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Ze-Yang Tang, Qi-Biao Hu, Yi-Bo Cui, Lei Hu, Yi-Wen Li and Yu-Jie Li
This paper aims to address the issue of evaluating the operation of electric vehicle charging stations (EVCSs). Previous studies have commonly employed the method of constructing comprehensive evaluation systems, which greatly relies on manual experience...
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Nick Rigogiannis, Ioannis Bogatsis, Christos Pechlivanis, Anastasios Kyritsis and Nick Papanikolaou
Road transportation accounts for about 20% of the total GHG emissions in the EU. Nowadays, the substitution of conventional fossil fuel-based ICEs with electric engines, or their hybridization, operating along with Energy Storage Systems, seems to be the...
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Quynh T. Tran, Leon Roose, Chayaphol Vichitpunt, Kumpanat Thongmai and Krittanat Noisopa
EV development is being prioritized in order to attain the target of net zero emissions by 2050. Electric vehicles have the potential to decrease greenhouse gas (GHG) emissions, which contribute to global warming. The driving range of electric vehicles i...
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Vijaya Kumar Jonnalagadda, Narasimhulu Tammminana, Raja Rao Guntu and Surender Reddy Salkuti
This paper proposes a NCPM (Nano-composite coated permanent magnets)-based IPMSM (Interior Permanent Magnet Synchronous Motor) electric drive system, especially applicable for electric vehicles (EV). For an EV, an increase in the ?T/A (torque per ampere)...
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Guwon Yoon, Seunghwan Kim, Haneul Shin, Keonhee Cho, Hyeonwoo Jang, Tacklim Lee, Myeong-in Choi, Byeongkwan Kang, Sangmin Park, Sanghoon Lee, Junhyun Park, Hyeyoon Jung, Doron Shmilovitz and Sehyun Park
Energy prediction models and platforms are being developed to achieve carbon-neutral ESG, transition buildings to renewable energy, and supply sustainable energy to EV charging infrastructure. Despite numerous studies on machine learning (ML)-based predi...
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