Analysis of multiple segmented transmitters design in dynamic wireless power transfer for electric vehicles charging

Mou, Xiaolin; Sun, Hongjian

doi:10.1049/el.2016.3340

Cited by 14 publications

(10 citation statements)

References 9 publications

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“…In majority intervals, the driving speed was relatively stable between 103 km/h (64 mph) and 120 km/h (75 mph), which complied with the speed limit of British Motorways at 112 km/h (70 mph) [45]. In addition, [46] proved that the driving speeds had no impact on the power transfer efficiency of multiple segmented dynamic charging systems. Therefore, it is reasonable for our adaptive dynamic wireless charging system to operate based on the traffic flow rather than the driving speed.…”

Section: Case Studymentioning

confidence: 67%

Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles Through Renewable Energy Integration

Mou

Ying-ji²,

Jiang

et al. 2019

IEEE Access

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Dynamic wireless charging for Electric Vehicles (EVs) can promote the take-up of EVs due to its potential of extending the driving range and reducing the size and cost of batteries of EVs. However, its dynamic charging demand and rigorous operation requirements may stress the power grid and increase carbon emissions. A novel adaptive dynamic wireless charging system is proposed that enables mobile EVs to be powered by renewable wind energy by taking advantages of our proposed traffic flow-based charging demand prediction programme. The aim is to cut down the system cost and carbon emissions at the same time, whilst realising fast demand prediction and supply response as well as relieving the peak demand on the power grid. Simulation results show that the proposed system can adaptively adjust the demand side energy response according to customers' welfare analysis and charging price, thereby to determine the power supply method. Moreover, due to the prioritised use of renewable energy, EV charging system requires less electricity from the power grid and thus the overall carbon emissions are reduced by 63.7%. INDEX TERMS Dynamic wireless charging, electric vehicles, renewable energy, demand response.

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Section: Case Studymentioning

confidence: 67%

Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles Through Renewable Energy Integration

Mou

Ying-ji²,

Jiang

et al. 2019

IEEE Access

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“…These subcarriers are allocated to K I and the others are allocated to K E . Afterwards, the optimized P and K are substituted into (11) to update for the next iteration. By iterations, the optimal harvested energy can be obtained when converges.…”

Section: A Energy Harvesting Maximization Algorithm For the Downlinkmentioning

confidence: 99%

“…Factually, IoT belongs to energy-limited wireless networks in which mobile terminals are typically powered by batteries [8], [9]. In order to extend terminals' service time, rechargeable battery seems to be an optional solution [10], [11], but it is bulky, costly and potentially dangerous [12]. As an emerging and promising technique, Simultaneous Wireless Information and Power Transfer (SWIPT), which can harvest Radio Frequency (RF) energy from the surrounding environment to support information transmission, has attracted widespread attention [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

Joint Uplink and Downlink Resource Allocation for the Internet of Things

Zhang

Jia

et al. 2019

IEEE Access

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High-efficiency utilization of resources has always been the major concern and design objective in the Internet of Things (IoT). In this paper, an orthogonal frequency division multiplexing-based wireless system model for IoT is proposed, where the simultaneous wireless information and power transfer and the non-orthogonal multiple access (NOMA) are jointly used to improve the energy and spectrum utilization. Specifically, terminals can decode information and harvest energy simultaneously in the downlink and transmit signals to the access point (AP) in the uplink. Then, the AP decodes terminals' information based on NOMA. A joint uplink and downlink resource allocation scheme is proposed with the optimization objective to maximize the sum information decoding rate in the uplink under the condition that the target sum information decoding rate in the downlink is guaranteed. To solve the optimization problem, a two-step algorithm is proposed. For the first step, a joint subcarrier and power allocation algorithm is designed to maximize the harvested energy of terminals in the downlink. For the second step, a subslot optimization algorithm is designed to increase the sum information decoding rate in the uplink. Simulation results demonstrate that, compared with the conventional algorithms, the proposed algorithm can not only achieve the maximization of harvested energy but also support higher sum information decoding rate in the uplink.

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“…Salah satu permasalahan pada sistem transfer daya nirkabel yang telah diterapkan adalah lamanya waktu yang dibutuhkan untuk melakukan charging pada suatu perangkat elektronik. Hal ini dikarenakan daya yang ditransfer oleh sistem cenderung konstan tanpa memperdulikan kondisi daya yang tersedia pada baterai yang diisi [4].…”

Section: Pendahuluanunclassified

Rancang Bangun Sistem Pengisian Baterai Nirkabel Menggunakan Mikrokontroler Teensy

Haq¹,

Rivai²,

Tasripan³

2019

JTITS

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Saat ini pemanfaatan transfer daya nirkabel sudah semakin marak. Hal ini dikarenakan transfer daya nirkabel memiliki kelebihan dimana penggunaannya lebih mudah dikarenakan tidak perlu terjadi kontak secara langsung. Pada penelitian ini, telah dibuat suatu sistem transfer daya secara nirkabel yang diperuntukkan pada stasiun pengisian baterai. Sistem transfer daya yang telah terealisasi berupa prototype fungsional yang mampu mengisi daya baterai lead-acid 6 Volt dengan kapasitas 4,5 Ah. Metode transfer daya nirkabel yang digunakan adalah metode resonant inductive coupling yang dapat bekerja secara optimal pada frekuensi 91 kHz. Pembangkitan listrik AC dengan frekuensi tersebut menggunakan H-Bridge yang dikontrol dengan microcontroller Teensy. Transfer daya nirkabel dapat berfungsi secara optimal pada jarak 20 cm. Pada sistem pengisian daya terdapat kontrol pengisian daya constant current-constant voltage (CC-CV). Dengan adanya metode kontrol CC-CV, maka diharapkan sistem dapat mengisi daya lebih cepat dan menjaga keawetan baterai lebih lama jika dibandingkan dengan metode kontrol CC atau CV saja. Pada penelitian ini parameter transfer daya nirkabel antara lain jenis rangkaian kompensasi, jarak, dan duty cycle dari sumber D, telah diuji hingga didapatkan efisiensi mencapai 52 persen pada jarak sejauh 20 centimeter.

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Analysis of multiple segmented transmitters design in dynamic wireless power transfer for electric vehicles charging

Cited by 14 publications

References 9 publications

Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles Through Renewable Energy Integration

Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles Through Renewable Energy Integration

Joint Uplink and Downlink Resource Allocation for the Internet of Things

Rancang Bangun Sistem Pengisian Baterai Nirkabel Menggunakan Mikrokontroler Teensy

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