Article
Engineering, Electrical & Electronic
M. P. Anand, Bagen Bagen, Athula Rajapakse
Summary: This paper proposes a comprehensive methodology for reliability-oriented distribution system analysis, considering the complex interactions between electric vehicles and photovoltaic power production. Stochastic models and Monte Carlo simulation are used to analyze various scenarios, and computational models such as the electric vehicle charging station model, reliability evaluation model, and economic evaluation model are proposed. Sensitivity analysis is performed, and an optimization algorithm is used to choose the optimal resource sizes.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Thermodynamics
Zhiguo Wang, Hongqian Wei, Gongwei Xiao, Youtong Zhang
Summary: This paper proposes a real-time energy management strategy for HEVs considering battery health. By predicting battery health status and SOC values and integrating energy optimization and online equivalent consumption minimization strategy, the proposed strategy aims to save energy and improve handling adaptiveness. Simulation and experimental tests have validated its superiority in terms of energy economy and maneuverability.
ENERGY CONVERSION AND MANAGEMENT
(2022)
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
Engineering, Aerospace
Zirui Liao, Shaoping Wang, Jian Shi, Dong Liu, Rentong Chen
Summary: This paper introduces the importance and challenges of configuration design for more electrical vehicles. It proposes a multi-objective optimization approach and validates its effectiveness through experiments.
Article
Energy & Fuels
Zhen Zhang, Tiezhu Zhang, Jichao Hong, Hongxin Zhang, Jian Yang
Summary: This article proposes a master-slave hybrid electric vehicle (MSHEV) with multiple energy sources, which transitions between different working modes and has lower power consumption and energy loss compared to electric vehicles (EVs) under actual driving conditions. By optimizing the battery state of charge and constructing a Response Surface Model-based approximate model and Multi-Island Genetic Algorithm-based optimization model, the energy management of the optimized MSHEV is enhanced, indicating significant importance and reference value in the optimization of energy management of hybrid electric vehicles.
Article
Energy & Fuels
Ceyda Kok, Suha O. Mert
Summary: The use of green energy, such as fuel cell vehicles, has been increasing due to concerns about CO2 emissions. However, battery electric vehicles still face range problems and hybrid electric vehicles have yet to reach desired emission levels. In this study, different fuel cell + battery, fuel cell + supercapacitor, and fuel cell + battery + supercapacitor topologies were compared in terms of energy and exergy efficiencies for various driving cycles. The use of both energy and exergy terminologies is crucial in evaluating system performance and losses in these topologies.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(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
Thermodynamics
Yousif M. Alkhulaifi, Naef A. A. Qasem, Syed M. Zubair
Summary: This paper compares the performance of an ejector-based battery thermal management system (BTMS) to a basic system from thermal and exergoeconomic perspectives. The results show that the ejector-based system has a lower total cost rate and energy consumption, demonstrating its technical and economic feasibility for thermal management in electric and hybrid electric vehicles.
Article
Thermodynamics
Jony Javorski Eckert, Tarsis Prado Barbosa, Samuel Filgueira da Silva, Fabricio Leonardo Silva, Ludmila C. A. Silva, Franco Giuseppe Dedini
Summary: This paper presents a comprehensive optimization procedure for a series electric hydraulic hybrid vehicle powertrain and control, achieving maximum driving range and battery lifespan while minimizing onboard energy storage system mass. The results indicate that this powertrain architecture is attractive in terms of sustainability and economy, reducing battery aging effectively through the use of a high power density hydraulic accumulator.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
Mohammadali Kargar, Chen Zhang, Xingyong Song
Summary: This article studies the problem of autonomous hybrid electric vehicles following a leader, integrating the external dynamics and powertrain dynamics for optimization. A customized control strategy based on Approximate Dynamic Programming and neural networks is proposed, and the accuracy of the optimization solution is improved by applying the concept of reachable sets. Three case studies demonstrate that the examined integrated control strategy significantly improves fuel consumption compared to the separated optimization method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Electrochemistry
Qiao Zhang, Xu Chen, Shaoyi Liao
Summary: This study introduces an energy flow distribution control strategy for hybrid energy storage systems, which combines wavelet transform algorithm, fuzzy logic controller, and Markov chain model to achieve multiple control objectives. The strategy extracts low frequency power demand from load power using the wavelet transform algorithm, assigns the remaining high frequency power demand to a supercapacitor, and protects the battery from rapid heat generation. A fuzzy logic controller is constructed to minimize battery peak current, and a Markov chain model is used to predict future driving cycle information and improve the fuzzy controller. The proposed strategy is validated through comparison with other algorithms using an experimental test platform for hybrid energy storage systems.
INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE
(2022)
Article
Energy & Fuels
Fatma Gulsen Erdinc
Summary: In this study, a comfort violation minimization oriented energy management strategy is proposed for a standalone EV service station. The strategy aims to minimize the discomfort of EV owners, ensure fairness in energy distribution, and optimize the use of renewable energy sources. Simulation results show the importance of balancing larger component investments and customer dissatisfaction.
JOURNAL OF ENERGY STORAGE
(2023)
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
Christoph Gehbauer, Douglas R. Black, Peter Grant
Summary: The demand for local power resilience is driving the installation of renewable-based microgrids, and plug-in electric vehicles (PEVs) can play a critical role in this. PEVs have the capability for bi-directional charging and discharging, allowing them to balance renewable energy generation and shape electricity demand. However, accelerated battery degradation is a concern when using PEV batteries for purposes other than driving. This study assesses the economics and trade-offs of bi-directional use of PEVs as fleet vehicles and shows that the benefits can outweigh the costs without managing battery health, and can be even greater when actively managing battery health through advanced control strategies.
Review
Chemistry, Physical
Gang Zhao, Xiaolin Wang, Michael Negnevitsky, Hengyun Zhang
Summary: The BTMS is crucial for battery performance in EVs and HEVs, with air-cooling BTMS being widely used in the industry due to its compact structure, reliability, and safety characteristics. By introducing new concepts, innovative designs, and novel thermally conductive materials, the air-cooling efficiency can be greatly improved.
JOURNAL OF POWER SOURCES
(2021)
Article
Automation & Control Systems
Anirudh Allam, Simona Onori
Summary: This article introduces a method for monitoring the state and capacity of aging batteries using electrochemical models and temperature-dependent models. By means of an adaptive observer, the estimation of states and aging parameters is achieved, and validation results demonstrate its accuracy and robustness.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2021)
Article
Electrochemistry
Seong Beom Lee, Simona Onori
Summary: This study presents a robust and sleek implementation of a Doyle-Fuller-Newman electrochemical battery model for lithium-ion batteries in a MATLAB (R) framework as an open-access MATLAB code. The study successfully simulates the DFN model when the battery undergoes high C-rates of operations using standard solvers.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Engineering, Mechanical
Abdullah-al Mamun, Qilun Zhu, Mark Hoffman, Simona Onori
Summary: The study developed a physics-based TWC model for air-fuel ratio control using an MPC strategy, which can follow the nonlinear model with minimal error during normal operation. The LMPC framework developed from the linearized TWC oxygen storage model proved suitable for tracking a desired oxygen storage level.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2021)
Article
Energy & Fuels
Federico Dettu, Gabriele Pozzato, Denise M. Rizzo, Simona Onori
Summary: This paper introduces an exergy-based analysis for ground vehicles, creating a comprehensive modeling framework to quantify exergy transfer and destruction phenomena. Through case studies on an electric vehicle and a hybrid electric vehicle, the model's capabilities in quantifying, locating, and ranking exergy losses are demonstrated.
Article
Electrochemistry
Gabriele Pozzato, Aki Takahashi, Xueyan Li, Donghoon Lee, Johan Ko, Simona Onori
Summary: In this paper, a core-shell enhanced single particle model for lithium iron phosphate (LiFePO4) battery cells is formulated, implemented, and verified. The model describes the positive and negative electrode charge and mass transport dynamics, as well as the intercalation and deintercalation phenomena and associated phase transitions. The governing partial differential equations are discretized and converted into a system of ordinary differential equations for numerical simulation. Sensitivity analysis is performed to determine the best settings for robust and accurate numerical solutions. The model is also verified against experimental data for different C-rate scenarios.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Multidisciplinary Sciences
Gabriele Pozzato, Anirudh Allam, Simona Onori
Summary: This paper presents an experimental dataset of lithium ion battery cells, which were subjected to a typical electric vehicle discharge profile and periodically characterized through diagnostic tests. The dataset enables the characterization of battery aging under real-driving scenarios, facilitating the development of models and management strategies for electric vehicle applications.
