Article cité par
La fonctionnalité Article cité par… liste les citations d'un article. Ces citations proviennent de la base de données des articles de EDP Sciences, ainsi que des bases de données d'autres éditeurs participant au programme CrossRef Cited-by Linking Program . Vous pouvez définir une alerte courriel pour être prévenu de la parution d'un nouvel article citant " cet article (voir sur la page du résumé de l'article le menu à droite).
Article cité :
Giorgio Rizzoni , Simona Onori
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles, 70 1 (2015) 41-54
Publié en ligne : 2014-07-21
Citations de cet article :
44 articles
METHOD FOR SYNTHESIZING OPTIMAL PARAMETERS OF A HYBRID ENERGY SYSTEM WITH AN ELECTROCHEMICAL GENERATOR AND A RECHARGEABLE ENERGY STORAGE SYSTEM
Viktor R. Anisimov and Alexander V. Klimov Tractors and Agricultural Machinery (2025) https://doi.org/10.17816/0321-4443-691257
Diana Mariana Cocârță, Andra Maria Lăcureanu, Aurel Ștefan Pica and Constantin Streche 253 113 (2024) https://doi.org/10.1007/978-3-031-55952-5_7
Advanced ECMS for Hybrid Electric Heavy-Duty Trucks with Predictive Battery Discharge and Adaptive Operating Strategy under Real Driving Conditions
Sven Schulze, Günter Feyerl and Stefan Pischinger Energies 16 (13) 5171 (2023) https://doi.org/10.3390/en16135171
Neural network energy management strategy with optimal input features for plug-in hybrid electric vehicles
Ziwang Lu, He Tian, Yiwen sun, Runfeng Li and Guangyu Tian Energy 285 129399 (2023) https://doi.org/10.1016/j.energy.2023.129399
A Batteryless Series Hybrid Electric Vehicle Control
Sébastien Rouquet, Malek Ghanes, Jean-Pierre Barbot, Yuri B. Shtessel and Ludovic Merienne IEEE Transactions on Control Systems Technology 31 (3) 1032 (2023) https://doi.org/10.1109/TCST.2022.3215256
A Novel Approach for a Predictive Online ECMS Applied in Electrified Vehicles Using Real Driving Data
Felix Deufel, Malte Freund and Frank Gauterin World Electric Vehicle Journal 14 (12) 353 (2023) https://doi.org/10.3390/wevj14120353
Optimal Control of Electrified Powertrains in Offline and Online Application Concerning Dimensioning of Li-Ion Batteries
Felix Deufel, Martin Gießler and Frank Gauterin Vehicles 4 (2) 464 (2022) https://doi.org/10.3390/vehicles4020028
Velocity Prediction Based on Map Data for Optimal Control of Electrified Vehicles Using Recurrent Neural Networks (LSTM)
Felix Deufel, Purav Jhaveri, Marius Harter, Martin Gießler and Frank Gauterin Vehicles 4 (3) 808 (2022) https://doi.org/10.3390/vehicles4030045
Global optimization energy management for multi-energy source vehicles based on “Information layer - Physical layer - Energy layer - Dynamic programming” (IPE-DP)
Nan Xu, Yan Kong, Jinyue Yan, Yuanjian Zhang, Yan Sui, Hao Ju, Heng Liu and Zhe Xu Applied Energy 312 118668 (2022) https://doi.org/10.1016/j.apenergy.2022.118668
Hardik Nagar, Arjun RAVEENDRANATH Sr, Himadri Das, Pradeev Elango and Arulkumaran Mativanan 1 (2022) https://doi.org/10.4271/2022-28-0048
On the use of frequency analysis tools to minimize the calculation complexity of Optimal Control Problems
W. Cottin, G. Colin, A. Charlet and S. Houillé IFAC-PapersOnLine 55 (16) 424 (2022) https://doi.org/10.1016/j.ifacol.2022.09.061
Encoder–Decoder-Based Velocity Prediction Modelling for Passenger Vehicles Coupled with Driving Pattern Recognition
Diming Lou, Yinghua Zhao, Liang Fang, Yuanzhi Tang and Caihua Zhuang Sustainability 14 (17) 10629 (2022) https://doi.org/10.3390/su141710629
