transportation system, which calls for the …
Electric vehicle control and driving safety systems: A review
K Indu, M Aswatha Kumar - IETE Journal of Research, 2023 - Taylor & Francis
The relevance of Electric Vehicles (EVs) and the overall market demands of the respective
control units is in a never before leap all around the globe as seen from the news, business …
control units is in a never before leap all around the globe as seen from the news, business …
Artificial-intelligence-based design for circuit parameters of power converters
Parameter design is significant in ensuring a satisfactory holistic performance of power
converters. Generally, circuit parameter design for power converters consists of two …
converters. Generally, circuit parameter design for power converters consists of two …
Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation
Y Wu, W Jia, L Li, Z Song, C Xu, F Liu - Energy, 2019 - Elsevier
In recent years, electric vehicles have witnessed rapid development. However, with the
characteristic of numerous complexity links, there are many uncertainties exist in the supply …
characteristic of numerous complexity links, there are many uncertainties exist in the supply …
[HTML][HTML] Electric vehicle clusters scheduling strategy considering real-time electricity prices based on deep reinforcement learning
K Wang, H Wang, J Yang, J Feng, Y Li, S Zhang… - Energy Reports, 2022 - Elsevier
With the increasing penetration of electric vehicles (EVs), the orderly charging–discharging
(C–D) strategy of EVs can effectively alleviate the impact of large-scale grid-connected EVs …
(C–D) strategy of EVs can effectively alleviate the impact of large-scale grid-connected EVs …
EMPC with adaptive APF of obstacle avoidance and trajectory tracking for autonomous electric vehicles
In this paper, event-triggered model predictive control (EMPC) with adaptive artificial
potential field (APF) is designed to realize obstacle avoidance and trajectory tracking for …
potential field (APF) is designed to realize obstacle avoidance and trajectory tracking for …
Development of a novel integrated control strategy for automotive electric power steering systems
TA Nguyen - IEEE Transactions on Automation Science and …, 2024 - ieeexplore.ieee.org
This paper introduces a new approach for controlling electric steering systems. This new
control algorithm combines backstepping (BS) and PID (Proportional Integral Derivative) …
control algorithm combines backstepping (BS) and PID (Proportional Integral Derivative) …
Neural approximation-based adaptive control using reinforced gain for steering wheel torque tracking of electric power steering system
S You, G Kim, S Lee, D Shin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In practice, steering wheel torque (SWT) control performance for an electric power steering
(EPS) system may degrade owing to various reasons, such as model/parameter …
(EPS) system may degrade owing to various reasons, such as model/parameter …