Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
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 …
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …
A technical review on composite phase change material based secondary assisted battery thermal management system for electric vehicles
Abstract Battery Thermal Management System (BTMS) plays a significant role in determining
the Electric vehicles (EVs) operating range and battery operating life cycle. Indeed, Phase …
the Electric vehicles (EVs) operating range and battery operating life cycle. Indeed, Phase …
[HTML][HTML] Review of optimal sizing and power management strategies for fuel cell/battery/super capacitor hybrid electric vehicles
Energy management strategies and optimal power source sizing for fuel cell/battery/super
capacitor hybrid electric vehicles (HEVs) are critical for power splitting and cost-effective …
capacitor hybrid electric vehicles (HEVs) are critical for power splitting and cost-effective …
[HTML][HTML] Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: A comprehensive review
Z Lv, W Shang - Green Technologies and Sustainability, 2023 - Elsevier
With the development of smart cities, new requirements have been put forward for the
control of carbon emissions (CEs) in the transportation system. Intelligent transportation …
control of carbon emissions (CEs) in the transportation system. Intelligent transportation …
Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle
The optimization and training processes of deep reinforcement learning (DRL) based
energy management strategy (EMS) can be very slow and resource-intensive. In this paper …
energy management strategy (EMS) can be very slow and resource-intensive. In this paper …
Efficient energy management strategy for hybrid electric vehicles/plug‐in hybrid electric vehicles: review and recent advances under intelligent transportation system
C Yang, M Zha, W Wang, K Liu… - IET Intelligent Transport …, 2020 - Wiley Online Library
Efficient operation technique has always been one of the common goals for researches both
in automobile industrial and academic areas. With the great progress of automobile …
in automobile industrial and academic areas. With the great progress of automobile …
Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles
P Saiteja, B Ashok - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Abstract Hybrid Electric Vehicles (HEVs) are facing difficulties in the aspect of splitting the
demand power between various drivetrain components. To negate this issue an efficient …
demand power between various drivetrain components. To negate this issue an efficient …
Review on Li‐Ion Battery with Battery Management System in Electrical Vehicle
In this paper, functions of BMS in elections vehicles are explained. The BMS consists of
number of electronics components for monitoring and controlling the functions of batteries in …
number of electronics components for monitoring and controlling the functions of batteries in …
Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management
Develo** energy management strategies (EMSs) for different types of hybrid electric
vehicles (HEVs) is a time-consuming and laborious task for automotive engineers …
vehicles (HEVs) is a time-consuming and laborious task for automotive engineers …