Gaussian Process Approximate Dynamic Programming for Energy-Optimal Supervisory Control of Parallel Hybrid Electric Vehicles
Jin Woo Bae and Kwang-Ki K. Kim IEEE Transactions on Vehicular Technology 71 (8) 8367 (2022) https://doi.org/10.1109/TVT.2022.3178146
A Generic Prediction Approach for Optimal Control of Electrified Vehicles Using Artificial Intelligence
Felix Deufel, Martin Gießler and Frank Gauterin Vehicles 4 (1) 182 (2022) https://doi.org/10.3390/vehicles4010012
Multiphase mixed-integer nonlinear optimal control of hybrid electric vehicles
Nicolò Robuschi, Clemens Zeile, Sebastian Sager and Francesco Braghin Automatica 123 109325 (2021) https://doi.org/10.1016/j.automatica.2020.109325
Energy management for series-production plug-in-hybrid electric vehicles based on predictive DP-PMP
Roland Schmid, Johannes Buerger and Naim Bajcinca at - Automatisierungstechnik 69 (1) 52 (2021) https://doi.org/10.1515/auto-2020-0025
Energy Management Strategy for Plug-in-Hybrid Electric Vehicles Based on Predictive PMP
Roland Schmid, Johannes Buerger and Naim Bajcinca IEEE Transactions on Control Systems Technology 29 (6) 2548 (2021) https://doi.org/10.1109/TCST.2020.3048129
Off-line and on-line optimization of the energy management strategy in a Hybrid Electric Helicopter for urban air-mobility
Teresa Donateo, Claudia Lucia De Pascalis, Luciano Strafella and Antonio Ficarella Aerospace Science and Technology 113 106677 (2021) https://doi.org/10.1016/j.ast.2021.106677
Optimization-Driven Powertrain-Oriented Adaptive Cruise Control to Improve Energy Saving and Passenger Comfort
Pier Giuseppe Anselma Energies 14 (10) 2897 (2021) https://doi.org/10.3390/en14102897
Alessandro Capancioni, Lorenzo Brunelli, Nicolò Cavina and Alessandro Perazzo 1 (2021) https://doi.org/10.4271/2021-24-0105
Reducing the Computation Effort of a Hybrid Vehicle Predictive Energy Management Strategy
Sebastien Delprat and Mohamed Riad Boukhari IEEE Transactions on Vehicular Technology 70 (7) 6500 (2021) https://doi.org/10.1109/TVT.2021.3082624
Dohee Kim, Jeong Soo Eo, Yeojun Kim, Jacopo Guanetti, Ryan Miller and Francesco Borrelli 1 (2020) https://doi.org/10.4271/2020-01-0582
Power Management in Serial Hybrid Electric Vehicle: A singular perturbation approach
S. Rouquet, M. Ghanes, J.P. Barbot and L. Merienne IFAC-PapersOnLine 53 (2) 13775 (2020) https://doi.org/10.1016/j.ifacol.2020.12.885
Adaptive real-time optimal energy management strategy for extender range electric vehicle
Ye Yang, Youtong Zhang, Jingyi Tian and Tao Li Energy 197 117237 (2020) https://doi.org/10.1016/j.energy.2020.117237
Sebastien Rouquet, Malek Ghanes, Jean-Pierre Barbot, Yuri B. Shtessel and Ludovic Merienne 679 (2020) https://doi.org/10.1109/CCTA41146.2020.9206269
Identification and Review of the Research Gaps Preventing a Realization of Optimal Energy Management Strategies in Vehicles
Zachary D. Asher, Amol A. Patil, Van T. Wifvat, Andrew A. Frank, Scott Samuelsen and Thomas H. Bradley SAE International Journal of Alternative Powertrains 08 (2) 133 (2019) https://doi.org/10.4271/08-08-02-0009
Self-Learning Enhanced Energy Management for Plug-in Hybrid Electric Bus With a Target Preview Based SOC Plan Method
Hong-Qiang Guo, Guoliang Wei, Fengbo Wang, Chong Wang and Shangye Du IEEE Access 7 103153 (2019) https://doi.org/10.1109/ACCESS.2019.2931509
