Article
Thermodynamics
Shradhdha Sarvaiya, Sachin Ganesh, Bin Xu
Summary: Hybrid Electric Vehicles (HEV) bridge the gap between traditional internal combustion engine vehicles and electric motor-powered vehicles. Battery life evaluation and Energy Management Strategy (EMS) play crucial roles in prolonging battery lifespan. This research compares different control strategies for battery life optimization, emphasizing the impact of parameters like temperature and current on battery aging.
Article
Energy & Fuels
Junguang Lin, Juwei Sun, Yanhao Feng, Menglian Zheng, Zitao Yu
Summary: Demand response (DR) is crucial for managing peak demand and load shifting in a community. However, the uncoordinated usage of appliances and electric vehicles (EVs) creates challenges. This study proposes two novel DR strategies involving battery-charging and battery-switching EVs, alongside community battery energy storage. A case study in New York shows significant cost reductions and improved temporal flexibility with the battery-switching EV strategy.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Bharat Singh, Ashwani Kumar
Summary: Microgrid hybrid renewable energy sources with green energy have become necessary for the environment, and the contribution of electric vehicles (EVs) is revolutionizing clean energy. The microgrid with hybrid renewable energy is cost-effective and eco-friendly. The main contribution of this study is to analyze the impact of various factors on the integration of hybrid renewable energy with EV load, minimize the system cost, and obtain the techno-economic analysis of different hybrid energy source combinations.
Article
Energy & Fuels
Friedrich von Buelow, Markus Wassermann, Tobias Meisen
Summary: This study surpasses existing battery state of health (SOH) forecasting methods by using battery pack data from real-world vehicle operation. The results show that a state-of-the-art SOH forecasting method based on histogram features works not only on laboratory battery cell data, but also on real-world battery system data.
JOURNAL OF ENERGY STORAGE
(2023)
Review
Energy & Fuels
Jia Guo, Yaqi Li, Kjeld Pedersen, Daniel-Ioan Stroe
Summary: This article systematically describes the aging mechanism of lithium-ion batteries in real-life electric vehicle applications, focusing on the aging behavior of batteries in charging, standby, and driving modes under different working conditions. It provides practical guidance and methods to prolong battery life for users, battery designers, vehicle manufacturers, and material recovery companies.
Article
Engineering, Environmental
Muhammad Shafique, Muhammad Ateeq, Muhammad Rafiq, Anam Azam, Xiaowei Luo
Summary: The acceptance of battery electric vehicles is driving the demand for LIBs materials, and proper handling of end-of-life batteries is crucial. This study used a system dynamics model to evaluate different scenarios of battery lifespan, recovery rate, and economic value in Asia. The results showed that materials demand for LIBs is higher in scenarios with higher growth rates.
Review
Energy & Fuels
Nikolaos Wassiliadis, Jakob Schneider, Alexander Frank, Leo Wildfeuer, Xue Lin, Andreas Jossen, Markus Lienkamp
Summary: Despite rapid technological progress, widespread adoption of battery electric vehicles (BEVs) is hindered by limited driving ranges and long charging times. Efforts to reduce charging times to 15 minutes, similar to refueling times for conventional vehicles, face challenges such as accelerated battery aging and safety hazards during operation. Various approaches have been explored to develop fast charging strategies for battery management systems, but consensus on the optimal solution remains elusive. This review evaluates over 50 studies on fast charging strategy determination, analyzing them based on parameterization efforts, battery types studied, and real-world applicability, to identify research gaps and enable transfer to electric vehicle applications.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Mojtaba Rahmani, Seyed Hossein Hosseinian, Mehrdad Abedi
Summary: Security Constrained Unit Commitment (SCUC) is a method used by power system operators to determine the optimal participation of generating units to meet load demand while maintaining security. The active contribution of customers through Demand Response Programs (DRPs) and coordinated Plug-In Electric Vehicle (PEV) fleets has created new opportunities for consumers in the market. Utilizing DRPs and PEVs effectively can lead to cost savings and improved system security.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Energy & Fuels
F. Hipolito, C. A. Vandet, J. Rich
Summary: The increasing interest in electric vehicle (EV) charging situation has led to the development of models that approximate the distribution of State-of-Charge (SoC) levels for EVs. These models help understand charging needs and provide crucial information for vehicle-to-grid (V2G) applications. The study suggests that a full electrification of the vehicle fleet could stress the power grid but also offers potential for deploying V2G as a mechanism to dampen high-demand effects.
