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Battery Aging and Life Prediction for Electric Vehicles, Energy Storage Systems and Portable Electronics 2023

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

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 14925

Special Issue Editor

Prof. Dr. Woojin Choi

E-Mail Website
Guest Editor
Department of Electrical Engineering, Soongsil University, Seoul 06978, Korea
Interests: high power battery charger for EV; battery management system; estimation for state-of-charge (SOC) and state-of-health (SOH) of the battery; study on future fuel cell and electric vehicle; fuel cell system’s balance-of-plant; design and control of the power converter (DC/DC converter and DC/AC inverter); grid-connected and distributed power using renewable energy; modeling and application of electrochemical energy source (fuel cell, supercapacitor, battery, etc.); diagnosis of electric apparatuses and electrochemical energy devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Battery aging and life prediction have become a challenge and research hotspot in many application areas such as electric vehicles, energy storage systems and portable electronics. Hence, their degradation identification, state estimation and prediction of remaining useful life have become a focus of attention to avoid its premature failure and improve the system reliability. An advanced battery management system that can accurately monitor the battery degradation process and predict the life is essential for the automated and optimized scheduling of the maintenance which, in turn, ensures the safe operation and extended life of batteries.

This Special Issue highlights research at the forefront of this field, inviting contributions (either research, perspective or review articles) addressing battery modeling and aging mechanisms, anti-aging operation methodologies, life span and remaining useful life prediction, diagnosis and prognosis, accelerated life testing and data analysis, optimal battery management strategies and application of artificial intelligence. Additionally, the authors are encouraged to submit papers addressing the state-of-the-art and recent advancements in the areas, providing useful guidelines for future research directions.

Potential topics include, but are not limited to:

  • Modeling of the batteries for aging and life prediction.
  • Anti-aging operation strategy.
  • Calendar life and remaining useful life prediction.
  • Diagnosis and prognosis of the failure.
  • Accelerated life testing and data analysis.
  • Optimal battery management strategies.
  • Online estimation for state of charge, state of health and state of function.
  • Application of artificial intelligence.

Prof. Dr. Woojin Choi
Guest Editor

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

  • battery modeling
  • aging mechanism
  • remaining useful life prediction
  • diagnosis and prognosis
  • accelerated life testing
  • battery management system
  • online estimation
  • state-of-charge
  • state-of-health
  • state-of-function
  • artificial intelligence

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Published Papers (3 papers)

