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A mobile energy storage system is composed of a mobile vehicle, battery system and power conversion system [34]. Relying on its spatial–temporal flexibility, it can be moved to different charging stations to exchange energy with the power system. ... The proposed optimization method is implemented in a computer with an Intel i7-9700 processor ...
A mobile energy storage system is composed of a mobile vehicle, battery system and power conversion system [34]. Relying on its spatial–temporal flexibility, it can be moved to different charging stations to exchange energy with the power system. ... The proposed optimization method is implemented in a computer with an Intel i7-9700 processor ...
To address the need for high-quality power, the distribution network (DN) is gradually incorporating battery energy storage (BES) and flexible interconnection equipment, such as …
Wireless power transfer (WPT) is a promising technology that has the potential to revolutionize the present methods of power transmission. This paper aims to provide an overview of WPT, including its history, a comparative review of methods, and a review of recent ...
This paper proposes a two-stage joint optimization method to coordinate the full/empty battery transportation between cities and renewable energy power stations and …
Gull MS, Arshad N. Optimization of the battery swapping station to power up mobile and stationary loads. In: Proceedings of the thirteenth ACM international conference on future energy systems. 2022, p. 444–5.
For the battery only system, the maximum battery power p.u. and the maximum battery Crate is optimization variables, and their ranges are set to 1.2–1.5 and 1–5 respectively. The simulation results show that when the maximum battery power p.u. is 1.2 and
Taguchi method is a parameter optimization method suitable for a given cost function and can reduce the number of experiments. ... Safe and fast-charging Li-ion battery with long shelf life for power applications [J] J. Power Sources, 196 (8) (2011), pp. 3949-3954 ...
In the high-renewable penetrated power grid, mobile energy-storage systems (MESSs) enhance power grids'' security and economic operation by using their flexible spatiotemporal energy scheduling ability. It is a crucial flexible scheduling resource for realizing large-scale renewable energy consumption in the power system. However, the spatiotemporal …
When a mobile application (e.g. VR) runs on a mobile device, it runs a large number of tasks that take up a lot of computational resources and thus heavily consume battery power of the mobile device. So, it is necessary to know the energy consumption model of mobile devices when running Tasks for examining task scheduling on mobile devices and ...
Energy management and optimization of PEMFC/battery mobile robot based on hybrid rule strategy and AMPSO ... However, many current methods only distribute the power, which is obviously not enough [27]. It can be seen from the current research status 28, ...
Distributed generators (DGs) have a high penetration rate in distribution networks (DNs). Understanding their impact on a DN is essential for achieving optimal power flow (OPF). Various DG models, such as stochastic and forecasting models, have been established and are used for OPF. While conventional OPF aims to minimize operational costs or power …
In recent years, renewable energy has seen widespread application. However, due to its intermittent nature, there is a need to develop energy management systems for its scheduling and control. This paper introduces a multi-stage constraint-handling multi-objective optimization method tailored for resilient microgrid energy management. The microgrid …
The use of mobile devices has increased many folds over the last few years. Smart phones are used not only for communication but also for storage of personal contents like photos, videos, documents, and bank account and credit/debit card details. Secure access to these contents is very important. Nowadays, many mobile devices come with inbuilt biometric …
Compared to existing VVC method without considering MESS in active power distribution system (Case1-2), the proposed DO-based VVC–MESS joint optimization method (Case2-2) yields further reduction of the total real power loss and peak load by 9.7% and,
Until now, a couple of significant BESS survey papers have been distributed, as described in Table 1.A detailed description of different energy-storage systems has provided in [8] [8], energy-storage (ES) technologies have been classified into five categories, namely, mechanical, electromechanical, electrical, chemical, and thermal energy-storage technologies.
Accurate estimation of state-of-charge (SOC) and state-of-health (SOH) is extremely important for the state diagnosis of power batteries, which is related to the energy efficiency and safety of electric vehicles. However, in order to represent the signal noises of sensors, the most commonly used method based on Kalman filter introduces the random Gaussian noise into the estimation, …
In recent years, a variety of methods have been introduced for RUL prediction of Li-ion batteries and demonstrated their effectiveness. From the literature review in Table 1, on the one hand, we observed that most existing RUL prediction methods focus more on improving the ability and performance of the prediction model itself to achieve high accuracy by modifying the …
Incorporating Battery Energy Storage Systems (BESS) into renewable energy configurations offers numerous apparent advantages. Nonetheless, to fully capitalize on these advantages, it is imperative to implement management strategies that facilitate optimal system performance. Various approaches and methods can be employed to optimize the functionality …
Spatio-temporal and power-energy controllability of the mobile battery energy storage system (MBESS) can offer various benefits, especially in distribution networks, if modeled and employed optimally.