Article
Engineering, Electrical & Electronic
Yongjun Zhang, Lanni Yao, Liehao Hu, Jingxu Yang, Xingyue Zhou, Wenyang Deng, Biyun Chen
Summary: This paper proposes a strategy to optimize the operation of battery swapping stations (BSS) by using spare capacity from special transformers and rooftop photovoltaics (PV). It establishes an optimization model to maximize the daily profit of BSS and introduces a demand response model. Simulation results show that this strategy can improve the daily profit of BSS and enhance the battery swapping capacity and peak-shaving ability of the battery energy storage system (BESS).
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Thermodynamics
E. Maximiliano Asensio, Guillermo A. Magallan, Laura Perez, Cristian H. De Angelo
Summary: This study proposes two strategies for predicting the power demand of the traction system in a hybrid energy storage system (HESS) in electric vehicles (EV). The strategies are based on an autoregressive (AR) model and a Kalman Filter scheme. The results show that using a Kalman filter with an AR model significantly improves the accuracy of power demand prediction and battery health preservation when applied in a nonlinear model predictive control (NMPC) strategy for power allocation.
Article
Energy & Fuels
Alberto Boretti
Summary: This study analyzes data on the energy economy and environmental friendliness of passenger cars, aiming to propose the necessary developments to reduce CO2 emissions by the end of this decade. The findings suggest that sharing battery capacity among many plug-in hybrid electric vehicles (PHEVs) rather than a few battery electric vehicles would effectively reduce CO2 emissions in the life cycle analysis of road transport until 2030. Suggestions are also provided to improve the energy efficiency of PHEVs and hydrogen fuel cell vehicles over certification cycles.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Thermodynamics
Thomas Dengiz, Patrick Jochem, Wolf Fichtner
Summary: A paradigm shift is necessary in future energy systems with high shares of renewable energy sources. This paper introduces a novel privacy-preserving decentralized optimization approach to exploit load flexibility in residential areas. Results show the dependency of optimal wind profile assignment method on the decentralized optimization approach used.
Article
Engineering, Electrical & Electronic
Hui Lin, Yichen Zhou, Yonggang Li, Haoyang Zheng, Yang Yang, Xinghao Zhen, Zhaoyuan Bian, Ziyi Yue
Summary: This paper proposes a three-stage economy optimization method for aggregators based on electric vehicle (EV) user response volumes to solve problems such as excessive peak-valley load differences, insufficient utilization of demand-side resources, and unreasonable pricing.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Energy & Fuels
Wenkuan Zhu, Ping Zhou, Dongsheng Ren, Min Yang, Xinyu Rui, Changyong Jin, Tengteng Shen, Xuebing Han, Yuejiu Zheng, Languang Lu, Minggao Ouyang
Summary: This study establishes a mechanistic calendar aging model of lithium-ion battery considering solid electrolyte interface growth. The model can simulate the battery capacity degradation and the evolution of battery charging voltage profiles, and capture the internal degradation of the electrodes during the aging process. Modeling analysis is conducted to find possible solutions to mitigate the calendar aging process of lithium-ion battery.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Binyu Xiong, Sidi Dong, Yang Li, Jinrui Tang, Yixin Su, Hoay Beng Gooi
Summary: This article proposes a new online model-based peak power estimation scheme for vanadium redox flow batteries (VRBs). The scheme accurately estimates the model parameters and system states using recursive least squares with forgetting and unscented Kalman filter. It formulates the peak power estimation as an optimal control problem based on a linear time-varying VRB model and solves it using receding horizon control (RHC). The effectiveness of the proposed scheme is experimentally verified on a 5-kW/3-kWh VRB platform.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Energy & Fuels
Jiahang Xie, Rufan Yang, Hoay Beng Gooi, Hung Dinh Nguyen
Summary: Battery thermal management is crucial for the performance and lifespan of electric vehicles and stationary applications. This paper proposes a novel virtual sensing platform that utilizes CNN and LSTM networks to extract spatial and temporal information for temperature monitoring. The PID compensator reduces the prediction error over time in a feedback loop. The virtual sensor works in both offline and online modes with real-time sensor data.
