Article
Energy & Fuels
Cetengfei Zhang, Quan Zhou, Min Hua, Hongming Xu, Mike Bassett, Fanggang Zhang
Summary: Due to global decarbonization efforts, the demand for maximizing battery lifespan in electrified vehicles, including plug-in hybrid vehicles (PHEV), has increased. This paper proposes a Cuboid Equivalent Consumption Minimization Strategy (C-ECMS) for PHEVs to balance diverse control objectives such as fuel economy, state-of-charge (SoC) control, and battery life. The C-ECMS introduces a new concept of the Hamiltonian matrix and aging factor to enable optimal dual motor control. Experimental results show that the C-ECMS outperforms the standard ECMS in terms of SoC accuracy, fuel consumption, and battery capacity loss.
Article
Automation & Control Systems
Xiang Tian, Yingfeng Cai, Xiaodong Sun, Zhen Zhu, Yiqiang Xu
Summary: This study proposes a model predictive control method with an estimation of distribution algorithm to optimize the energy flow of plug-in hybrid electric buses (PHEBs). The short-term velocity prediction is achieved using a Markov chain model with online updates, and the energy-flow control problem is formulated as a discrete-time nonlinear optimization problem. The EDA algorithm is incorporated into the MPC-based control framework to efficiently obtain an optimal solution.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Engineering, Mechanical
Tao Deng, Ke Zhao, Haoyuan Yu
Summary: The paper proposes an Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) to reduce emissions of PHEV by considering catalyst temperature, while only slightly increasing fuel consumption.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2022)
Article
Engineering, Chemical
Dapai Shi, Shipeng Li, Kangjie Liu, Yun Wang, Ruijun Liu, Junjie Guo
Summary: Under the dual-carbon goal, research on energy conservation and emission reduction of new energy vehicles has once again become a hot topic. This study proposes an adaptive energy management strategy for plug-in hybrid electric vehicles (PHEVs) to improve fuel economy based on intelligent prediction of driving cycles. Simulation results show that the proposed strategy achieves a 9.85% higher fuel saving rate compared to the rule-based strategy and a 5.30% higher rate compared to the ECMS strategy without prediction, further enhancing the fuel saving potential of PHEVs.
Article
Thermodynamics
Likang Fan, Yufei Wang, Hongqian Wei, Youtong Zhang, Pengyu Zheng, Tianyi Huang, Wei Li
Summary: The paper presents a real-time EMS for PHEVs based on adaptive regulation of multiple parameters, achieving optimized charge depletion stage and improving adaptability and efficiency. The use of ECMS replaces traditional rules, allowing for real-time optimal solutions and addressing torque distribution challenges.
Article
Computer Science, Information Systems
Jooin Lee, Hyeongcheol Lee
Summary: This paper presents a nonlinear model predictive control based adaptive equivalent consumption minimization strategy for fuel cell hybrid electric bus. The strategy considers the average travel speed profile and determines the optimal control input by considering the battery current-rate and the fuel cell balance-of-plant. The proposed energy management system is compared with dynamic programming using actual bus route based real-driving scenarios, and the results show similar control inputs with reasonable computation time.
Article
Chemistry, Multidisciplinary
Gulnora Yakhshilikova, Sanjarbek Ruzimov, Ethelbert Ezemobi, Andrea Tonoli, Nicola Amati
Summary: This paper investigates the impact of engine transient characteristics on fuel consumption in hybrid electric vehicles and proposes a penalty factor introduced in the controller to optimize engine usage. Through simulation experiments, it is proven that reducing transient engine operation can lead to a decrease in fuel consumption.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Diju Gao, Haoyang Jiang, Weifeng Shi, Tianzhen Wang, Yide Wang
Summary: An adaptive equivalent consumption minimization strategy (A-ECMS) is proposed in this paper, which extracts the global optimal EF trajectory from dynamic programming (DP) solution and uses back propagation (BP) neural network to adjust EF in real time, achieving the purpose of delaying battery aging in HES.
