Design Analysis of High-Power Level 4 Smart Charging Infrastructure Using Next-Generation Power Devices for EVs and Heavy Duty EVs

被引:4
作者
Ilahi, Tehseen [1 ,2 ]
Izhar, Tahir [1 ]
Zahid, Muhammad [2 ]
Rasool, Akhtar [3 ]
Tsamaase, Kelebaone [3 ]
Zahid, Tausif [2 ]
Khan, Ehtisham Muhammad [2 ]
机构
[1] Univ Engn & Technol, Dept Elect Engn, Lahore 54890, Pakistan
[2] Riphah Int Univ, Dept Elect Engn, Lahore 54000, Pakistan
[3] Univ Botswana, Dept Elect Engn, Gaborone 0061, Botswana
关键词
ultra-fast charger; heavy electric vehicles charging; next-generation power devices; bidirectional converters; MATLAB Simscape modeling; PREFERENCES; PURCHASE;
D O I
10.3390/wevj15020066
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Trending electric vehicles with different battery technologies need universally compatible and fast chargers. Present semiconductor technology is not suitable for designing high-power-rating converters. The increasing demand for high-capacity electric vehicle chargers requires efficient and optimum advanced material technology. This research presents next-generation material-based smart ultra-fast electric vehicle charging infrastructure for upcoming high-capacity EV batteries. The designed level 4 charger will be helpful for charging future heavy-duty electric vehicles with battery voltages of up to 2000 V. The designed infrastructure will be helpful for charging both EVs and heavy-duty electric trucks with a wide range of power levels. Wireless sensor-based smart systems monitor and control the overall charging infrastructure. The detailed design analysis of the proposed charger using the Simscape physical modeling tool is discussed using mathematical equations.
引用
收藏
页数:15
相关论文
共 44 条
[31]  
Rashid M.H., 2017, Magnetic Design Considerection, Power Supplies Chapter 13, Power Electronics: Circuits, Devices & Applications, V4
[32]  
Razzak T., 2018, P 2018 IEEE MTT S IN, P17, DOI [10.1109/IMWS-AMP.2018.8457144, DOI 10.1109/IMWS-AMP.2018.8457144]
[33]   Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration [J].
Richardson, David B. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 19 :247-254
[34]   Internet of Things based real-time electric vehicle load forecasting and charging station recommendation [J].
Savari, George F. ;
Krishnasamy, Vijayakumar ;
Sathik, Jagabar ;
Ali, Ziad M. ;
Aleem, Shady H. E. Abdel .
ISA TRANSACTIONS, 2020, 97 :431-447
[35]   Toward Extreme Fast Charging [J].
Srdic, Srdjan ;
Lukic, Srdjan .
IEEE ELECTRIFICATION MAGAZINE, 2019, 7 (01) :22-31
[36]   A Survey on the Electrification of Transportation in a Smart Grid Environment [J].
Su, Wencong ;
Rahimi-Eichi, Habiballah ;
Zeng, Wente ;
Chow, Mo-Yuen .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2012, 8 (01) :1-10
[37]   Physical Modeling based Simulators to Support Teaching in Automatic Control: the Rotatory Pendulum [J].
Tejado, Ines ;
Torres, Daniel ;
Perez, Emiliano ;
Vinagre, Blas M. .
IFAC PAPERSONLINE, 2016, 49 (06) :75-80
[38]   Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning [J].
Town, Graham ;
Taghizadeh, Seyedfoad ;
Deilami, Sara .
ENERGIES, 2022, 15 (04)
[39]   IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities [J].
Urooj, Shabana ;
Alrowais, Fadwa ;
Teekaraman, Yuvaraja ;
Manoharan, Hariprasath ;
Kuppusamy, Ramya .
ENERGIES, 2021, 14 (04)
[40]  
vicorpower, Accelerate Vehicle Electrification with the Smallest, Lightest Power Modules|Vicor|Automotive