Article
Energy & Fuels
Ahmet Mandev, Patrick Plotz, Frances Sprei, Gil Tal
Summary: This study investigated the charging behavior of plug-in hybrid electric vehicles (PHEV) and found that most users do not charge their vehicles overnight and engage in additional charging on 20-26% of driving days. The study also indicated that the utility factor should not be the sole measure of PHEV environmental performance.
Article
Energy & Fuels
Ahmet Mandev, Patrick Ploetz, Frances Sprei, Gil Tal
Summary: The study investigated the daily charging behavior of over 10,000 Chevrolet Volt PHEVs and found that a percentage of users do not charge overnight, while additional charging occurs on 20-26% of driving days. It also concluded that the utility factor should not be the sole measure of environmental performance for PHEVs.
Article
Energy & Fuels
Agnieszka Dudziak, Pawel Drozdziel, Monika Stoma, Jacek Caban
Summary: The automotive market is rapidly evolving, with a focus on intelligent vehicles that incorporate modern technology and support systems. There is a growing presence of cars with a high level of driving autonomy. This article discusses the concept of BEV and PHEV vehicles in relation to modern solutions and their levels of autonomy. The research conducted among various groups of respondents reveals that PHEV hybrid vehicles and electric vehicles (BEV) are believed to be the dominant types of vehicles currently and in the near future in Poland, with an average level of autonomy.
Article
Engineering, Civil
Morteza Dabbaghjamanesh, Abdollah Kavousi-Fard, Jie Zhang
Summary: This study investigates the impact of different charging modes of plug-in hybrid electric vehicles on the optimal operation of microgrids, proposing a solution with smart PHEVs and utilizing reconfiguration techniques and optimization algorithms to handle nonlinearity and uncertainties in the problem.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Energy & Fuels
Moein Moeini-Aghtaie, Payman Dehghanian, Mehdi Davoudi
Summary: This paper proposes a multi-criteria framework to coordinate the charging behaviors of PHEVs within an energy hub platform. By considering multiple criteria such as the convenience of PHEV owners, the profit of the energy hub, and the technical performance of the distribution grid, the optimal charging patterns for PHEVs are obtained.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Xie Zeng, Muhammad Shahzad Nazir, Mehrdad Khaksar, Kentaro Nishihara, Hai Tao
Summary: With the increasing global energy demand and environmental concerns, renewable energy sources are being utilized as alternatives to fossil fuels. The transportation sector is shifting towards electrified vehicles, such as PEVs and PHEVs, which can connect to the grid for energy exchange. The concept of microgrids is introduced to integrate RESs and optimize the capabilities of electric vehicles through smart infrastructure.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Kai Gao, Pan Luo, Jin Xie, Bin Chen, Yue Wu, Ronghua Du
Summary: This paper proposes an improved energy management strategy for plug-in hybrid electric vehicles (PHEVs) by integrating driving intention and LIDAR data to achieve accurate speed prediction and optimize energy management in real-time.
Article
Green & Sustainable Science & Technology
Ali-Mohammad Hariri, Maryam A. Hejazi, Hamed Hashemi-Dezaki
Summary: This article introduces a new analytical model to determine the appropriate number of PHEVs states while ensuring speed and accuracy of reliability calculations. It also studies the impacts of various stochastic parameters on the adequacy evaluation of PHEVs, and achieves positive results in an actual electric distribution network.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Hossein Jafari Siahroodi, Hamed Mojallali, Seyed Saeid Mohtavipour
Summary: This study presents a new stochastic multi-objective framework for utilizing plug-in electric vehicles (PEVs) in reactive power compensation in a distribution grid. The proposed framework can optimize the reactive capability curve and total network loss simultaneously, providing economic and technical advantages. Additionally, a hybrid algorithm combining gray wolf optimization and differential evolution algorithm is presented for solving the multi-objective problem, with the best compromise solution selected using fuzzy decision-making approach.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Energy & Fuels
Shuntaro Nakayama, Shinpei Oie, Atsushi Shiota, Yasunori Mitani, Masayuki Watanabe
Summary: In this research, a PHEV energy management system was constructed using driving data and GIS technology to optimize energy consumption and driving cost. The study showed that pre-charging on roads with high power generation efficiency can reduce fuel consumption.
