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Research on Intelligent Operation and Maintenance and Key Technology of New Energy Vehicles

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: 18 February 2025 | Viewed by 2282

Special Issue Editors

Dr. Zhenzhen Jin

E-Mail Website
Guest Editor
School of Mechanical Engineering, Guangxi University, Nanning, China
Interests: new energy vehicle; intelligent operation and maintenance; fault diagnosis
Prof. Dr. Deqiang He

E-Mail Website
Guest Editor
School of Mechanical Engineering, Guangxi University, Nanning, China
Interests: new energy vehicle; intelligent operation and maintenance; fault diagnosis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Dechen Yao

E-Mail Website
Guest Editor
School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
Interests: rotating machinery monitoring and diagnosis

Special Issue Information

Dear Colleagues

With increasing global attention being paid to environmental sustainability, the new energy vehicle industry plays a crucial role in solving the problems of traditional vehicle emissions and resource depletion. New energy vehicles use unconventional vehicle fuels as power sources, which mainly include hybrid vehicles, pure electric vehicles, fuel cell vehicles, and other new energy sources (such as supercapacitors, flywheels, and other efficient energy storage devices) vehicles. For new energy vehicles, research is of great significance to the national economy and people's travel safety. It is urgent to carry out intelligent operation and maintenance work and key technology research for new energy vehicles. The intelligent operation and maintenance of new energy vehicles aims to use data mining, machine learning, big data, and other methods to analyse and process vehicle real-time status data and vehicle record data so as to improve the operation efficiency, reliability, and environmental friendliness of new energy vehicles. This Special Issue aims to introduce and disseminate the latest research related to the intelligent operation and maintenance of new energy vehicles. The topics of interest include, but are not limited to:

  • Electric vehicles;
  • Low-carbon rail transit vehicles;
  • Electrical engineering;
  • Energy-saving optimization control;
  • Monitoring and control systems;
  • Batteries, fuel cells, reliability analysis;
  • Electrical engineering;
  • Diagnostics and prognostics of new energy vehicles;
  • Power electronics.

Dr. Zhenzhen Jin
Prof. Dr. Deqiang He
Prof. Dr. Dechen Yao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent operation and maintenance
  • fault diagnosis
  • new energy vehicle
  • intelligent transportation system
  • prediction, detection, and optimization
  • emerging technologies
  • internet of vehicles
  • health status monitoring
  • intelligent perception

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Published Papers (3 papers)

