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Electric Vehicle Battery Pack and Electric Motor Sizing Methods
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Electric Vehicle Battery Pack and Electric Motor Sizing Methods

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: closed (31 March 2025) | Viewed by 1334

Special Issue Editors

Dr. Juan Tudon-Martínez

E-Mail Website
Guest Editor
Mechatronics Department, School of Engineering and Sciences, Tecnológico de Monterrey, Av. E Garza Sada 2501, Monterrey 64700, Mexico
Interests: electric vehicles; autonomous vehicles; vehicle dynamics; vehicle control; electromobility; smart mobility
Dr. Jorge De Jesús Lozoya-Santos

E-Mail Website
Guest Editor
Mechatronics Department, School of Engineering and Sciences, Tecnológico de Monterrey, Av. E Garza Sada 2501, Monterrey 64700, Mexico
Interests: electromobility; smart cities; transportation; electric vehicles; electric motors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the future trend of decarbonizing the automotive industry over the next 15 years, many automotive OEMs and governments around the world have planned to halt the production of ICE vehicles and remove them from the market between the years 2030 and 2035. Electric vehicles (EVs) are one of the most prominent solutions for encompassing future mobility requirements, and the prominence of battery EVs powered by sustainable and clean sources is evident. Due to battery capacity, lifetime, aging, and depot are some of the prominent current issues in the research field of batteries, and the design of a proper battery pack for EVs is still an open research problem which needs to be solved in order for EVs to reach optimal functionality. Powertrain technologies, especially electric motors, are also components that need to be properly designed to reduce the energy consumption of EVs according to the specifications of each car, such as mechanical and electrical specs, driving cycles, vehicle use, charging technologies, etc. This Special Issue invites the submission of original research papers that address these challenges and opportunities in the field of EV battery pack and electric motor sizing methods.

Topics of interest for this Special Issue include, but are not limited to:

  • Electric vehicle batteries;
  • New batteries technologies;
  • Dimensioning and design of battery packs;
  • Battery charging;
  • Battery packaging cooling;
  • Vibrations in battery packaging;
  • Battery management systems;
  • Recycling of battery packs;
  • Electric vehicle powertrains;
  • Traction motor systems;
  • Electric machine design for electric vehicles;
  • Design, analysis, control, and implementation of EV motor drives;
  • Energy storage systems for electric vehicles.

Dr. Juan Tudon-Martínez
Dr. Jorge De Jesús Lozoya-Santos
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. World Electric Vehicle Journal is an international peer-reviewed open access monthly 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 1400 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 vehicles
  • batteries
  • battery packs
  • battery chargers
  • BMS
  • electric motors
  • electric vehicle powertrain
  • electric motor drives

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Published Papers (2 papers)

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Research

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23 pages, 15567 KiB  
Article
A Two-Stage Multi-Parameter-Based Sorting Method for Ensuring Consistency Between Parallel-Connected Lithium-Ion Batteries
by Hanchi Hong, Xiangxin Chen, Luigi d’Apolito, Yangqi Ye and Shuiwen Shen
World Electr. Veh. J. 2025, 16(3), 125; https://doi.org/10.3390/wevj16030125 - 24 Feb 2025
Viewed by 587
Abstract
Lithium-ion power battery pack life, capacity and safety depend primarily on consistency between battery cells. However, inconsistencies between battery cells are inevitable due to the inherent variability in production processes and operational environments. In parallel circuits, battery management systems can usually only monitor [...] Read more.
Lithium-ion power battery pack life, capacity and safety depend primarily on consistency between battery cells. However, inconsistencies between battery cells are inevitable due to the inherent variability in production processes and operational environments. In parallel circuits, battery management systems can usually only monitor the total module current and terminal voltage, which results in limitations that lead to inter-unit inconsistency, reducing overall safety and energy efficiency. The conventional method of battery sorting involves analyzing static parameters such as capacity, internal resistance and voltage to ensure static consistency between cells. Nonetheless, cell-to-cell variations are more pronounced during dynamic and complex operations. The direct integration of static and dynamic features may result in data scale discrepancies and redundant information. Thus, the present study proposes a two-stage multi-parameter clustering method based on static and dynamic features. Initially, Density-Based Spatial Clustering of Applications with Noise (DBSCAN) was applied to sort abnormal batteries and identify the number of subsequent clusters, using discharge capacity, internal resistance and open-circuit voltage (OCV) as inputs. Then, a Principal Component Analysis (PCA) was used to downscale and extract features from the discharge voltage profile. The principal component data were used as inputs to the Self-Organizing Map (SOM) clustering algorithm, which uses its self-organized and unsupervised learning characteristics to mine more dynamic time-series features and complete the final clustering and sorting. Finally, the effectiveness of the two-stage sorting method in parallel circuits was verified by determining clustering evaluation indexes, as well as the cycle life and discharge curves of batteries reassembled in parallel. Full article
(This article belongs to the Special Issue Electric Vehicle Battery Pack and Electric Motor Sizing Methods)
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Review

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22 pages, 2478 KiB  
Review
Thermal Management Systems for Lithium-Ion Batteries for Electric Vehicles: A Review
by Kenia Yadira Gómez Díaz, Susana Estefany De León Aldaco, Jesus Aguayo Alquicira, Mario Ponce Silva, Samuel Portillo Contreras and Oscar Sánchez Vargas
World Electr. Veh. J. 2025, 16(7), 346; https://doi.org/10.3390/wevj16070346 - 23 Jun 2025
Abstract
Recently, electric vehicles (EVs) have proven to be a practical option for lowering greenhouse gas emissions and reducing reliance on fossil fuels. Lithium-ion batteries, at the core of this innovation, require efficient thermal management to ensure optimal performance, safety, and durability. This article [...] Read more.
Recently, electric vehicles (EVs) have proven to be a practical option for lowering greenhouse gas emissions and reducing reliance on fossil fuels. Lithium-ion batteries, at the core of this innovation, require efficient thermal management to ensure optimal performance, safety, and durability. This article reviews current scientific studies on controlling the temperature of lithium-ion batteries used in electric vehicles. Several cooling strategies are discussed, including air cooling, liquid cooling, the use of phase change materials (PCMs), and hybrids that combine these three types of cooling, with the primary objective of enhancing the thermal performance of the batteries. Additionally, the challenges and proposed solutions in battery pack design and energy management methodologies are explored. As the demand for electric vehicles increases, improving battery thermal management systems (BTMSs) is becoming increasingly important. Implementing and developing better BTMSs will help increase the autonomy and safety of electric vehicles in the long term. Full article
(This article belongs to the Special Issue Electric Vehicle Battery Pack and Electric Motor Sizing Methods)
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