The Concept of EV’s Intelligent Integrated Station and  Its Energy Flow

Xie, Da; Chu, Haoxiang; Yi-chen, LU; Gu, Chenghong; Li, Furong; Zhang, Yu

doi:10.3390/en8054188

Cited by 6 publications

(4 citation statements)

References 51 publications

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“…in this case an opposite force emerges which tries to restrict the fan from moving. This force is called drag force and is calculated by the following formula in equation (13).…”

Section: Rpms and Angle Of Twistmentioning

confidence: 99%

See 1 more Smart Citation

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Khan¹,

Sherazi²,

Ali³

et al. 2021

Preprint

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The recent advancements in the field of communication have led data sharing to become an integral part of today's smart cities with the evolution of concepts such as the internet of vehicles (IoV) paradigm. As a part of IoV, Electric Vehicles (EVs) have recently gained momentum as authorities have started expanding their Low Emission Zones (LEZ) in an effort to build green cities with low carbon footprints. Energy is one of the key requirements of EVs not only to support the smooth and sustainable operation of EV itself but to also ensure connectivity between the vehicles and infrastructure with controlling devices like sensors and actuators installed within an EV. In this context, renewable energy sources (such as wind energy) dramatically play their parts in the automobile sector towards designing the energy harvesting electric vehicles (EH-EV) to pare the energy reliance on the national grid. In this article, a novel approach is presented to achieve electric generation due to vehicle mobility to support the communication primitives in electric vehicles which enables plenty of IoV use cases in the presence of surplus energy at hand. A small-scale wind turbine is designed to harness wind power for converting it into mechanical power. This power is then fed to the onboard DC generator to produce electrical energy. Furthermore, the acquired power is processed through a regulation circuitry to consequently achieve the desired power supply for the end load, i.e. the batteries installed. The suitable orientation for efficient power generation is proposed on ANSYS-based aerodynamics analysis. The voltages induced by DC generator at No-Load condition are 35V while at Full-Load 25V are generated at rated current of 6.9A, along with the generation of power at around 100W (at constant voltage) at the rated speed of 90 mph for nominal battery charging. Moreover, the acquired data can be monitored via an android application interface by using a Bluetooth module.

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“…in this case an opposite force emerges which tries to restrict the fan from moving. This force is called drag force and is calculated by the following formula in equation (13).…”

Section: Rpms and Angle Of Twistmentioning

confidence: 99%

“…The constantly increasing carbon emissions caused by the conventional gas powered vehicles have led the research efforts toward the inception of Electric Vehicles (EV) [11][12][13], being one of the greatest inventions of recent decades. The concept started to took an implementation form in the early 21st century.…”

Section: Introductionmentioning

confidence: 99%

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Khan¹,

Sherazi²,

Ali³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The constantly increasing carbon emissions caused by conventional gas-powered vehicles have led research efforts towards the inception of electric vehicles (EVs) [13][14][15], these being one of the greatest inventions of recent decades. This concept started to take form and become implemented during the early 21st century.…”

Section: Introductionmentioning

confidence: 99%

Designing a Wind Energy Harvester for Connected Vehicles in Green Cities

et al. 2021

View full text Add to dashboard Cite

Electric vehicles (EVs) have recently gained momentum as an integral part of the Internet of Vehicles (IoV) when authorities started expanding their low emission zones (LEZs) in an effort to build green cities with low carbon footprints. Energy is one of the key requirements of EVs, not only to support the smooth and sustainable operation of EVs, but also to ensure connectivity between the vehicle and the infrastructure in the critical times such as disaster recovery operation. In this context, renewable energy sources (such as wind energy) have an important role to play in the automobile sector towards designing energy-harvesting electric vehicles (EH-EV) to mitigate energy reliance on the national grid. In this article, a novel approach is presented to harness energy from a small-scale wind turbine due to vehicle mobility to support the communication primitives in electric vehicles which enable plenty of IoV use cases. The harvested power is then processed through a regulation circuitry to consequently achieve the desired power supply for the end load (i.e., battery or super capacitor). The suitable orientation for optimum conversion efficiency is proposed through ANSYS-based aerodynamics analysis. The voltage-induced by the DC generator is 35 V under the no-load condition while it is 25 V at a rated current of 6.9 A at full-load, yielding a supply of 100 W (on constant voltage) at a speed of 90 mph for nominal battery charging.

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“…This is because a bus or taxi can directly exchange a fully charged battery from the charging station without waiting. Particularly, charging stations are always equipped with a large number of batteries, which means they possess high frequency regulation capacity through making full use of retired batteries [20]. Consequently, the charging stations can be regarded as independent EV agents to participate in the frequency regulation service [21], which is crucial for power quality adjustment [22], while the power quality parameters can be estimated by the curve fitting algorithm [23].…”

Section: Introductionmentioning

confidence: 99%

Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

Tang

Ren

et al. 2019

Applied Sciences

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In order to more effectively reduce the regulation costs of power grids and to improve the automatic generation control (AGC) performance, an optimization mathematical model of generation command dispatch for AGC with an electric vehicle (EV) charging station is proposed in this paper, in which a cost consensus algorithm for AGC is adopted. Particularly, virtual consensus variables are applied to exchange information among different AGC units. At the same time, the actual consensus variables are utilized to determine the generation command, upon which the flexibility of the proposed algorithm can be significantly enhanced. Furthermore, the implement feasibility of such an algorithm is verified through a series simulation experiments on the Hainan power grid in southern China, where the results demonstrate that the proposed algorithm can effectively realize an autonomous frequency regulation of EVs participating in AGC.

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The Concept of EV’s Intelligent Integrated Station and Its Energy Flow

Cited by 6 publications

References 51 publications

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Designing a Wind Energy Harvester for Connected Vehicles in Green Cities

Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

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