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Research

15 pages, 3554 KiB  
Article
Development of Hydrogen Fuel Cell–Battery Hybrid Multicopter System Thermal Management and Power Management System Based on AMESim
by JiHyun Choi, Hyun-Jong Park and Jaeyoung Han
Energies 2025, 18(2), 447; https://doi.org/10.3390/en18020447 - 20 Jan 2025
Viewed by 527
Abstract
Urban Air Mobility (UAM) is gaining attention as a solution to urban population growth and air pollution. Hydrogen fuel cells are applied to overcome the limitations of battery-based UAM, utilizing a PEMFC (Polymer Electrolyte Membrane Fuel Cell) with batteries in a hybrid system [...] Read more.
Urban Air Mobility (UAM) is gaining attention as a solution to urban population growth and air pollution. Hydrogen fuel cells are applied to overcome the limitations of battery-based UAM, utilizing a PEMFC (Polymer Electrolyte Membrane Fuel Cell) with batteries in a hybrid system to enhance responsiveness. Power management improves efficiency through effective power distribution under varying loads, while thermal management maintains optimal stack temperatures to prevent degradation. This study developed a hydrogen fuel cell–battery hybrid multicopter system using AMESim, consisting of a 138 kW fuel cell stack, 60 kW battery, DC–DC converters, and thrust motors. A rule-based power management system was implemented to define power distribution strategies based on SOC and load demand. The system’s operating range was designed to allocate power according to battery SOC and load variations. For an initial SOC of 45%, the power management system distributed power for flight, and the results showed that the state machine control system reduced hydrogen consumption by 5.85% and parasitic energy by 1.63% compared to the rule-based system. Full article
(This article belongs to the Special Issue Research on Intelligent Operation and Maintenance and Key Technology of New Energy Vehicles)
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22 pages, 4954 KiB  
Article
Development of a Hydrogen Fuel Cell Hybrid Urban Air Mobility System Model Using a Hydrogen Metal Hydride Tank
by Sanghyun Yun, Seok Yeon Im and Jaeyoung Han
Energies 2025, 18(1), 39; https://doi.org/10.3390/en18010039 - 26 Dec 2024
Viewed by 689
Abstract
Hydrogen fuel cell-based UAM (urban air mobility) systems are gaining significant attention due to their advantages of higher energy density and longer flight durations compared to conventional battery-based UAM systems. To further improve the flight times of current UAM systems, various hydrogen storage [...] Read more.
Hydrogen fuel cell-based UAM (urban air mobility) systems are gaining significant attention due to their advantages of higher energy density and longer flight durations compared to conventional battery-based UAM systems. To further improve the flight times of current UAM systems, various hydrogen storage methods, such as liquid hydrogen and hydrogen metal hydrides, are being utilized. Among these, hydrogen metal hydrides offer the advantage of high safety, as they do not require the additional technologies needed for high-pressure gaseous hydrogen storage or the maintenance of cryogenic temperatures for liquid hydrogen. Furthermore, because of the relatively slower dynamic response of hydrogen fuel cell systems compared to batteries, they are often integrated into hybrid configurations with batteries, necessitating an efficient power management system. In this study, a UAM system was developed by integrating a hydrogen fuel cell system with hydrogen metal hydrides and batteries in a hybrid configuration. Additionally, a state machine control approach was applied to a distribution valve for the endothermic reaction required for hydrogen desorption from the hydrogen metal hydrides. This design utilized waste heat generated by the fuel cell stack to facilitate hydrogen release. Furthermore, a fuzzy logic control-based power management system was implemented to ensure efficient power distribution during flight. The results show that approximately 43% of the waste heat generated by the stack was recovered through the tank system. Full article
(This article belongs to the Special Issue Research on Intelligent Operation and Maintenance and Key Technology of New Energy Vehicles)
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22 pages, 8807 KiB  
Article
Performance and Efficiency Evaluation of a Secondary Loop Integrated Thermal Management System with a Multi-Port Valve for Electric Vehicles
by Jaehyun Bae, Jinwon Yun and Jaeyoung Han
Energies 2024, 17(22), 5729; https://doi.org/10.3390/en17225729 - 15 Nov 2024
Viewed by 713
Abstract
Recently, battery electric vehicles (BEVs) have faced various technical challenges, such as reduced driving range due to ambient temperature, slow charging speeds, fire risks, and environmental regulations. This numerical study proposes an integrated thermal management system (ITMS) utilizing R290 refrigerant and a 14-way [...] Read more.
Recently, battery electric vehicles (BEVs) have faced various technical challenges, such as reduced driving range due to ambient temperature, slow charging speeds, fire risks, and environmental regulations. This numerical study proposes an integrated thermal management system (ITMS) utilizing R290 refrigerant and a 14-way valve to address these issues, proactively meeting future environmental regulations, simplifying the system, and improving efficiency. The performance evaluation was conducted under high-load operating conditions, including driving and fast charging in various environmental conditions of 35 °C and −10 °C. As a result, the driving efficiency was 4.82 km/kWh in high-temperature conditions (35 °C) and 4.69 km/kWh in low-temperature conditions (−10 °C), which demonstrated higher efficiency than the Octovalve-ITMS applied to the Tesla Model Y. Furthermore, in fast charging tests, the high voltage battery was charged from a 10% to a 90% state of charge in 26 min at 35 °C and in 31 min at −10 °C, outperforming the Octovalve-ITMS-equipped Tesla Model Y’s fast charging time of 27 min under moderate ambient conditions. This result highlights the superior fast-charging performance of the 14-way valve-based ITMS, even under high cooling load conditions. Full article
(This article belongs to the Special Issue Research on Intelligent Operation and Maintenance and Key Technology of New Energy Vehicles)
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