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Energy storage devices could be divided into two types based on their technical principles: mechanical energy storage and electrochemical energy storage. The most representative type of mechanical energy storage is pumped storage, while electrochemical energy storage is represented by lithium batteries.
The energy storage components include the Li-ion battery and super-capacitors are the common energy storage for electric vehicles. Fuel cells are emerging technology for electric vehicles that has promising high traveling distance per charge. Also, other new electric vehicle parts and components such as in-wheel motor, active suspension, and
Abstract. This paper presents the systematic design methodology for the design of electric vehicle propulsion system. Power rating of three phase induction motor is calculated to achieve the pre
The vehicle to grid technology allows bidirectional power flow between the battery of electric vehicle and grid. This allows peak load shaving, load levelling voltage regulation and improvement of
Abstract: Proper design and sizing of Energy Storage and management is a crucial factor in Electric Vehicle (EV). It will result into efficient energy storage with reduced cost,
This article delivers a comprehensive overview of electric vehicle architectures, energy storage systems, and motor traction power. Subsequently, it
The Fuel cells as compared to the other energy storage media have shown promising preliminary outcomes as the energy density of fuel cell is higher than the batteries (Muthukumar et al., 2021). Yet, the production of hydrogen, which is used in fuel cells, can involve GHG emissions, particularly if derived from fossil fuels (gray hydrogen).
A hybrid energy storage system (HESS), which consists of a battery and a supercapacitor, presents good performances on both the power density and the energy density when applying to electric vehicles. In this research, an HESS is designed targeting at a commercialized EV model and a driving condition-adaptive rule-based energy
In the future, however, an electric vehicle (EV) connected to the power grid and used for energy storage could actually have greater economic value when it is actually at rest. In part 1 (Electric Vehicles
An eco-driving strategy based on powertrain for EV is proposed. •. A holistic method considering powertrain internal functionalities is designed. •. The SOC accuracy is enhanced by powertrain considering battery thermal effect. •. The strategy reveals powertrain coupling effect and optimization potentiality. •.
The mesh generation principle of the IDP is shown in Fig. 10, in which coarse grids are first employed, Optimal energy management for an electric vehicle in eco-driving applications Control Eng. Pract., 29
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This paper aim is to describe an architecture of hybrid electric vehicles and technology use for storing electrical energy. The article addresses the role of the
Stage 1 considers the optimal charging strategy for an EV and stage 2 represents the second-life of the EV battery as stationary energy storage in a residential building. Six scenarios were created for both stages; stage 1 includes smart charging and/or Vehicle to Grid (V2G) and stage 2 adds demand side management and/or PV self
It can be seen that the power profile is at linearly increasing power with the voltage (constant current CC) for values of S o C up to 80% and decreasing with the constant voltage current (CV) for values of S o C between 80% and 100% g. 2 b shows the management diagram of the power recharge when the S o C varies at constant power
A fuzzy control energy management technique optimized by evolutionary algorithms was given by the authors in [104] for hybrid energy storage systems in electric vehicles. Huiying Liu et al. [105] developed multiobjective predictive EMSs using the nondominated sorting genetic algorithm (NSGA-II) to enhance the durability of PEMFCs
An energy management strategy of hybrid energy storage systems for electric vehicle applications IEEE Trans Sustain Energy, 9 ( 4 ) ( 2018 ), pp. 1880 - 1888 CrossRef View in Scopus Google Scholar
They play a crucial role in the storage and release of electrical energy, directly impacting the overall performance and efficiency of EES devices [7]. Due to the increasing demand for clean
The evolution of energy storage devices for electric vehicles and hydrogen storage technologies in recent years is reported. • Discuss types of energy
This manuscript proposes a hybrid technique for the optimum charging capability of electric vehicles (EVs) with a hybrid energy storage system (HESS), such as an electric vehicle, battery, and supercapacitor (SC).
The overall exergy and energy were found to be 56.3% and 39.46% respectively at a current density of 1150 mA/cm 2 for PEMFC and battery combination. While in the case of PEMFC + battery + PV system, the overall exergy and energy were found to be 56.63% and 39.86% respectively at a current density of 1150 mA/cm 2.
This review article describes the basic concepts of electric vehicles (EVs) and explains the developments made from ancient times to till date leading to
Hutson C, Venayagamoorthy GK, Corzine KA. Intelligent scheduling of hybrid and electric vehicle storage capacity in a parking lot for profit maximization in grid power transactions. In: 2008 IEEE Energy 2030 Conf., IEEE, 2008: pp. 1–8. doi: 10.1109/ENERGY
List of Publications Part of the content presented in this thesis has been published, the publications are as follows: Journal Publications [1] T. Zhang, R. Zhao, E. E. F. Ballantyne, and D. A. Stone, "Increasing urban tram system efficiency, with battery storage and
2. An overview of fundamentals. Even though the goal of an RBS is to recuperate as much kinetic energy as possible during braking processes, it is also crucial for the system to decelerate the vehicle safely and comfortably. Brake safety and stability are major criteria in evaluating RBSs [18], [19], [20].
To realize a sustainable energy supply, researchers seek to substitute the use of traditional fossil fuels with clean and renewable energy resources. One of the potential solutions is to move from
Lei, M., Mohammadi, M.: Hybrid machine learning based energy policy and management in the renewable-based microgrids considering hybrid electric vehicle charging demand. Int. J. Elec. Power 128, 106702 (2021) Article Google Scholar Li, S
There are different types of energy storage systems available for long-term energy storage, lithium-ion battery is one of the most powerful and being a popular choice of storage. This review paper discusses various aspects of lithium-ion batteries based on a review of 420 published research papers at the initial stage through 101 published
In Italy, the availability of service areas (SAs) equipped with charging stations (CSs) for electric vehicles (EVs) on highways is limited in comparison to the total number of service areas. The scope of this work is to create a prototype and show a different approach to assessing the number of inlets required on highways. The proposed method estimates
Abstract. The increase of electric vehicles (EVs) is leading to an increase in electric vehicle charging stations, due to this spread the load on the existing power system is being increased and power quality disturbances are increasing. Using renewable energy is the best possibility to reduce stress and increase eco-friendliness.
5 · This study proposes an optimization model for the charging and routing of electric vehicles between An islanding dc microgrid with electric-hydrogen hybrid
Fuel cell vehicles (FCV) are usually referred to the vehicles in which fuel cells are used as the primacy power source. A fuel cell vehicle may use two energy sources, fuel cells and chemical batteries, which is referred to as fuel cell hybrid vehicles (FCHV) . Since there are two power sources and only one energy sink (wheels), there are many
Improved integration of the electrified vehicle within the energy system network including opportunities for optimised charging and vehicle-to-grid operation. Telematics, big data mining, and machine learning for the performance analysis, diagnosis, and management of energy storage and integrated systems. Dr. James Marco.
Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle Appl Energy, 211 ( 2018 ), pp. 538 - 548 View PDF View article View in Scopus Google Scholar
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