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
Thermodynamics
Desiree Alcazar-Garcia, Jose Luis Romeral Martinez
Summary: This paper presents an adaptive and high-accuracy methodology that utilizes genetic algorithms to accelerate the design and implementation of ecological vehicles in smart cities. The methodology maximizes vehicle range with minimal computational effort and provides predictive information on cost, volume, and weight. The reliability and precision of the model have been verified using commercially available vehicles.
Article
Energy & Fuels
Hannes Heidfeld, Martin Schunemann
Summary: This article presents the design, tuning, implementation, and testing of a state estimator for direct-drive electric vehicles with individual tire model adaptation. Utilizing the Unscented Kalman Filter and optimization-based tuning, high precision nonlinear state and parameter estimation is achieved.
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
Yasser Ghoulam, Tedjani Mesbahi, Peter Wilson, Sylvain Durand, Andrew Lewis, Christophe Lallement, Christopher Vagg
Summary: This paper proposes a method for accurately and efficiently identifying parameters of lithium-ion battery packs using only drive cycle data, and validates its effectiveness through experiments. This is significant for improving the accuracy and performance prediction of battery management systems in electric vehicles.
Article
Thermodynamics
Feng Wang, Jiaqi Xia, Yingfeng Cai, Jingang Guo
Summary: A novel energy management strategy (EMS-MTC) is proposed in this research to address the issue of frequent mode transitions in plug-in hybrid electric vehicles. By incorporating two penalty functions into the EMS algorithm, a tradeoff between fuel economy and mode transition frequency is achieved. Experimental tests demonstrate the potential practical application of this strategy.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Automation & Control Systems
Xiaohui Hou, Junzhi Zhang, Yuan Ji, Weilong Liu, Chengkun He
Summary: This paper presents a novel autonomous drift controller for a distributed drive electric vehicle, which uses control channel recombination and fuzzy-integral sliding-mode control to achieve stable drifting. The controller's performance with fast response and strong robustness was validated through bench testing.
Article
Energy & Fuels
Shuaishuai Ge, Shuang Hou, Mingyao Yao
Summary: The reliability of the dual-motor electric drive system (DEDS) is crucial for the electric mode of dual-motor hybrid electric vehicles (HEVs). In this study, an electromechanical coupling dynamics model was established to understand the coupling mechanism of the DEDS, considering time-varying mesh stiffness of gears and nonlinear characteristics of inverters. The analysis of the DEDS under steady-state and impact load conditions revealed the modulated frequency of the motor stator current due to gear meshing frequency and the aggravation of torsional vibration in the gear system in the dual-motor drive mode. The speed synchronization error was found to be a factor in suppressing the impact energy caused by external load on the gear system.
Article
Energy & Fuels
Hao Zhang, Qinhao Fan, Shang Liu, Shengbo Eben Li, Jin Huang, Zhi Wang
Summary: This study aims to investigate the optimal control strategy for dedicated hybrid engine-driven plug-in hybrid electric vehicles under real driving conditions. The hierarchical energy management strategy proposed in the study shows superior performance in terms of fuel economy and NOx emissions.
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
Engineering, Civil
Lipeng Zhang, Xin Liu, Shuaishuai Liu, Minghan Chen
Summary: This study investigates the online self-seeking traction control based on the dual-mode coupling drive system (DMCS) for electric vehicles. It proposes a new traction control strategy and verifies its feasibility and superiority in improving vehicle dynamics performance through simulation and testing.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Hongwen He, Yiwen Shou, Hao Wang
Summary: This paper conducts an optimization study on the engine control parameters of plug-in hybrid electric vehicles (PHEV) and applies it to a PHEV with a rule-based energy management strategy (EMS). The results show that the optimized engine can effectively improve fuel economy and achieve significant fuel saving effects under different driving cycles.
CONTROL ENGINEERING PRACTICE
(2022)
Article
Energy & Fuels
Min Hua, Cetengfei Zhang, Fanggang Zhang, Zhi Li, Xiaoli Yu, Hongming Xu, Quan Zhou
Summary: The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is contributing to decarbonization, and its energy management requires multiple-input and multiple-output (MIMO) control. This paper proposes a multi-agent deep reinforcement learning (MADRL) method for energy management of multi-mode PHEVs. By introducing a relevance ratio and a hand-shaking strategy, two learning agents work collaboratively using the deep deterministic policy gradient (DDPG) algorithm. The proposed MADRL system saves up to 4% energy compared to the single-agent learning system and up to 23.54% energy compared to the conventional rule-based system.
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
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
Engineering, Mechanical
Wu Jian, Zhao Youqun, Ji Xuewu, Liu Yahui, Zhang Lipeng
CHINESE JOURNAL OF MECHANICAL ENGINEERING
(2015)
Article
Engineering, Mechanical
Lipeng Zhang, Wei Yu, Xun Zhao, Aihong Meng, Fahad Muhammad
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2016)
Article
Engineering, Mechanical
Lipeng Zhang, Xiaohong Zhang, Zongqi Han, Junyun Chen, Jingchao Liu
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2017)
Article
Engineering, Multidisciplinary
Zhang LiPeng, Qi BingNan, Zhang RunSheng, Liu JingChao, Wang LiQiang
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2016)
Article
Engineering, Multidisciplinary
Zhang LiPeng, Li Liang, Qi BingNan
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2018)
Article
Engineering, Mechanical
Lipeng Zhang, Silong Zhang, Wei Zhang
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2019)
Article
Engineering, Mechanical
Lipeng Zhang, Zhaowen Pang, Sheng Wang, Silong Zhang, Xinmao Yuan
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2020)
Article
Engineering, Mechanical
Lipeng Zhang, Liuquan Yang, Xiaobin Guo, Xinmao Yuan
MECHANISM AND MACHINE THEORY
(2020)
Article
Engineering, Mechanical
Lipeng Zhang, Chenhui Ren, Xinmao Yuan, Wei Zhang
Summary: The use of regenerative suspension control can improve the vehicle dynamics control functions of unmanned ground vehicles, reduce discomfort when driving on rough roads, and extend the driving range of the vehicle.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2021)
Article
Engineering, Mechanical
Lipeng Zhang, Wei Liu, Bingnan Qi
CHINESE JOURNAL OF MECHANICAL ENGINEERING
(2020)
Article
Thermodynamics
LiPeng Zhang, Wei Liu, BingNan Qi
Article
Engineering, Electrical & Electronic
Bingnan Qi, Liuquan Yang, Lipeng Zhang, Runsheng Zhang
Summary: The dual-mode coupling drive system for electric vehicles can switch automatically between centralized and distributed drive modes and realize two-speed gear shifting. Failure of the angle-displacement sensor in this system may greatly affect mode-switching quality, but an adaptive fault-tolerant control method has been proposed to address this issue effectively.
AUTOMOTIVE INNOVATION
(2021)
Article
Engineering, Mechanical
Zhang Lipeng, Guo Xiaobin, Yang Liuquan, Peng Yunao, Qi Bingnan
INTERNATIONAL JOURNAL OF VEHICLE DESIGN
(2020)
Proceedings Paper
Engineering, Multidisciplinary
Zhang Run Sheng, Li Liang, Zhang Si Long, Zhang Wei, Zhang Li Peng
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, MACHINERY AND ENERGY ENGINEERING (MSMEE 2017)
(2017)
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.