ENERGY SCIENCE & ENGINEERING
(2022)
Article
Automation & Control Systems
Xiaodong Sun, Yunfei Cao, Zhijia Jin, Xiang Tian, Mingzhou Xue
Summary: In this article, an adaptive energy management strategy based on real-time traffic information is proposed to improve the efficiency of a parallel hybrid electric bus. The system consists of offline and online components, and utilizes velocity characteristic parameters and Markov transition matrices to predict vehicle speed on different road types. The online component incorporates predicted speed and road information into an equivalent consumption minimization strategy for adaptive changes. Simulation studies show the superiority of the proposed strategy in improving fuel economy, and hardware-in-the-loop tests confirm its compatibility with the original design intent.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
S. Rafique, M. S. H. Nizami, U. B. Irshad, M. J. Hossain, S. C. Mukhopadhyay
Summary: This paper proposes a novel energy management system for bus depot operators to trade energy in the market and reduce operational costs. Simulation studies validate the effectiveness of the proposed system, showing it can significantly reduce energy costs compared to other scheduling strategies.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Civil
Zhen Shen, Can Luo, Xisong Dong, Wanze Lu, Yisheng Lv, Gang Xiong, Fei-Yue Wang
Summary: In this paper, a two-level control strategy combining Adaptive-Equivalent Consumption Minimization Strategy (A-ECMS) and Adaptive Dynamic Programming (ADP) is proposed for controlling Hybrid Electric Vehicles (HEVs). This strategy saves energy and increases the stability of the State of Charge (SOC).
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Chemistry, Physical
Xinyou Lin, Zhaorui Wang, Songrong Zeng, Wei Huang, Xuefan Li
Summary: This study proposes a real-time optimization strategy for energy management of plug-in fuel cell electric vehicles using SQP and MNLR to improve hydrogen economic performance. By formulating a real-time hydrogen consumption optimization problem and optimizing fuel cell and battery efficiency with SQP method, the proposed strategy is validated through hardware experiments.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Physical
Qi Jiang, O. Bethoux, F. Ossart, E. Berthelot, C. Marchand
Summary: This study compares two real-time energy management strategies for fuel cell electric vehicles, A-ECMS and SDP, and finds that a specific SDP approach based on Markov chain modeling performs best in real-world driving conditions, showing greater robustness when facing unknown real world power demand profiles.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Analytical
Shibo Li, Liang Chu, Jincheng Hu, Shilin Pu, Jihao Li, Zhuoran Hou, Wen Sun
Summary: This article proposes an adaptive equivalent consumption minimization strategy (A-ECMS) based on the dragonfly algorithm (DA) for coordinated control of powertrain components in 4-wheel-drive plug-in fuel cell electric vehicles (PFCEVs). The strategy optimizes power distribution to the front and rear motors using an equivalent consumption minimization strategy (ECMS). The A-ECMS, combined with the hierarchical energy management framework, provides energy-saving advantages and adaptability to operating conditions by considering the characteristics of the fuel cell system and battery.
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
Thermodynamics
Liang Li, Yuanbo Zhang, Chao Yang, Bingjie Yan, C. Marina Martinez
ENERGY CONVERSION AND MANAGEMENT
(2016)
Article
Engineering, Mechanical
Dihua Guan, Yongchang Du, Xiaofeng Wang
INTERNATIONAL JOURNAL OF VEHICLE DESIGN
(2016)
Article
Automation & Control Systems
Liang Li, Bingjie Yan, Jian Song, Yuanbo Zhang, Guirong Jiang, Lei Li
Article
Engineering, Multidisciplinary
YongChang Du, CunAn Qin, SiXiong You, HuaiCheng Xia
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2017)
Article
Engineering, Mechanical
Zhenfeng Wang, Mingming Dong, Yechen Qin, Yongchang Du, Feng Zhao, Liang Gu
VEHICLE SYSTEM DYNAMICS
(2017)
Article
Engineering, Mechanical
Yongchang Du, Yujian Wang
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2017)
Article
Thermodynamics
Jian Wu, Xiangyu Wang, Liang Li, Cun'an Qin, Yongchang Du
Article
Engineering, Mechanical
Pu Gao, Yongchang Du, Paul D. Walker
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS
(2019)
Article
Engineering, Mechanical
Pu Gao, Jiageng Ruan, Yongchang Du, Paul D. Walker, Nong Zhang
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2019)
Article
Transportation Science & Technology
Pu Gao, Yongchang Du, Yujian Wang, Yingping Lv
SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-MECHANICAL SYSTEMS
(2016)
Article
Transportation Science & Technology
Yongchang Du, Yingping Lv, Yujian Wang, Pu Gao
SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-MECHANICAL SYSTEMS
(2016)
Article
Transportation Science & Technology
Yongchang Du, Yingping Lv, Yujian Wang, Pu Gao
SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-MECHANICAL SYSTEMS
(2016)
Article
Acoustics
Yongbao Yang, Yongchang Du, Ruting Tone, Yintao Wei
NOISE CONTROL ENGINEERING JOURNAL
(2018)
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.