Article
Electrochemistry
Gabriele Pozzato, Aki Takahashi, Xueyan Li, Donghoon Lee, Johan Ko, Simona Onori
Summary: In this paper, a core-shell enhanced single particle model for iron-phosphate battery cells is formulated, implemented, and verified. The positive electrode intercalation and deintercalation phenomena and associated phase transitions are described with the core-shell modeling paradigm. The best setting for numerical solutions is determined through a sensitivity analysis.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Electrochemistry
Gabriele Pozzato, Aki Takahashi, Xueyan Li, Donghoon Lee, Johan Ko, Simona Onori
Summary: This paper discusses the limitations of the recently published core-shell enhanced single particle model for lithium iron-phosphate and proposes a new solution by modifying the model to eliminate the jump discontinuity in positive particle surface concentration.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Automation & Control Systems
Simone Fasolato, Anirudh Allam, Xueyan Li, Donghoon Lee, Johan Ko, Simona Onori
Summary: This letter presents a reduced-order modeling paradigm to transform the high-dimensional model of lithium iron phosphate batteries into a low-dimensional yet accurate control oriented electrochemical model, achieving promising results with reduced computational burden.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Article
Automation & Control Systems
Zahra Nozarijouybari, Anirudh Allam, Simona Onori, Hosam K. K. Fathy
Summary: This letter analyzes the observability of a nonlinear single particle model (SPM) of a lithium-ion battery. SPMs offer a middle ground between the simplicity of equivalent circuit models (ECMs) and the fidelity of higher-order electrochemical models. The letter presents conditions under which one can estimate the spatial distribution of concentrations in a nonlinear SPM and demonstrates this insight numerically for a model of a nickel-manganese-cobalt (NMC) battery.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Article
Automation & Control Systems
Vahid Azimi, Anirudh Allam, Simona Onori
Summary: This article presents and solves a multi-objective optimal control problem for a lithium-ion battery module, considering fast charging and minimum degradation. The module consists of series-connected cells with an active balancing circuitry. The cells are affected by manufacturing defects and nonuniform operating conditions. The problem is formulated under two charging schemes: same charging time and different charging time to account for heterogeneous initial conditions. The results show that the different charging time scheme provides more flexibility to handle heterogeneity and offers lower temperature increase, charging current amplitudes, and degradation. When compared to constant current charging, the proposed control schemes show promising savings in retained capacity.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Automation & Control Systems
Domenico Natella, Simona Onori, Francesco Vasca
Summary: This article proposes an on-board strategy for the simultaneous estimation of battery parameters and their robust evaluation during the battery life. The strategy consists of a set of interconnected subsystems designed using recursive least-squares techniques and a Luenberger-like observer. Each subsystem can independently activate and track the variations of model parameters. The solution is shown to be effective in experiments with a cylindrical LG M50 T INR21700 Li-ion cell.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Chemistry, Physical
Gabriele Pozzato, Anirudh Allam, Luca Pulvirenti, Gianina Alina Negoita, William A. Paxton, Simona Onori
Summary: Deploying battery state of health estimation and forecasting algorithms is crucial for ensuring reliable performance of battery electric vehicles. These algorithms are designed and trained using data collected in the laboratory and correlated with real driving characteristics and ambient temperature.
Article
Chemistry, Multidisciplinary
Kevin Moy, Devi Ganapathi, Alexis Geslin, William Chueh, Simona Onori
Summary: This article demonstrates the need for application-specific testing protocols to properly characterize and model the lithium-ion battery (LIB) system in connected/autonomous electric vehicles (C/AEVs). Synthetic duty cycles generated from C/AEV driving data are used to represent a wide range of driving modes and LIB system sizes. Data collected from 31 LIB cells undergoing synthetic cycling experiments is shared, providing an application-specific C/AEV LIB dataset for the design and calibration of data-driven battery models for real-time control and operation.
CELL REPORTS PHYSICAL SCIENCE
(2023)
Article
Computer Science, Information Systems
Anirudh Allam, Simona Onori
Summary: This study investigates the role of observers based on electrochemical models in battery state estimation and emphasizes the importance of performing observability analysis on nonlinear dynamics. The practical aspects of observability of the electrochemical model are also explored, considering different input conditions, electrode chemistry, and discretization grid points.
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
