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Energies
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Advanced Control and Monitoring Systems in Automotive Power Electronics
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Advanced Control and Monitoring Systems in Automotive Power Electronics

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

Deadline for manuscript submissions: 5 September 2025 | Viewed by 2032

Special Issue Editors

Dr. Pierpaolo Dini

E-Mail Website
Guest Editor
Department of Information Engineering, University of Pisa, 56122 Pisa, Italy
Interests: model-based design; simulation and co-simulation; power electronics; electric power drives; applied control, identification and monitoring theory; embedded systems; automotive; machine learning; in-vehicle cybersecurity and safety
Special Issues, Collections and Topics in MDPI journals
Dr. Lorenzo Diana

E-Mail Website
Guest Editor Assistant
Evidence Srl, 56124 Pisa, Italy
Interests: TinyML; AI; ML; embedded systems; automotive; real-time
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue titled "Advanced Control and Monitoring Systems in Automotive Power Electronics" seeks to investigate the latest advancements in control and monitoring technologies that are reshaping the field of automotive power electronics. As the automotive industry moves increasingly towards electrification and automation, the integration of advanced control systems and monitoring solutions has become essential to enhancing vehicle performance, safety, and reliability.

The automotive sector is undergoing a significant transformation, driven by the growing adoption of electric vehicles (EVs), hybrid electric vehicles (HEVs), and autonomous driving technologies. These developments demand innovative approaches to power electronics, which are crucial for managing energy conversion, storage, and distribution within vehicles. This Special Issue will address a wide range of topics, including, but not limited to, the following:

  • Advanced Control Strategies: An exploration of novel control algorithms designed to improve the efficiency levels and performances of power electronic converters and motor drives. This includes model predictive control, adaptive control, and robust control techniques tailored for automotive applications.
  • Real-Time Monitoring Systems: A discussion on the implementation of real-time monitoring frameworks that utilize advanced sensors and data analytics to ensure optimal operation of power electronics systems. Topics include health monitoring, fault detection, and predictive maintenance strategies aimed at enhancing system reliability.
  • Integration of AI and Machine Learning: An examination of how artificial intelligence (AI) and machine learning techniques can be leveraged to optimize control strategies and improve monitoring capabilities in automotive power electronics.
  • Energy Management Systems: Insights into intelligent energy management solutions designed to optimize energy consumption in electric and hybrid vehicles. This includes strategies for battery management, regenerative braking systems, and integration with renewable energy sources.
  • Safety and Cybersecurity: A focus on the challenges related to safety and cybersecurity in automotive power electronics, particularly as vehicles become more interconnected and dependent on software-defined systems.
  • Case Studies and Practical Applications: The presentation of case studies showcasing successful implementations of advanced control and monitoring systems in real-world automotive applications, demonstrating their impacts on performance improvements and operational efficiency.

Through this Special Issue, we will gather original research articles, review papers, and case studies that advance our shared understanding of advanced control and monitoring systems in automotive power electronics. We invite researchers, practitioners, and industry experts to contribute their findings to help us to shape the future of automotive technology in this rapidly evolving field.

Dr. Pierpaolo Dini
Guest Editor

Dr. Lorenzo Diana
Guest Editor Assistant

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

  • automotive power electronics
  • advanced control systems
  • real-time monitoring
  • energy management systems
  • electric vehicles (EVs)
  • hybrid electric vehicles (HEVs)
  • model predictive control
  • adaptive control
  • robust control
  • artificial intelligence in automotive
  • machine learning in power electronics
  • fault detection systems
  • health monitoring in electronics
  • predictive maintenance
  • battery management systems
  • regenerative braking systems
  • cybersecurity in automotive systems
  • safety in power electronics
  • power electronic converters
  • autonomous vehicles
  • energy storage in automotive
  • smart sensors in automotive
  • reliability in automotive electronics
  • wide bandgap semiconductors (WBGs) electric drivetrain control.

