As a manifestation of technological innovation achievements, patents reflect the frontier of technological development in the field. The aim of this research is to investigate the spatial evolution of patent collaboration networks and cooperation activities in the Chinese new energy vehicle (NEV) industry. We hypothesize that the higher-order …
Learn MoreThe efficient use of the integration of renewable energy sources with electric vehicle (EV) and energy storage systems (ESSs) in the smart home is a popular choice …
Learn MoreThis paper initially presents a review of the several battery models used for electric vehicles and battery energy storage system applications. A model is discussed which takes into account the nonlinear characteristics of the battery with respect to the battery''s state of charge. Comparisons between simulation and laboratory measurements …
Learn MoreTesla has shifted the auto industry toward electric vehicles, achieved consistently growing revenues, and at the start of 2020 was the highest-performing automaker in terms of total return, sales ...
Learn MoreSmart Roads: Roadside Perception, Vehicle-Road Cooperation and Business Model. mber, IEEE, Yong Liang Guan, Senior Member, IEEE, and Yan Zhang, Fellow, IEEEAbstract—Smart roads h. ve become an essential component of intelligent transportation systems (ITS). The roadside perception technology, a critical aspect of …
Learn MoreDOI: 10.1016/J.IJEPES.2021.107428 Corpus ID: 237689811 A novel energy cooperation framework for community energy storage systems and prosumers @article{WuANE, title={A novel energy cooperation framework for community energy storage systems and prosumers}, author={Chuantao Wu and De-qun Zhou and Xiangning Lin and …
Learn MoreFirst, this paper summarizes the development status of China''s new energy vehicles in different scenarios. In 2021, China''s new energy vehicle production was 3545 thousand, and sales amounted to 3521 thousand. According to preliminary estimates, the number of new energy vehicles will exceed 15 million in 2030.
Learn MoreA parallel hybrid electric vehicle energy management strategy using stochastic model predictive control with road grade preview IEEE Trans Contr Syst Technol, 23 ( 6 ) ( 2015 ), pp. 2416 - 2423, 10.1109/TCST.2015.2409235
Learn MoreIn this letter, a distributed model predictive control strategy for battery energy storage systems is proposed to regulate voltage in distribution network with high-renewable penetration. Control actions are calculated based on communication between interconnected neighboring subsystems and a multistep receding optimization, also …
Learn MoreCooperation of electric vehicle and energy storage in reactive power compensation: An optimal home energy management system considering PV presence. …
Learn MoreTo date, various energy storage technologies have been developed, including pumped storage hydropower, compressed air, flywheels, batteries, fuel cells, electrochemical capacitors (ECs), traditional capacitors, and so on (Figure 1 C). 5 Among them, pumped storage hydropower and compressed air currently dominate global …
Learn MoreIn recent years, the energy storage devices have enough energy and power density to us... Energy Saving Speed and Charge/Discharge Control of a Railway Vehicle with On‐board Energy Storage by Means of an Optimization Model - Miyatake - 2009 - IEEJ Transactions on Electrical and Electronic Engineering - Wiley Online Library
Learn MoreFor res-108 idential consumers, the financial benefits of energy storage 134 DES was first proposed as a way to facilitate the inte-135 gration of distributed renewable generation. Methods for the ...
Learn MoreWith the global awareness of climate change and environmental problems, major powers over the world have set their goals to contribute to a low-carbon society. China announced the target of "carbon peak and carbon neutrality," requiring a cleaner, carbonfree, economic, and sustainable energy system. To this end, there are two promising approaches. The …
Learn MoreThe main contributions of this study can be summarized as Consider the source-load duality of Electric Vehicle clusters, regard Electric Vehicle clusters as mobile energy storage, and construct a source-grid-load …
Learn MoreSection snippets Energy framework, HAP model and CESP model The paper uses HAP i and CESP j to form an energy cooperation framework, as shown in Fig.1, i = 1 2 3..I,j = 1 2 … J.HAPs have their own rooftop PV, diversified energy supply equipment based ...
Learn MoreSmart Roads: Roadside Perception, Vehicle-Road Cooperation and Business Model. Rui Chen, Lu Gao, Yutian Liu, Yong Liang Guan, Yan Zhang. Smart roads have become an essential component of intelligent transportation systems (ITS). The roadside perception technology, a critical aspect of smart roads, utilizes various sensors, …
Learn MoreSecond, most of the developed fuel cells work at pressure ranges higher than that of gasometers [168]. Hydrogen in vehicle storage tanks is pressurized in the range of 350-700 bar, satisfying a ...
