And constructed a new energy vehicle decommissioned power battery recycling platform based on the big data technology. Integrated characteristics of big data information, this paper analyzes the ...
Each new energy vehicle is equipped with one unit of battery, and the output of battery is the same as that of new energy vehicles; the output and sales of new energy vehicles are the same. 3.2. Parameter Description
This is because the cooperation between the vehicle manufacturer and battery suppliers A and B can maximize and eliminate the double marginal effect between the vehicle manufacturer and battery supplier A and B, so as to maximize the total profit of the supply chain.
Therefore, against the background of decreasing subsidies, the key to how new energy vehicle manufacturers can break through the bottleneck and gain a competitive advantage lies in batteries. The methods of cooperation between car suppliers and battery suppliers are also gradually becoming an issue worthy of study.
It can be seen that the optimal dispatch strategy effectively meets the economic operation of the power generation side and the charging needs of electric vehicle users. In the later power grid planning, the number of units can be reduced according to the optimization results.
As shown in the data-intensive performance evaluation, it can be observed that the proposed method achieves a desirable performance in terms of reducing the operation costs of electric vehicle charging stations.
In other words, the sales price, market demand and total profit of the supply chain of new energy vehicles are inversely proportional to the subsidy decline coefficient.
And constructed a new energy vehicle decommissioned power battery recycling platform based on the big data technology. Integrated characteristics of big data information, this paper analyzes the ...
Get PriceThis paper studies the selection of a vehicle manufacturers'' cooperation model with battery suppliers in the supply chain of new energy vehicles in the light of decreasing subsidies, and formulates four cooperation models, comparing the pricing of batteries and new energy vehicles, the market demand for new energy vehicles and the ...
Get PriceThe main goal of this work is to provide a cooperative optimization method for regional multi-microgrid system, optimizing dispatching strategy and capacity allocation of electric vehicles …
Get PriceThe main goal of this work is to provide a cooperative optimization method for regional multi-microgrid system, optimizing dispatching strategy and capacity allocation of electric vehicles and renewable energy sources. Meanwhile, across-time-and-space energy transmission of electric vehicles is considered in the optimization model.
Get PriceAutonomous vehicles hold the potential to significantly improve traffic efficiency and advance the development of intelligent transportation systems. With the progression of autonomous driving technology, collaborative planning among multiple vehicles in autonomous driving scenarios has emerged as a pivotal challenge in realizing intelligent transportation …
Get PriceIn this paper, based on the analysis of the operating characteristics of vehicle-mounted hybrid energy storage system composed of lithium-ion battery, ultracapacitors, and bidirectional DC/DC converter, an …
Get PriceElectric vehicle (EV) is developed because of its environmental friendliness, energy-saving and high efficiency. For improving the performance of the energy storage system of EV, this paper proposes an energy management strategy (EMS) based model predictive control (MPC) for the battery/supercapacitor hybrid energy storage system (HESS), which takes …
Get PriceThis research presents a multi-layer optimization framework for hybrid energy storage systems (HESS) for passenger electric vehicles to increase the battery system''s performance by combining multiple cell chemistries. Specifically, we devise a battery model capturing voltage dynamics, temperature and lifetime degradation solely using data from manufacturer …
Get PriceThe developed HEM enables the home owner to manage different components and appliances including electric vehicle (EV), energy storage system (ESS), and shiftable …
Get PriceThis paper proposes a new scheduling scheme for SAEV fleets within a cooperative contract to let distribution networks benefit from the energy storage of vehicle batteries in recovering critical loads after a predictable extreme event. The proposed method comprises three stages, namely, (i) data entry, (ii) SAEV charge management ...
Get PriceThis research presents a multi-layer optimization framework for hybrid energy storage systems (HESS) for passenger electric vehicles to increase the battery system''s performance by …
Get PriceIn this paper, a high-confidence wind power scenario is used to establish a multi-objective optimal scheduling model that considers the V2G characteristics of electric vehicles, generator operating costs, abandoned air volume, environmental pollution, and charging costs for electric vehicle users, the optimal multi-objective scheduling model ...