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Published Papers (2 papers)

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Research

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18 pages, 2918 KiB  
Article
Simulation Model as an Element of Sustainable Autonomous Mobile Robot Fleet Management
by Magdalena Dobrzańska and Paweł Dobrzański
Energies 2025, 18(8), 1894; https://doi.org/10.3390/en18081894 - 8 Apr 2025
Viewed by 278
Abstract
Computer simulations of processes are increasingly used in business practice to improve the results of an enterprise and maximise its value. Designing process models and simulating their behaviour provide the opportunity to analyse economic and operational results before appropriate organisational, location, and investment [...] Read more.
Computer simulations of processes are increasingly used in business practice to improve the results of an enterprise and maximise its value. Designing process models and simulating their behaviour provide the opportunity to analyse economic and operational results before appropriate organisational, location, and investment decisions are made. This article presents the possibilities of using simulation modelling in intralogistics systems. In the presented article, a decision-making support tool based on the DES simulator developed by the authors was proposed. This tool supports the decision-making process based on the analysis of parameters that affect the energy efficiency of the analysed process and its sustainability. The possibilities of the proposed tool were presented by giving an example of the analysis of the implementation of the automation of intralogistics processes. As part of the implementation, the use of Autonomous Mobile Robot (AMR) vehicles was proposed. By conducting experiments of the intralogistics system model and analysing the obtained results also in terms of energy consumption by AMR vehicles, the proposed project can be verified and improvements can be proposed. The results obtained in this research confirmed the possibility of using the proposed tool for supporting the decision-making process for assessing the energy efficiency of the designed intralogistics system. The proposed method is a cost-free element of analysis that helps the management staff of a given enterprise make appropriate decisions. Full article
(This article belongs to the Special Issue Advanced Control and Monitoring Systems in Automotive Power Electronics)
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Review

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28 pages, 1273 KiB  
Review
A Compact Overview on Li-Ion Batteries Characteristics and Battery Management Systems Integration for Automotive Applications
by Andrea Ria and Pierpaolo Dini
Energies 2024, 17(23), 5992; https://doi.org/10.3390/en17235992 - 28 Nov 2024
Cited by 4 | Viewed by 1431
Abstract
The transition to sustainable mobility is progressing rapidly, with electric vehicles (EVs) playing a pivotal role in lowering greenhouse gas emissions and reducing the reliance on fossil fuels. At the core of this transformation are lithium-ion batteries (Li-ion), valued for their high energy [...] Read more.
The transition to sustainable mobility is progressing rapidly, with electric vehicles (EVs) playing a pivotal role in lowering greenhouse gas emissions and reducing the reliance on fossil fuels. At the core of this transformation are lithium-ion batteries (Li-ion), valued for their high energy density and long cycle life. However, the increasing demand for EVs necessitates continuous improvements in battery technology and the integration of advanced systems to ensure safe, efficient, and reliable performance. This review offers a clear and comprehensive summary of the latest innovations in Li-ion battery chemistry, battery pack design, and Battery Management System (BMS) functionalities. Unlike other reviews, this work emphasizes practical considerations, such as voltage, power, size, and weight for commercial vehicles. It also addresses integrated safety solutions, including disconnection systems and pre-charge circuits, which are vital for enhancing battery safety and lifespan. Additionally, it explores key BMS functions, like cell monitoring, balancing, and thermal management, all crucial for maximizing battery performance and ensuring safe operation. By consolidating current research and industry practices, this article provides essential information in a concise yet accessible format. It enables researchers to quickly gain a solid understanding of the field, distinguishing itself from reviews that focus on narrower aspects of battery technology. Its holistic approach delivers valuable insights for improving EV charging systems’ safety and performance, making it a highly useful resource for researchers and industry professionals alike. Full article
(This article belongs to the Special Issue Advanced Control and Monitoring Systems in Automotive Power Electronics)
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