Article
Energy & Fuels
Hebin Ruan, Hongjun Gao, Haifeng Qiu, Hoay Beng Gooi, Junyong Liu
Summary: A distributed operation optimization model incorporating peer-to-peer (P2P) electricity trading in a blockchain environment is proposed in this paper, considering network usage fees considering electrical distance and ensuring the private information security of prosumers. A network partitioning method via dynamic reconfiguration is offered to adapt to the required distributed manner, and the operation network and market structure can be automatically updated according to the results of dynamic reconfiguration. Case studies verify the effectiveness of the proposed model.
Article
Engineering, Multidisciplinary
Ning Xu, Hoay Beng Gooi, Lipo Wang, Yuanjin Zheng, Wensong Wang, Jiawei Yang
Summary: Partial discharge (PD) is a major factor contributing to power failures, and its timely and accurate detection is crucial for maintaining power system stability. This paper proposes a loop optimization noise-reduced LSTM-based classifier for PD detection, which effectively combines noise reduction, feature extraction, and the LSTM neural network. The proposed method outperforms other techniques in the literature, achieving an accuracy of 95.4% in detecting PD in medium voltage overhead power lines.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Haifeng Qiu, Hoay Beng Gooi
Summary: In this paper, a unified mixed-integer linear programming (MILP) solution framework is proposed to mitigate the high computational cost of adaptive robust optimization with a mixed-integer recourse objective in real-world power scheduling. Numerical tests verify the superiority and practicability of the proposed solution framework over the existing decomposition-based solution algorithms.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Hongxu Huang, Zhengmao Li, Lahanda Purage Mohasha Isuru Sampath, Jiawei Yang, Hung D. D. Nguyen, Hoay Beng Gooi, Rui Liang, Dunwei Gong
Summary: In this paper, a blockchain-enabled distributed market framework is proposed for the bi-level carbon and energy trading between coal mine integrated energy systems (CMIESs) and a virtual power plant (VPP) with network constraints. The bi-level trading problem is formulated as a Stackelberg game, considering integrating the energy market and the cap-and-trade carbon market mechanism, in order to maximize the profits of these two entities and describe their complicated interactions in the market. The proposed method effectively reduces the system operation cost and regional carbon emission, while protecting the privacy of each participant.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Energy & Fuels
Wenchao Zhu, Bingxin Guo, Yang Li, Yang Yang, Changjun Xie, Jiashu Jin, Hoay Beng Gooi
Summary: In this paper, a B-GRU model combining Bayesian Theory and GRU is proposed for predicting the voltage decay phenomenon in fuel cells. The B-GRU outperforms traditional neural networks in point and interval estimation results, and exhibits excellent ability for noise immunity and uncertainty quantification.