As technology advances, portable power becomes crucial in our daily lives [[1], [2], [3]]. From mobile phones to electric vehicles, efficient energy storage technologies are essential to meet increasing energy and mobility demands. Lithium-ion batteries stand out for their high energy density, lightweight design, and extended lifecycle [4, 5 ...
In this paper, we present a novel power optimization and battery lifetime prediction framework called P4O (Pattern, Profiling, Prediction, and Power Optimization). Our …
It can be easily noticed that in the case of Li-Ion batteries the chemical reactions are bi-directional, i.e. reversible. In this case the battery can be recharged by forcing a current in the opposite direction of the discharge (see paragraph 3). During discharge the nLi + ions generated at the anode move towards the cathode where they recombine with the electrons …
An optimal sizing method is proposed in this paper for mobile battery energy storage system (MBESS) in the distribution system with renewables. The optimization is formulated as a bi-objective problem, …
A novel optimization sizing method for PV/wind/battery hybrid power system (HPS) was proposed. For this purpose, a clonal selection optimization algorithm (CLONALG) was coded in the MATLAB environment. All the models of the HPS components, PV panel
3 · Conventional studies in battery research focus on the optimization of a preselected set of materials properties before finally testing the optimized materials in cells. Due to the …
DOI: 10.1016/j.ifacol.2020.11.064 Corpus ID: 235039041 Remaining Useful Life Transfer Prediction and Cycle Life Test Optimization for Different Formula Li-ion Power Batteries Using a Robust Deep Learning Method Lithium-ion batteries play an important role in our ...
Recent years have witnessed a surge in studies within the field of LC technology. Rao et al. [22] designed a cylindrical lithium-ion BTMS with variable contact surfaces, finding optimal cooling at fluid velocity V = 0.05 m/s.Sheng et al. [23] investigated the impact of cooling medium flow direction, flow rate, channel size, and cooling medium on battery thermal …
Nature Communications - Human-operated optimization of non-aqueous Li-ion battery liquid electrolytes is a time-consuming process. Here, the authors propose an …
To minimize the curtailment of renewable generation and incentivize grid-scale energy storage deployment, a concept of combining stationary and mobile applications of battery energy storage systems built …
The advancement and popularity of smartphones have made it an essential and all-purpose device. But lack of advancement in battery technology has held back its optimum potential. Therefore, considering its scarcity, optimal use and efficient management of energy are crucial in a smartphone. For that, a fair understanding of a smartphone''s energy consumption …
Large-scale electric vehicles (EVs) connected to the micro grid would cause many problems. In this paper, with the consideration of vehicle to grid (V2G), two charging and discharging load modes of EVs were constructed. One was the disorderly charging and discharging mode based on travel habits, and the other was the orderly charging and …
Mobile charging is proposed as a brand-new charging solution in response to the relatively slow construction of charging facilities. Operating a mobile charging service system involves scheduling mobile charging vehicles (MCVs) and batteries owned by the mobile charging service operator (MCSO), which is important to improve its economic efficiency and has a …
In recent years, many scholars have carried out extensive research on user side energy storage configuration and operation strategy. In [6] and [7], the value of energy storage system is analyzed in three aspects: low storage and high generation arbitrage, reducing transmission congestion and delaying power grid capacity expansion.
Incorporating Battery Energy Storage Systems (BESS) into renewable energy configurations offers numerous apparent advantages. Nonetheless, to fully capitalize on these advantages, it is imperative to implement management strategies that facilitate optimal system performance. Various approaches and methods can be employed to optimize the functionality …
A novel power supply guarantee model based on mobile charging vehicles (MCVs) is developed for solving the battery capacity constraint problem of unmanned aerial vehicles (UAVs) in performing long-term and large-scale missions. In this model, the charging ...
Compared with constant current discharging method, the multi-objective optimization self-heating method can decrease the battery capacity fade by 5.65%, the heating time is by 1.82%, and the power ...
location to be 0.99998tanh(β). The tanh function ensures that the resulting filter pole will be constrained to have magnitude less than unity, and result in a stable filter. A hysteresis rate constant, γ. The simulations show that the model is relatively
et al. Optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments. Sci Rep 10, 15586 (2020). https ...
We propose a novel cycle test optimization method for different Li-ion power battery formulations to reduce the high cost of constant temperature–stress tests. A hybrid strategy is specially designed to combine two different types of test optimization methods and
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