Article
Engineering, Electrical & Electronic
Natalia Romero, Koos van der Linden, German Morales-Espana, Mathijs M. de Weerdt
Summary: The power system is adapting to the intermittency and uncertainty of renewable generation by utilizing flexibility from loads such as electric vehicles to maintain supply-demand balance. However, there are computational challenges for aggregators in reserve markets due to rules that require bidding on both volume and price, as well as a minimum-volume constraint.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Alessandro Tansini, Jelica Pavlovic, Georgios Fontaras
Summary: Plug-in hybrid electric vehicles (PHEVs) are considered favorable transitional technology for road transport electrification. However, recent studies challenge their effectiveness in reducing CO2 emissions in real-world conditions. This study tested four Euro 6 PHEVs and found that their in-use CO2 emissions can range from 0 to 6 times the official type-approval CO2 value. A three-dimensional CO2 emissions model is proposed based on charge level and average trip speed or wheel energy. The study concludes that, although real-world emissions of PHEVs may increase compared to official values, they still generally remain lower than conventional powertrains.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Abdullah Dik, Siddig Omer, Rabah Boukhanouf
Summary: Low carbon and renewable energy sources are increasingly being used to meet electricity demands and reduce carbon emissions. The electrification of the transport sector, along with the installation of renewable energy capacity, power storage technology, and energy demand management, presents an opportunity for innovation in the energy market. Electric vehicles have the potential to serve as both means of transportation and dynamic energy vectors interfacing with the grid, buildings, and other systems.
Article
Green & Sustainable Science & Technology
Z. Chen, Y. Liu, M. Ye, Y. Zhang, G. Li
Summary: Hybrid electric vehicles use a combination of fuel and electric power as power supply to improve fuel economy, requiring a well-designed energy management strategy to cope with the complexity of power distribution. Equivalent consumption minimisation strategy, with the use of an equivalent factor, is a promising technique for achieving real-time fuel economy optimisation and is classified based on its dependence on either online computation or offline pre-computation.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Thermodynamics
Shaohua Wang, Kaimei Zhang, Dehua Shi, Meng Li, Chunfang Yin
Summary: This study focuses on a specific vehicle model known as the multi-gear and multi-mode parallel plug-in hybrid electric vehicle (MGMMP-PHEV) and proposes an enhanced shifting strategy to improve system efficiency and ensure battery charge-discharge balance.
Article
Engineering, Electrical & Electronic
Hassan Feshki Farahani, Farzan Rashidi
IET SCIENCE MEASUREMENT & TECHNOLOGY
(2017)
Article
Green & Sustainable Science & Technology
Hassan Feshki Farahani, Abdorreza Rabiee, Mohammad Khalili
JOURNAL OF CLEANER PRODUCTION
(2017)
Article
Green & Sustainable Science & Technology
Hassan Feshki Farahani, Farzan Rashidi
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY
(2017)
Article
Computer Science, Artificial Intelligence
Hassan Feshki Farahani, Jamshid Aghaei, Farzan Rashidi
NEURAL COMPUTING & APPLICATIONS
(2018)
Review
Green & Sustainable Science & Technology
Alireza Khodakarami, Hassan Feshki Farahani, Jamshid Aghaei
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2017)
Article
Computer Science, Interdisciplinary Applications
Hassan Feshki Farahani, Farzan Rashidi
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
(2017)
Article
Engineering, Electrical & Electronic
Amin Beirami, Hassan Feshki Farahani
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2018)
Correction
Engineering, Electrical & Electronic
Amin Beirami, Hassan Feshki Farahani
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2019)
Article
Energy & Fuels
Shahram Golzari, Farzan Rashidi, Hassan Feshki Farahani
Article
Engineering, Electrical & Electronic
Hassan Feshki Farahani
IET SCIENCE MEASUREMENT & TECHNOLOGY
(2020)
Article
Construction & Building Technology
Farhad Samaie, Hassan Meyar-Naimi, Shahram Javadi, Hassan Feshki-Farahani
SUSTAINABLE CITIES AND SOCIETY
(2020)
Article
Green & Sustainable Science & Technology
Farhad Samaie, Shahram Javadi, Hassan Meyar-Naimi, Hassan Feshki-Farahani
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2020)
Article
Engineering, Electrical & Electronic
Ali Moghimi, Mahmood Hosseini Aliabadi, Hassan Feshki Farahani
Summary: This paper presents the electromagnetic modeling, prototype realization, and test validation of a new triple-speed coaxial magnetic gear for high torque/volume applications. The proposed gear, with three rotors and an optimal design formula, showed increased torque and efficiency compared to a conventional model. Experimental results confirmed higher torque density and superior performance of the proposed structure.
ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
A. Beirami, H. Feshki Farahani, R. Mohammad Rahimi, S. Amini
Summary: The article presents a two-dimensional magnetic equivalent circuit method based on coaxial magnetic gears to determine the magnetic field distribution of Halbach permanent magnet arrays (HPMAs), as well as extracting the dynamic model of HCMG and calculating its pull-out torque and output speed. The effectiveness of the proposed model is validated by comparing the results for a sample HCMG with finite element analysis method results.
IET CIRCUITS DEVICES & SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Ali Moghimi, Mahmood Hosseini Aliabadi, Hassan Feshki Farahani
Summary: The authors introduce a new type of triple-speed coaxial magnetic gear and analyze its operation with sensitivity analysis. Various factors affecting the TSCMG performance are evaluated, and both preliminary and optimal design parameters are applied for simulation. The designed TSCMG is validated with a prototype, showing improved performance.
IET ELECTRIC POWER APPLICATIONS
(2021)
