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Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges …
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 …
Lithium‐ion battery and supercapacitor‐based hybrid energy storage system for electric vehicle applications: a review
Hybrid energy storage system (HESS) has emerged as the solution to achieve the desired
performance of an electric vehicle (EV) by combining the appropriate features of different …
performance of an electric vehicle (EV) by combining the appropriate features of different …
[HTML][HTML] Electric vehicles and vehicle–grid interaction in the Turkish electricity system
Electric vehicles and energy storage systems are technologies in the stage of intensive
development. One of the innovative ways to use electric cars is the Vehicle to Grid (V2G) …
development. One of the innovative ways to use electric cars is the Vehicle to Grid (V2G) …
Review of intelligent energy management techniques for hybrid electric vehicles
This paper presents a comprehensive review of energy management systems for hybrid
electric vehicles with a focus on rule-based and reinforcement learning-based techniques …
electric vehicles with a focus on rule-based and reinforcement learning-based techniques …
Hierarchical energy management strategy based on adaptive dynamic programming for hybrid electric vehicles in car-following scenarios
W Tang, Y Wang, X Jiao, L Ren - Energy, 2023 - Elsevier
In order to improve the driving safety and fuel economy of hybrid electric vehicles (HEVs) in
car-following scenarios, this paper proposes a hierarchical energy management strategy …
car-following scenarios, this paper proposes a hierarchical energy management strategy …
Enhancing fuel cell electric vehicle efficiency with TIP-EMS: A trainable integrated predictive energy management approach
To enhance the energy efficiency of electrified vehicles (EVs), develo** effective energy
management strategies (EMS) for hybrid storage systems is essential. Predictive EMS …
management strategies (EMS) for hybrid storage systems is essential. Predictive EMS …
A novel data-driven energy management strategy for fuel cell hybrid electric bus based on improved twin delayed deep deterministic policy gradient algorithm
With the prosperity of artificial intelligence in recent years, energy management strategies
(EMSs) based on deep reinforcement learning (DRL) have become the mainstream …
(EMSs) based on deep reinforcement learning (DRL) have become the mainstream …
Optimization of hybrid energy management system based on high-energy solid-state lithium batteries and reversible fuel cells
Integrating a high power source, like a super capacitor (SCAP), and a lithium-ion battery
(LIB) for electric vehicle (EV) applications yields achievement improvements, including …
(LIB) for electric vehicle (EV) applications yields achievement improvements, including …
Prediction of cold start emissions for hybrid electric vehicles based on genetic algorithms and neural networks
D Tang, Z Zhang, L Hua, J Pan, Y **ao - Journal of Cleaner Production, 2023 - Elsevier
The emission of hybrid electric vehicles deteriorates during cold start, and it is a cost-
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …
Testing methods for multi-energy ship energy management system: A systematic review
There is a lack of comprehensive and systematic research on ship energy management
system (EMS) testing. This study firstly adopts the bibliometric method to review the current …
system (EMS) testing. This study firstly adopts the bibliometric method to review the current …