Article
Computer Science, Artificial Intelligence
C. N. Gnanaprakasam, S. Meena, M. Nivethitha Devi, N. Shanmugasundaram, S. Sridharan
Summary: This paper proposes an efficient hybrid approach for optimal energy management of plug-in hybrid electric vehicles (PHEVs) under traffic conditions. The proposed approach, named AOS-RERNN, combines Atomic Orbital Search (AOS) and Recalling Enhanced Recurrent Neural Network (RERNN) to control energy through Internet of Vehicles (IoVs) and achieve significant fuel economy for PHEVs. By optimizing the driving cycle-based parameter of energy management using the AOS approach online based on specific traffic conditions, a set of optimal parameters is obtained. The performance of this approach is compared with existing methods on the MATLAB/Simulink platform, demonstrating improved fuel economy.
APPLIED SOFT COMPUTING
(2023)
Article
Green & Sustainable Science & Technology
Alessandro Tansini, Jelica Pavlovic, Georgios Fontaras
Summary: Plug-in hybrid electric vehicles (PHEVs) are considered favorable transitional technology for road transport electrification. However, recent studies challenge their effectiveness in reducing CO2 emissions in real-world conditions. This study tested four Euro 6 PHEVs and found that their in-use CO2 emissions can range from 0 to 6 times the official type-approval CO2 value. A three-dimensional CO2 emissions model is proposed based on charge level and average trip speed or wheel energy. The study concludes that, although real-world emissions of PHEVs may increase compared to official values, they still generally remain lower than conventional powertrains.
JOURNAL OF CLEANER PRODUCTION
(2022)
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
Thermodynamics
Mehdi Mahmoodi-k, Morteza Montazeri, Vahid Madanipour
Summary: Research has shown that using a multi-objective optimization approach can effectively improve the energy efficiency, reduce emissions, and lower operational costs of plug-in hybrid electric vehicles.
Article
Physics, Multidisciplinary
Linjie Zhou, Tiancheng Ruan, Ke Ma, Changyin Dong, Hao Wang
Summary: This paper explores the impact of CAV platoon management and control mode degradation on traffic flow, fuel consumption, and pollutant emissions. CAV platoons can significantly increase traffic capacity and reduce fuel consumption and emissions. Optimal platoon size for CAV management is suggested to be 5 vehicles.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Environmental Sciences
Patrick Ploetz, Cornelius Moll, Georg Bieker, Peter Mock
Summary: The study shows that the real-world average CO2 emissions of PHEVs vary depending on factors such as all-electric range, user group, and country. For private vehicles, the real-world CO2 emissions are significantly higher than test cycle values, mainly due to low charging frequency.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Thermodynamics
Sharaf AlKheder
Summary: This study focuses on addressing traffic congestion issues in Kuwait roads by implementing ridesharing to optimize traffic flow, reduce vehicle emissions, and minimize travel costs. Results show that ridesharing can decrease trip distance and lower gas emissions.
Article
Engineering, Civil
Rocio Cotta Antunez, Michael W. Levin
Summary: Transportation is a major contributor to greenhouse gas emissions. Eco-routing, which aims to minimize fuel consumption or emissions by modifying route choices, is a popular approach to reducing these emissions. However, the Braess paradox suggests that when vehicles prioritize individual fuel consumption or emissions, the overall effect may be counterproductive due to changes in congestion patterns. By constructing a multiclass user equilibrium model and analyzing real city network data, we demonstrate the existence of the Braess paradox in eco-routing, leading to an increase in fuel consumption and emissions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Environmental Studies
A. Chatzipanagi, J. Pavlovic, M. A. Ktistakis, D. Komnos, G. Fontaras
Summary: This study analyzed vehicle data from the European Union (EU) in 2019 and 2020 to examine the impact of the introduction of the WLTP on CO2 emissions. The results showed that the average increase in CO2 emissions for all vehicles sold in 2020 was 21% for passenger cars and 27% for vans. Diesel vehicles were more affected than gasoline vehicles, and the impact on hybrid vehicles varied between different years.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Environmental Sciences
Karim Hamza, Kenneth P. Laberteaux, Kang-Ching Chu
Summary: Plug-in hybrid electric vehicles (PHEVs) have the potential to reduce greenhouse gas emissions, but their real-world fuel consumption may deviate from standard ratings. The fraction of miles traveled in electric mode is a key factor for reducing emissions.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Hassan Shojaeefard, Morteza Mollajafari, Nima Edalat Pishe, Seyyed Mohsen Mousavi
Summary: This study evaluates the cooling system of a fuel cell vehicle under various operating conditions and investigates the impact of changing the control system on vehicle performance and cooling efficiency. The optimization results show that increasing the battery capacity extends the range of the vehicle and reduces energy consumption.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Green & Sustainable Science & Technology
Matteo Bohm, Mirco Nanni, Luca Pappalardo
Summary: This study used GPS traces and a microscopic model to analyze the emissions from thousands of private vehicles in three European cities, identifying gross polluters and grossly polluted roads. The research showed that emissions reduction policies targeting gross polluters are more effective than general vehicle restrictions.
NATURE SUSTAINABILITY
(2022)
Article
Automation & Control Systems
Jiangtao Fu, Zhumu Fu, Shuzhong Song
Summary: This paper introduces the issue of multiple driving modes co-existing in hybrid electrical vehicles, and proposes a model predictive control strategy to reduce fuel consumption caused by frequent driving mode switching. The strategy integrates driving intention identification and cost of mode switching, aiming to minimize mode switching times and improve fuel economy, which is validated through experiments.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2021)
Article
Transportation
Yanyan Qin, Hao Wang, Bin Ran
Summary: The study demonstrates that stability can qualitatively impact reductions in emissions and fuel consumption, providing a potential method for reducing emissions and fuel consumption in traffic.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Thermodynamics
Xiaodong Wei, Jiaqi Wang, Chao Sun, Bo Liu, Weiwei Huo, Fengchun Sun
Summary: A guided PI-PMP energy management control strategy based on dynamic traffic information is proposed in this paper. It utilizes an improved ECMS based on dichotomy to quickly search for the optimal initial costate value and reference battery SOC trajectory. The strategy also includes a horizon velocity predictor based on ANNs for short-term velocity prediction and a PI-PMP control strategy for SOC trajectory following. Simulation results demonstrate significant energy-saving effects and real-time optimization potential.
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)