Gabriele Caramia, Nicolò Cavina, Davide Moro, Stefano Patassa and Luca Solieri 2201 020035 (2019) https://doi.org/10.1063/1.5138768
A comparison of PMP-based Energy Management Strategies for Plug-in-Hybrid Electric Vehicles
Roland Schmid, Johannes Bürger and Naim Bajcinca IFAC-PapersOnLine 52 (5) 592 (2019) https://doi.org/10.1016/j.ifacol.2019.09.094
Adaptive Energy Management Strategy for Plug-in Hybrid Electric Vehicles with Pontryagin’s Minimum Principle Based on Daily Driving Patterns
Namwook Kim, Jongryeol Jeong and Chunhua Zheng International Journal of Precision Engineering and Manufacturing-Green Technology 6 (3) 539 (2019) https://doi.org/10.1007/s40684-019-00046-z
Gabriele Caramia, Nicolo Cavina, Alessandro Capancioni, Michele Caggiano and Stefano Patassa 1 (2019) https://doi.org/10.4271/2019-24-0249
Data-driven hierarchical control for online energy management of plug-in hybrid electric city bus
He Tian, Shengbo Eben Li, Xu Wang, Yong Huang and Guangyu Tian Energy 142 55 (2018) https://doi.org/10.1016/j.energy.2017.09.061
Jordan A. Tunnell, Zachary D. Asher, Sudeep Pasricha and Thomas H. Bradley 1 (2018) https://doi.org/10.4271/2018-01-0593
An Adaptive-Equivalent Consumption Minimum Strategy for an Extended-Range Electric Bus Based on Target Driving Cycle Generation
Hongwei Liu, Chantong Wang, Xin Zhao and Chong Guo Energies 11 (7) 1805 (2018) https://doi.org/10.3390/en11071805
Marcelino Sanchez, Sebastien Delprat, Walter Lhomme and Florian Tournez 1 (2018) https://doi.org/10.1109/VPPC.2018.8605037
Nicolo Cavina, Gabriele Caramia, Stefano Patassa and Michele Caggiano 1 (2018) https://doi.org/10.4271/2018-01-0998
Marcelino Sanchez and Sebastien Delprat 1 (2018) https://doi.org/10.1109/VPPC.2018.8604992
Toward Improving Vehicle Fuel Economy with ADAS
Jordan Tunnell, Zachary D. Asher, Sudeep Pasricha and Thomas H. Bradley SAE International Journal of Connected and Automated Vehicles 01 (2) 81 (2018) https://doi.org/10.4271/12-01-02-0005
Preliminary design of a hybrid electric powertrain for a earthmoving machine
Teresa Donateo and Asclepio Nicolazzo Energy Procedia 148 495 (2018) https://doi.org/10.1016/j.egypro.2018.08.125
Energy Management Improvement of Hybrid Electric Vehicles via Combined GPS/Rule-Based Methodology
H. S. Ramadan, M. Becherif and F. Claude IEEE Transactions on Automation Science and Engineering 14 (2) 586 (2017) https://doi.org/10.1109/TASE.2017.2650146
Design method of a power management strategy for variable battery capacities range-extended electric vehicles to improve energy efficiency and cost-effectiveness
Jiuyu Du, Jingfu Chen, Ziyou Song, Mingming Gao and Minggao Ouyang Energy 121 32 (2017) https://doi.org/10.1016/j.energy.2016.12.120
State constrained hybrid vehicle optimal energy management: an interior penalty approach
T. Kareemulla, S. Delprat and L. Czelecz IFAC-PapersOnLine 50 (1) 10040 (2017) https://doi.org/10.1016/j.ifacol.2017.08.1774
Energy Efficiency Oriented Design Method of Power Management Strategy for Range-Extended Electric Vehicles
Jiuyu Du, Jingfu Chen, Mingming Gao and Jia Wang Mathematical Problems in Engineering 2016 1 (2016) https://doi.org/10.1155/2016/9203081
Energy flow modeling and real-time control design basing on mean values for maximizing driving mileage of a fuel cell bus
Liangfei Xu, Jianqiu Li and Minggao Ouyang International Journal of Hydrogen Energy 40 (43) 15052 (2015) https://doi.org/10.1016/j.ijhydene.2015.08.104