Get PriceConsidering the supply chain composed of a power battery supplier and a new energy vehicle manufacturer, under the carbon cap-and-trade policy, this paper studies the different cooperation modes between the manufacturer and the supplier as well as their strategies for green technology and power battery production. Three game models are ...
Get PriceIn this paper, a high-confidence wind power scenario is used to establish a multi-objective optimal scheduling model that considers the V2G characteristics of electric …
Get PriceDOI: 10.1016/J.SCS.2018.02.018 Corpus ID: 115800178; Cooperation of electric vehicle and energy storage in reactive power compensation: An optimal home energy management system considering PV presence
Get PriceThe developed HEM enables the home owner to manage different components and appliances including electric vehicle (EV), energy storage system (ESS), and shiftable loads (SLs). Optimal scheduling of consumption times of SLs and charging/discharging cycles of EV and ESS ends in sensible reduction in daily operation cost. Then ...
Get PriceUnlike traditional transactive energy models that often under-utilize EVs due to mismatches with smaller renewable outputs and peak loads, the proposed cooperative V2V sharing mechanism aims to maximize the use of EVs'' charging and discharging capabilities. It forms a grand coalition of EV users to optimize energy and reserve market ...
Get PriceIn this paper, based on the analysis of the operating characteristics of vehicle-mounted hybrid energy storage system composed of lithium-ion battery, ultracapacitors, and bidirectional DC/DC converter, an energy management strategy based on MPC-DE is proposed. Experiments were conducted under CLTC-P and HWFET driving cycles. The ...
Get PriceIn this paper, we propose a novel demand-side management (DSM) system designed to optimize electric vehicle (EV) charging at public stations using model predictive control (MPC). The system adjusts to real-time …
Get PriceTo 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.
Get PriceUnlike traditional transactive energy models that often under-utilize EVs due to mismatches with smaller renewable outputs and peak loads, the proposed cooperative V2V sharing mechanism aims to maximize the use of EVs'' charging and discharging capabilities. It …
Get PriceAbstract: This article proposes a novel multiagent deep reinforcement learning method for the energy management of distributed electric vehicle charging stations with a solar photovoltaic system and energy storage system. In the literature, the conventional method is to calculate the optimal electric vehicle charging schedule in a centralized ...
Get PriceConsidering the supply chain composed of a power battery supplier and a new energy vehicle manufacturer, under the carbon cap-and-trade policy, this paper studies the …
Get PriceIn the new energy automobile industry, a patent cooperation network is a technical means to effectively improve the innovation ability of enterprises. Network subjects can continuously obtain, absorb, and use various resources in the network to improve their research and development strength. Taking power batteries of new energy vehicles as the research …
Get PriceThis paper studies the selection of a vehicle manufacturers'' cooperation model with battery suppliers in the supply chain of new energy vehicles in the light of decreasing subsidies, and formulates four cooperation …
Get PriceThe first stage is a non-linear programming model that optimizes the charging of electric vehicles and battery energy storage based on a prediction of photovoltaïc (PV) power, building demand, electricity, and …
Get PriceAustralian Industry Minister Ed Minister Husic has used his visit to Jakarta to sign a memorandum of understanding establishing an electric vehicle (EV) collaboration mechanism, with Indonesia''s Acting Coordinating Minister for …
Get PriceThis paper proposes a new scheduling scheme for SAEV fleets within a cooperative contract to let distribution networks benefit from the energy storage of vehicle …
Get PriceThe recycling of retired new energy vehicle power batteries produces economic benefits and promotes the sustainable development of environment and society. However, few attentions have been paid to the design and optimization of sustainable reverse logistics network for the recycling of retired power batteries. To this end, we develop a six-level sustainable …
Get PriceAbstract: This article proposes a novel multiagent deep reinforcement learning method for the energy management of distributed electric vehicle charging stations with a solar photovoltaic …
Get Priceابقَ على اطلاع بأحدث الاتجاهات في صناعة الطاقة الشمسية والطاقة المتجددة في المنطقة. استعرض مقالاتنا الموثوقة للحصول على رؤى عميقة حول تقنيات الطاقة الشمسية المتقدمة، وتخزين الطاقة، وكيفية دمج هذه الحلول لتحسين الكفاءة الطاقية في المنازل والمشاريع الصناعية.