Learn MoreThis paper proposes a home energy management (HEM) strategy to not only reduce the customer''s billing cost but also to compensate the reactive power at the point of grid integration. The developed HEM enables the home owner to manage different components and appliances including electric vehicle (EV), energy storage system (ESS), and …
Learn MoreWith the increasing popularity of new energy vehicles (NEVs), a large number of automotive batteries are intensively reaching their end-of-life, which brings enormous challenges to environmental …
Learn MorePDF | On Jan 5, 2022, Zihang Qiu and others published Charging Rate Based Battery Energy Storage System Model in Wind Farm and Battery Storage Cooperation Bidding ...
Learn MoreEnergy Conversion and Economics is an open access multidisciplinary journal covering technical, economic, management, and policy issues in energy engineering. Abstract With global concerns about carbon emissions, the proportion of renewable energy generation worldwide is increasing, and the demand for flexible …
Learn MoreSection snippets Literature review In existing studies, energy storage has been applied in multiple scenarios, such as smoothing renewable energy output curves (Sun et al., 2019), peak and frequency regulation …
Learn MoreProviding control, e.g., in the form of intervention user interfaces, is beneficial to satisfy user''s needs for autonomy and thus fostering motivation to use driving automation [3,4].Still, in its current form, vehicle automation is associated with a loss of autonomy [] and therefore, new Human Machine Interface (HMI) designs have to be developed that fit user …
Learn MoreThis article investigates the feasibility of a photovoltaic-fuel cell-battery hybrid electric vehicle (PVFCHEV) via a model-based approach and delivers two major original contributions. First, a completed …
Learn MoreAbstract: In order to mitigate the power density shortage of current energy storage systems (ESSs) in pure electric vehicles (PEVs or EVs), a hybrid ESS (HESS), …
Learn MoreThis paper proposes a vehicle-to-grid (V2G) operation methodology of electric vehicles (EVs) for frequency regulation, EV charging, and state-of-charge (SOC) management. This V2G operation …
Learn MoreThis article presents an energy management strategy (EMS) design and optimization approach for a plug-in hybrid electric vehicle (PHEV) with a hybrid energy storage system (HESS) which contains a Li-Ti-O battery pack and a Ni-Co-Mn battery pack. The EMS shares power flows within the hybrid powertrain, and it employs a dual fuzzy …
Learn MoreOur vehicles are some of the safest in the world. After safety, our goal is to make every Tesla the most fun you could possibly have in a vehicle. We build features that make being in your vehicle more enjoyable—from gaming to movies, easter eggs and more. With over-the-air software updates, we regularly introduce features at the push of a ...
Learn MoreTo draw a comprehensive and cohesive understanding of human–vehicle cooperation in automated driving, a review is made on key studies in human–robot interaction and human factors. Throughout this article, insight is provided into how human drivers and vehicle systems interplay and influence each other.
Learn MoreThe developed HEM enables the home owner to manage different components and appliances including electric vehicle (EV), energy storage system …
Learn MoreProposition 5 shows that the manufacturer and supplier model choices are affected by the R&D cost coefficient. Table 3 shows the optimal model choices of the manufacturer and supplier in different situations. When δ 5 (k, β) ⩽ δ 3 (k, β), the manufacturer''s profit under PC outweighs the profit under WC, so the manufacturer''s …
Learn MoreAbstract. Integrating plug-in electric vehicles (PEVs) into the power and transport sectors can help to reduce global CO 2 emissions. This synergy can be …
Learn MoreAs the integration of microgrids (MG) and energy storage continues to grow, the need for efficient distributed cooperation between MGs and common energy storage (CES) becomes paramount. A robust optimisation model for the distributed cooperation of MG-CES is presented, taking into account distributed generation under …
Learn MoreThe development of electric vehicles represents a significant breakthrough in the dispute over pollution and the inadequate supply of fuel. The reliability of the battery technology, the amount of driving range it can provide, and the amount of time it takes to charge an electric vehicle are all constraints. The eradication of these constraints is …
Learn MoreSubsequently, the system dynamic optimal scheduling model, considering the virtual energy storage, was developed based on the first-order thermodynamic load calculation model. The Gurobi nonconvex solver is used to optimize the model, and the results are compared with the optimal scheduling results without considering the virtual …
Learn MoreThis paper proposes a coordinated source-grid-load-storage operation model that considers the mobile energy storage characteristics of electric vehicles …
Learn MoreFew scholars specialize in the coordinated scheduling model of user-side distributed energy storage devices under cloud energy storage mode, including the business model and service mechanism of ...
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