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Research

19 pages, 10939 KiB  
Article
Long-Term Self-Discharge Measurements and Modelling for Various Cell Types and Cell Potentials
by Mohamed Azzam, Moritz Ehrensberger, Reinhard Scheuer, Christian Endisch and Meinert Lewerenz
Energies 2023, 16(9), 3889; https://doi.org/10.3390/en16093889 - 4 May 2023
Cited by 11 | Viewed by 5060
Abstract
Self-discharge of lithium-ion cells leads to voltage decay over time. In this work, the self-discharge was measured at 30 ∘C for three cell types at various voltage levels for about 150 days in a constant voltage mode determining the current at a [...] Read more.
Self-discharge of lithium-ion cells leads to voltage decay over time. In this work, the self-discharge was measured at 30 ∘C for three cell types at various voltage levels for about 150 days in a constant voltage mode determining the current at a high precision (float current). All cells exhibit a transient part leading to a steady-state, which is no longer influenced by reversible effects. To study the effect of the check-ups on the steady-state float current, the cells, interrupted and not interrupted by check-ups, were compared. The results indicate that both the transient processes and steady-state currents are highly reproducible. In the first period of the float current, the polarization dominates the measured current, followed by the anode overhang effect dominating the process for a period of 5–30 days. After the decline of both processes, a mostly constant steady-state in the order of μA is observed. The check-up interruption generally shows no apparent effect on the reached steady-state and results only in an extended settling time. A model to simulate the transient process and steady-state of float currents was developed. The model shows a high accuracy in reproducing the results and identifying the time needed to reach the steady-state. Full article
(This article belongs to the Special Issue Battery Aging and Life Prediction for Electric Vehicles, Energy Storage Systems and Portable Electronics 2023)
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21 pages, 6146 KiB  
Article
Experimental Study of the Degradation Characteristics of LiFePO4 and LiNi0.5Co0.2Mn0.3O2 Batteries during Overcharging at Low Temperatures
by Xiaoning Zhang, Pengfei Sun, Shixue Wang and Yu Zhu
Energies 2023, 16(6), 2786; https://doi.org/10.3390/en16062786 - 17 Mar 2023
Cited by 4 | Viewed by 6601
Abstract
Battery overcharging can occur due to capacity and internal resistance variations among cells or battery management system failure that both accelerate battery degradation, which is more likely at low temperatures because of the large polarization effect. This study experimentally investigated the battery degradation [...] Read more.
Battery overcharging can occur due to capacity and internal resistance variations among cells or battery management system failure that both accelerate battery degradation, which is more likely at low temperatures because of the large polarization effect. This study experimentally investigated the battery degradation characteristics during charging of LiFePO4 (LFP)/Graphite batteries at voltages of 3.65–4.8 V and Li(Ni0.5Co0.2Mn0.3)O2 (NCM)/Graphite batteries at 4.2–4.8 V at −10 °C with currents of 0.2–1 C. The results showed that the LFP cell capacities decreased linearly with an increasing number of cycles, while the NCM cell capacities faded in three trends with an increasing number of cycles under different conditions with linear fading, accelerated fading, and decelerated fading. The incremental capacity curves and differential voltage curves showed that the LFP cell degradation was mainly caused by the loss of lithium inventory (LLI), with some effect from the loss of active material (LAM). In the NCM cells, both the LLI and LAM significantly contributed to the degradation. Combined with internal battery morphology observations, the LAM mainly occurred at the anode, and the main side reactions leading to the LLI with lithium plating and solid electrolyte interface growth also occurred at the anode. Full article
(This article belongs to the Special Issue Battery Aging and Life Prediction for Electric Vehicles, Energy Storage Systems and Portable Electronics 2023)
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15 pages, 5885 KiB  
Article
A Novel Technique for Fast Ohmic Resistance Measurement to Evaluate the Aging of Lithium-Ion xEVs Batteries
by Muhammad Sheraz and Woojin Choi
Energies 2023, 16(3), 1416; https://doi.org/10.3390/en16031416 - 1 Feb 2023
Cited by 4 | Viewed by 2725
Abstract
Lithium-ion batteries are gaining more attention due to the rapid growth of electrical vehicles (EVs). Additionally, the industry is putting a lot of effort into reusing EV batteries in energy storage systems (ESS). The optimal performance of the repurposed battery system is highly [...] Read more.
Lithium-ion batteries are gaining more attention due to the rapid growth of electrical vehicles (EVs). Additionally, the industry is putting a lot of effort into reusing EV batteries in energy storage systems (ESS). The optimal performance of the repurposed battery system is highly dependent on the individual batteries used in it. These batteries need to be similar in terms of battery capacity, state of health (SOH), and remaining useful life (RUL). Therefore, battery grading techniques are expected to play a vital role in this newly emerging industry. There are various methods suggested to evaluate the aging of a battery in terms of capacity, SOH, and RUL. The use of ohmic resistance is one approach, as it varies with the aging of the battery. In order to measure the ohmic resistance, electrochemical impedance spectroscopy (EIS) is used, followed by the curve fitting procedures. In this research a novel method is suggested to measure the ohmic resistance without performing the broadband conventional EIS test and the curve fitting. Since the battery is perturbed for a specified frequency band (1 kHz to 100 Hz) using the linearly distributed phased multi-sine signal, only 1 sec perturbation is required, and the ohmic resistance can be directly calculated by using two impedance values. Thus, the measurement speed is several times faster than that of the conventional EIS methods. Hence, it is a suitable and convenient technique for the mass testing of the batteries. The accuracy and validity of the proposed technique are verified by testing three types of batteries. The percentage difference in the measured ohmic resistance value between the conventional and the proposed technique is less than 0.15% for all the batteries tested. Full article
(This article belongs to the Special Issue Battery Aging and Life Prediction for Electric Vehicles, Energy Storage Systems and Portable Electronics 2023)
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