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Energy Consumption of Electric Vehicles and Hybrid Vehicles
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Energy Consumption of Electric Vehicles and Hybrid Vehicles

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".

Deadline for manuscript submissions: closed (22 October 2023) | Viewed by 4571

Special Issue Editors

Dr. Jianhua Li

E-Mail Website
Guest Editor
College of Automotive Engineering, Jilin University, Changchun 130012, China
Interests: electric vehicles
Special Issues, Collections and Topics in MDPI journals
Dr. Feng Xiao

E-Mail Website
Guest Editor
State Key Laboratory of Automotive Simulation and Control, Jilin university, Changchun 130025, China
Interests: key technologies of new energy vehicles; computer vision; new energy vehicle electric wheel
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Pengyu Wang

E-Mail Website
Guest Editor
College of Automotive Engineering, Jilin University, Changchun 130012, China
Interests: the key technologies of new energy vehicles; the intelligent networked vehicle planning and intelligent control methods; the testing and evaluation techniques of intelligent networked vehicles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

At present, a new round of global scientific and technological and industrial transformation is booming. The integration of automobile and related technologies in energy, transportation, information communication and other fields is accelerating. Electrification, networking and intelligence have become the development trends of the automobile industry. New energy vehicles are the main direction for the transformation and upgrading of the global automotive industry and green development, and are also the strategic choice for the high-quality development of the global automotive industry. The automobile product form, transportation mode, energy consumption structure and social operation mode are undergoing profound changes, providing unprecedented development opportunities for the new energy automobile industry. Authors are welcome to publish original research papers describing theory development, system applications, and algorithm demonstrations, including, but not limited to: 

  • Research on energy saving and emission reduction of hybrid electric vehicles and pure electric vehicles;
  • Research on energy management strategy of hybrid electric vehicle and intelligent connected vehicles;
  • Automobile energy saving technology under the background of carbon neutralization;
  • Energy management technology of new energy vehicles;
  • Braking energy recovery strategy of pure electric vehicles;
  • Battery management technology;
  • Fuel cell technology;
  • Any other related technologies.

Dr. Jianhua Li
Dr. Feng Xiao
Prof. Dr. Pengyu Wang
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. Sensors 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

  • energy management
  • energy conservation and emission reduction
  • carbon neutralization
  • battery
  • fuel cell

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Published Papers (2 papers)

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Research

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16 pages, 785 KiB  
Article
A High-Efficiency Capacitor-Based Battery Equalizer for Electric Vehicles
by Alfredo Alvarez-Diazcomas, Adyr A. Estévez-Bén, Juvenal Rodríguez-Reséndiz, Roberto V. Carrillo-Serrano and José M. Álvarez-Alvarado
Sensors 2023, 23(11), 5009; https://doi.org/10.3390/s23115009 - 23 May 2023
Cited by 4 | Viewed by 1887
Abstract
Technology in electric vehicles has increased substantially in the past decade. Moreover, it is projected to grow at record highs in the coming years since these vehicles are needed to reduce the contamination related to the transportation sector. One of the essential elements [...] Read more.
Technology in electric vehicles has increased substantially in the past decade. Moreover, it is projected to grow at record highs in the coming years since these vehicles are needed to reduce the contamination related to the transportation sector. One of the essential elements of an electric car is its battery, due to its cost. Batteries comprise parallel and series-connected cell arrangements to meet the power system requirements. Therefore, they require a cell equalizer circuit to preserve their safety and correct operation. These circuits keep a specific variable of all cells, such as the voltage, within a particular range. Within cell equalizers, capacitor-based ones are very common as they have many desirable characteristics of the ideal equalizer. In this work, an equalizer based on the switched-capacitor is proposed. A switch is added to this technology that allows the disconnection of the capacitor from the circuit. In this way, an equalization process can be achieved without excess transfers. Therefore, a more efficient and faster process can be completed. In addition, it allows another equalization variable to be used, such as the state of charge. This paper studies the operation, power design, and controller design of the converter. Moreover, the proposed equalizer was compared to other capacitor-based architectures. Finally, simulation results were presented to validate the theoretical analysis. Full article
(This article belongs to the Special Issue Energy Consumption of Electric Vehicles and Hybrid Vehicles)
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Review

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22 pages, 12056 KiB  
Review
Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information
by Wei Wang, Zhuo Hao, Fufan Qu, Wenbo Li, Liguang Wu, Xin Li, Pengyu Wang and Yangyang Ma
Sensors 2023, 23(20), 8571; https://doi.org/10.3390/s23208571 - 19 Oct 2023
Cited by 2 | Viewed by 2176
Abstract
Energy management methods (EMMs) utilizing sensing, communication, and networking technologies appear to be one of the most promising directions for energy saving and environmental protection of fuel cell vehicles (FCVs). In real-world driving situations, EMMs based on driving cycle information are critical for [...] Read more.
Energy management methods (EMMs) utilizing sensing, communication, and networking technologies appear to be one of the most promising directions for energy saving and environmental protection of fuel cell vehicles (FCVs). In real-world driving situations, EMMs based on driving cycle information are critical for FCVs and have been extensively studied. The collection and processing of driving cycle information is a fundamental and critical work that cannot be separated from sensors, global positioning system (GPS), vehicle-to-vehicle (V2V), vehicle-to-everything (V2X), intelligent transportation system (ITS) and some processing algorithms. However, no reviews have comprehensively summarized the EMMs for FCVs from the perspective of driving cycle information. Motivated by the literature gap, this paper provides a state-of-the-art understanding of EMMs for FCVs from the perspective of driving cycle information, including a detailed description for driving cycle information analysis, and a comprehensive summary of the latest EMMs for FCVs, with a focus on EMMs based on driving pattern recognition (DPR) and driving characteristic prediction (DCP). Based on the above analysis, an in-depth presentation of the highlights and prospects is provided for the realization of high-performance EMMs for FCVs in real-world driving situations. This paper aims at helping the relevant researchers develop suitable and efficient EMMs for FCVs using driving cycle information. Full article
(This article belongs to the Special Issue Energy Consumption of Electric Vehicles and Hybrid Vehicles)
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