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Energies
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Electric Waves to Future Mobility
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Electric Waves to Future Mobility

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1899

Special Issue Editors

Dr. Heeyun Lee

E-Mail Website1 Website2
Guest Editor
Department of Mechanical Engineering, Dankook University, Yongin-si 16890, Republic of Korea
Interests: electrified vehicles; optimal control; reinforcement learning
Prof. Dr. Namwook Kim

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Hanyang University, Ansan 15588, Republic of Korea
Interests: hybrid electric vehicles; optimal control; powertrain system optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Since its foundation in 1969, the International Electric Vehicle Symposium and Exhibition (EVS) series has grown to into one of the longest-running and most renowned events for advancing technology in electric vehicles and related fields, showcasing current and emerging technologies both in the market and under development.

Under the theme "Electric Waves to Future Mobility", the 37th International Electric Vehicle Symposium and Exhibition (EVS37), which will be held in Seoul, Korea, from April 23 to 26, 2024, aims to address and shape the monumental movement of e-Mobility alongside academic, government, and industry professionals involved in electric vehicle technologies. To achieve our aim, various sessions will be featured in the symposium, dealing with Electric Vehicle Components, Configuration, Manufacturing, Control, Software Defined Vehicles, Infrastructure and Power Grid, the Electric Vehicle Market and Environment Scope, etc.

The topics of interest for this Special Issue are as follows.

  • Electric Vehicle Manufacturing;
  • Electric Vehicle Control;
  • Infrastructure and Power Grid;
  • Energy Sources and Storage;
  • Application Specific EVs;
  • Policy, Standards and Regulation on EV;
  • EV Market Development;
  • Environment and Social Contributions Related to Electric Vehicles.

We look forward to featuring your innovations and accomplishments.

Of course, papers from other communities are also welcome.

Dr. Heeyun Lee
Prof. Dr. Namwook Kim
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

  • electric vehicle
  • infrastructure and power grid
  • energy sources and storage
  • EV market and policy
 

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Published Papers (3 papers)

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Research

15 pages, 12836 KiB  
Article
Experimental Study on Heuristics Energy Management Strategy for Hybrid Energy Storage System
by Alok Ranjan, Sanjay Bodkhe, Gaurav Goyal, Archana Belge and Sneha Tibude
Energies 2024, 17(23), 5850; https://doi.org/10.3390/en17235850 - 22 Nov 2024
Viewed by 263
Abstract
The energy management strategy (EMS) is a decision-making algorithm for effective power allocation between storage devices in a hybrid energy storage system (HESS). Source voltages, state of charge (SOC), the terminal voltage of the load, and the rate of change in the battery [...] Read more.
The energy management strategy (EMS) is a decision-making algorithm for effective power allocation between storage devices in a hybrid energy storage system (HESS). Source voltages, state of charge (SOC), the terminal voltage of the load, and the rate of change in the battery current must be considered while implementing the EMS and, hence, they are termed as performance indicators. This research work focuses on the development of an EMS, designed to manage the performance indicators of the sources (terminal voltage and battery current rate) and ensure efficient power distribution through a shared bus topology. A shared bus topology employs individual converters for each source, offering efficient control over these sources. Rule-based fuzzy logic control ensures efficient power distribution between batteries and ultracapacitors. Additionally, hardware has been developed to validate the power allocation strategy and regulate the DC-link voltage in the energy management system (EMS). dSPACE MicroLabBox is utilized for the implementation of real-time control strategies. A battery and an ultracapacitor bank are utilized in a hybrid energy storage system. The simulation outcomes have been corroborated by experimental data, affirming the efficacy of the proposed energy management strategy. The proposed EMS achieves a 2.1% battery energy saving compared to a conventional battery electric vehicle over a 25 s duration under the same load conditions. Full article
(This article belongs to the Special Issue Electric Waves to Future Mobility)
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15 pages, 11129 KiB  
Article
TestShark: A Passive Conformance Testing System for ISO 15118 Using Wireshark
by Hoguk Lee and Minho Shin
Energies 2024, 17(23), 5833; https://doi.org/10.3390/en17235833 - 21 Nov 2024
Viewed by 295
Abstract
ISO 15118 is an international standard for charging communication between electric vehicles and charging infrastructure. Among the series of ISO 15118, ISO 15118-4, ISO 15118-5, ISO 15118-9, and ISO 15118-21 (under development) define active conformance testing methodologies where the test system engages with [...] Read more.
ISO 15118 is an international standard for charging communication between electric vehicles and charging infrastructure. Among the series of ISO 15118, ISO 15118-4, ISO 15118-5, ISO 15118-9, and ISO 15118-21 (under development) define active conformance testing methodologies where the test system engages with the system under test as a primary actor and tests whether the counterparty is complying with the standard. However, such a full-fledged test system is not appropriate during system development and field testing. In this paper, a passive conformance testing approach that monitors the packets between the electric vehicle and the charger and performs conformance testing against the requirements of ISO 15118 is proposed. This novel approach exhibits practicality yet comprehensive testing capability for field testing because of its passive access to the packets with deep analysis for the conformance. TestShark, a modified packet analysis tool, showed that the passive conformance testing system can help developers and operators analyze problems in charging communication and assess the quality of implementation with respect to ISO 15118. Full article
(This article belongs to the Special Issue Electric Waves to Future Mobility)
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14 pages, 5035 KiB  
Article
Model-Based Angular Position Sensorless Drives of Main Electric Oil Pumps for e-Axles in HEV and BEV
by Chinchul Choi and Jongbeom Kim
Energies 2024, 17(19), 4962; https://doi.org/10.3390/en17194962 - 4 Oct 2024
Viewed by 620
Abstract
This paper describes an approach in improving the performance of the position sensorless control of electric oil pumps with a permanent magnet synchronous motor. Electric oil pumps are widely applied for the lubricating and cooling of e-Axles in HEV and BEV which operate [...] Read more.
This paper describes an approach in improving the performance of the position sensorless control of electric oil pumps with a permanent magnet synchronous motor. Electric oil pumps are widely applied for the lubricating and cooling of e-Axles in HEV and BEV which operate from −40 to 130 °C. The accuracy of the estimation obtained from the sensorless control based on the motor model depends on the accuracy of motor parameters and input values. At a lower speed and lower temperature region, the parameter variation and input measurement errors have gained greater influence over the accuracy of the estimation. This paper describes how to overcome this weakness of the sensorless drive via applying a robust position estimator with electrical parameter adaptation and compensation of a phase voltage measurement error. Experimental results with various types of pumps show the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Electric Waves to Future Mobility)
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