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
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
Green & Sustainable Science & Technology
R. Ilango, N. Vengadachalam, V. Subha Seethalakshmi
Summary: This manuscript proposes an efficient hybrid technique for optimal allocation of electric vehicle charging spots in distribution network system. The technique combines the Forensic Investigation Algorithm (FBI) and the Archimedean Optimization Algorithm (AOA), known as FBIAOA technique. It aims to reduce power loss and cost through optimal allocation of charging spots, and also evaluates the reliability of the smart grid. The technique shows significant improvement in cost reduction and efficient global solution localization.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2022)
Article
Economics
M. Amine Masmoudi, Leandro C. Coelho, Emrah Demir
Summary: This paper investigates the problem of designing refuse vehicle routes for commercial waste collection and proposes a Hybrid Threshold Acceptance algorithm to solve the problem. Extensive computational experiments confirm the good performance of the proposed algorithm and demonstrate the benefits of using hybrid electric refuse vehicles in terms of operational costs and total distance traveled.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Chemistry, Physical
Yan Zhang, Xiayi Yuan, Lian Duan, Yanghui Xu, Fengchong Lan
Summary: The environmental temperature plays a significant role in the energy transmission of plug-in hybrid electric vehicles, while SOC is the major factor affecting generator loss.
JOURNAL OF POWER SOURCES
(2021)
Article
Thermodynamics
Piyush Girade, Harsh Shah, Karan Kaushik, Akil Patheria, Bin Xu
Summary: This paper introduces two new energy management strategies, with the Adaptive-ECMS being suitable for urban driving conditions and the Cost Optimization for Finite Horizon strategy being suitable for highway driving conditions. The new strategies show an average fuel economy improvement of 5% compared to the baseline strategy.
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
Engineering, Electrical & Electronic
Shiyao Zhou, Ziqiang Chen, Deyang Huang, Tiantian Lin
Summary: This study introduces an EMS design and optimization method for PHEVs, which has improved energy efficiency by 1.6%-2.5% and extended the energy storage system's lifespan by 159%-203% through the use of HESS and optimized EMS.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Chemistry, Physical
Jie Li, Yonggang Liu, Yuanjian Zhang, Zhenzhen Lei, Zheng Chen, Guang Li
Summary: This paper proposes a data-driven eco-driving control strategy for plug-in hybrid electric vehicles, which can improve fuel economy and computational efficiency through neural network models.
JOURNAL OF POWER SOURCES
(2021)
Review
Multidisciplinary Sciences
M. C. Annamalai, N. Amutha Prabha
Summary: This article discusses existing electric vehicle charging infrastructure, with a focus on rapid charging technologies to meet current and potential EV refueling requirements. Various DC-DC converter topologies for battery electric and plug-in hybrid vehicles are compared and contrasted in terms of performance, power output, ripples, loss, reliability, durability, and cost. The architecture, benefits, and drawbacks of AC-DC and DC-DC converter topologies for rapid charging stations are also discussed.
Article
Environmental Studies
M. Vijayaragavan, V Krishnakumar, V. Vasan Prabhu
Summary: This paper proposes a hybrid approach, named LAHBO method, for the optimal design of EV home energy management. The approach combines the Lichtenberg optimization algorithm and the heap-based optimizer to reduce costs and improve the power factor. The system consists of two phases: cost minimization and power factor improvement. The proposed method achieves better performance than existing approaches, with a cost of 0.16$ compared to 0.2$, 0.3$, and 0.35$ for CGO, SMO, and SOA, respectively.
ENERGY & ENVIRONMENT
(2023)
Article
Thermodynamics
Changyin Wei, Xiuxiu Sun, Yong Chen, Libin Zang, Shujie Bai
Summary: This paper compares the architecture and adaptive energy management strategy (EMS) for plug-in hybrid electric logistics vehicles (PHELV) with different hybrid powertrain systems using dynamic programming (DP) algorithm. An approach of adaptive EMS based on driving pattern recognition (DPR) is proposed, optimizing parameters for fuel consumption cost, fuzzy logic controller (FLC), and equivalent consumption minimization strategy (ECMS). Comparative results show improvements in fuel economy for series PHELV compared to parallel and series-parallel PHELV, with differences between optimal energy management strategies and global optimization.
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
Thermodynamics
Ziwang Lu, He Tian, Yiwen Sun, Runfeng Li, Guangyu Tian
Summary: This study proposes an energy management strategy using optimal input features, which can be implemented online and save energy for PHEVs effectively. The strategy overcomes the challenges of input feature selection and application to untrained driving cycles, and shows good performance in energy saving and computational efficiency.
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
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
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)