Article
Green & Sustainable Science & Technology
Changzhi Li, Wei Lin, Hangyu Wu, Yang Li, Wenchao Zhu, Changjun Xie, Hoay Beng Gooi, Bo Zhao, Leiqi Zhang
Summary: In this work, a novel hybrid data-driven PEMFC performance prediction framework is proposed, which decomposes the raw voltage data into sequences of multiple time scales using complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), and predicts the linear and nonlinear components in the decomposed sequences by autoregressive integrated moving average (ARIMA) and attention-based gated recurrent unit (GRU), respectively. Comparative studies on an open-source dataset of PEMFCs show that the proposed method can improve the prediction performance by 42.6%-84.2% on FC1 and 35.0%-90.6% on FC2, compared to state-of-the-art algorithms.
Article
Engineering, Electrical & Electronic
Yun Liu, Chao Sun, Amrit Paudel, Yunqiang Gao, Yuanzheng Li, Hoay Beng Gooi, Jizhong Zhu
Summary: This paper proposes a fully decentralized dual-loop peer-to-peer energy trading mechanism that enables secure energy transactions and solves voltage constraint issues in distributed energy systems.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Energy & Fuels
Haifeng Qiu, Ashwin Vinod, Shuai Lu, Hoay Beng Gooi, Guangsheng Pan, Suhan Zhang, Veerapandiyan Veerasamy
Summary: This paper proposes a novel decentralized mixed-integer optimization method for robust coordination involving multiple stakeholders in the integrated electricity and heat system (IEHS). The proposed method achieves computational efficiency several tens of times faster than the traditional distributed robust optimization method, while still guaranteeing solution optimality.
Article
Energy & Fuels
Chao Sun, Yun Liu, Yuanzheng Li, Shunjiang Lin, Hoay Beng Gooi, Jizhong Zhu
Summary: This paper investigates the network-aware peer-to-peer multi-energy scheduling and trading scheme. A decentralized dual-loop P2P-MEST scheme with dynamically updated loss factors is proposed to accurately consider energy transfer loss and indirectly handle physical operational constraints.
Article
Energy & Fuels
Ujjal Manandhar, Xinan Zhang, Gooi Hoay Beng, Lalitha Subramanian, Herbert H. C. Lu, Tyrone Fernando
Summary: This paper presents an enhanced control and energy management strategy for the remote isolated power system, including hybrid energy storage system control and novel battery state of charge stop control. It improves the transient response, extends battery lifespan, maximizes renewable energy usage, and reduces maintenance costs. Real-time simulation studies validate the effectiveness of the proposed control method and energy management system.
Article
Engineering, Electrical & Electronic
Haifeng Qiu, Hoay Beng Gooi, Hongjun Gao, Veerapandiyan Veerasamy, Yuanzheng Li
Summary: This paper proposes a hierarchical three-stage robust optimization method to tackle the cooperative strategic bidding problem with uncertainties in smart community grids. The method establishes a novel bidding model based on a bilayer coordination framework and ensures privacy preservation for each prosumer to conduct its own robust scheduling. Numerical tests validate the applicability and superiority of the proposed method for power bidding in smart community grids.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Automation & Control Systems
Veerapandiyan Veerasamy, Haifeng Qiu, Amer Mohammad Yusuf Mohammad Ghias, Kapil Chauhan, Hung Dinh Nguyen, Hoay Beng Gooi
Summary: This article proposes a federated-learning-based second-order recurrent neural network (SORNN-FL) controller for distributed frequency control in a multimicrogrid system. The controller improves network performance through weight updates and protects data security using differential privacy mechanism. Extensive research and experiments demonstrate that the controller is robust and efficient.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Energy & Fuels
Binyu Xiong, Jinrui Tang, Yang Li, Peng Zhou, Shaofeng Zhang, Xinan Zhang, Chaoyu Dong, Hoay Beng Gooi
Summary: This paper presents a novel data-driven approach that incorporates flow rates into VRB modeling, enhancing data processing capabilities and prediction accuracy. The proposed model adopts a GRU neural network as its fundamental framework and demonstrates its superiority through experiments and comparative analyses.
JOURNAL OF ENERGY STORAGE
(2023)
