Optimal Multistage Charging of NCA/Graphite Lithium-Ion Batteries Based on Electrothermal-Aging Dynamics

Hu, Xiaosong; Zheng, Yusheng; Lin, Xianke; Xie, Yi

doi:10.1109/tte.2020.2977092

Cited by 60 publications

(22 citation statements)

References 46 publications

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“…The semicircle in the high-frequency region represents the migration resistance ( R sf ) and membrane capacitance of lithium ions through the surface membrane as well as the charge-transfer resistance ( R ct ). The size of this semicircle is attributed to the migration resistance of lithium ions through the solid electrolyte interphase (SEI) film and is mainly determined by the thickness of the SEI film; the diameter of the semicircle is a measure of the charge-transfer resistance, which is related to the contact between the particles, between the electrode and the electrolyte, and the surface quality of the active material and the variation of R ct is related to the structural collapse and side reactions occurring on the surface of the electrode material . The sloping lines in the low-frequency region indicate the intergranular contact impedance and the Warburg diffusion impedance of lithium ions in the material. ,, As shown in Table , the R ct values of the Mn partially substituted materials after activation were all greater than those of the LNCA materials, indicating that Mn may not be as effective as Co in stabilizing the layered structure of materials.…”

Section: Resultsmentioning

confidence: 99%

Understanding the Feasibility of Manganese Substitution for Cobalt in the Synthesis of Nickel-Rich and Cobalt-Free Cathode Materials

Fang

Xie

Wang

et al. 2021

ACS Appl. Energy Mater.

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LiNi 0.8 Co 0.15 Al 0.05 O 2 (LNCA) cathode materials have an extremely high energy density, which can greatly enhance the driving range of pure electric vehicles if they are used in onboard batteries. However, the development of the LNCA cathode material is restricted by the expensive transition metal cobalt (Co). Therefore, researchers are devoted to finding other metals to replace Co to synthesize nickel (Ni)-rich Co-free materials to reduce the cost. To investigate the feasibility of replacing Co with manganese (Mn) as a transition metal, this paper reports the synthesis and compares the properties of four Ni-rich materials with different Co−Mn contents by gradually adding Mn to LNCA materials and reducing the Co content in equal amounts using an oxalic acid coprecipitation method. The results show that Mn can compensate the effect of Co deficiency to a certain extent; it is feasible to use Mn to completely replace Co in the synthesis of Nirich ternary Co-free materials under the premise of sacrificing a certain initial specific capacity. The tetrameric material LiNi 0.8 Co 0.1 Mn 0.05 Al 0.05 O 2 substituted with trace amounts of Mn exhibited the most excellent electrochemical properties among the four synthesized materials. Therefore, to synthesize satisfactory Ni-rich Co-free materials, it is suggested to develop and synthesize quaternary Co-free materials on the basis of LiNi 0.

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Section: Resultsmentioning

confidence: 99%

Understanding the Feasibility of Manganese Substitution for Cobalt in the Synthesis of Nickel-Rich and Cobalt-Free Cathode Materials

Fang

Xie

Wang

et al. 2021

ACS Appl. Energy Mater.

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“…Different lithium-metal oxides used as a cathode electrode are presented in Figure 2. In the automotive industry, NCA is a good choice because of its long lifetime, high specific energy storage, high power density, low cost, and high safety [39]. In contrast, the anode electrode uses lithium-carbon compounds (graphite).…”

Section: Li-ion Battery Operationmentioning

confidence: 99%

A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction

et al. 2022

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According to the United States environmental protection agency (EPA), every burned gallon of gasoline generates 8.87 Kg of CO2. The pollution created by vehicles' fuel consumption has been one of the primary sources of environmental contamination that can lead to more climate changes and global warming. Thus, science and technology have converged on the idea that reducing fuel consumption is benefits the environment and human health. One of the ideas for reducing fuel usage is deploying hybrid electric vehicles (HEVs) and electric vehicles (EVs) using renewable energy as alternatives to gasoline. One of the main issues with EV batteries is that over operational time the battery health degrades and ultimately becomes unsafe to use. It is crucial that safety issues be addressed by researchers and battery manufacturers. Assessing and predicting battery health has been a high-priority research topic to attempt to mitigate the danger introduced by EV batteries. Although various techniques have been developed to estimate and predict the battery's state of health, they do not cover all degradation scenarios that may affect the battery's lifetime. In addition, the models used in estimating and predicting the battery's lifetime need to be improved to provide a more accurate battery health state and guarantee battery safety while in use by an EV. Even though all types of EV batteries face similar issues, this paper focuses on Li-ion EV batteries. The main objectives of this paper are 1) to present various Li-ion battery models that are used to mimic battery dynamic behaviors, 2) to discuss the degradation factors that cause the battery lifespan to be degraded and to become unsafe, 3) to provide a review of the estimation and prediction techniques used for Li-ion battery state-of-health (SOH) and remaining useful life (RUL) estimation along with a discussion of their advantages and limitations, and 4) to provide recommendations for improving battery lifetime estimation. This paper represents a concise source of information for battery community researchers to help expedite beneficial and practical outcomes to improve EV battery safety. INDEX TERMSLithium-ion (Li-ion) batteries, State of health (SOH), Remaining useful life (RUL), Electric vehicles (EVs), battery models, and Battery aging.I. INTRODUCTION E Nvironmental issues caused by Gasoline-powered vehicles are a challenge to automotive manufacturers worldwide. Global energy policies that stress low-carbon emissions require the transforming and upgrading vehicles to use environmentally-friendly renewable energy sources. Lithium-ion (Li-ion) batteries are commonly used as an energy source in electric vehicles (EVs) and hybrid electric vehicles (HEVs) [1, 2] due to their relatively high energy density as well as their fast charging and low self-discharge rate [3]. As a point of clarification, in this paper, we refer to a single battery cell as a battery, whereas an EV's entire battery is referred to as a battery pack. Batteries' performance degrades over time and usage due ...

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“…One of the main challenges in the design of BMS for LIBs is to consider the irreversibility in the degradation process [10]. Capacity fading is directly related to SoH, which is usually defined as the ratio of current energy capacity to the initial energy capacity.…”

Section: State Of the Art Challenges And Outlookmentioning

confidence: 99%

“…Ageing is the main factor in SoH estimation. LIBs have a limited number of charging/discharging cycles that makes them unusable after a while [10]. A high number of research have been made to understand ageing in lithium-ion batteries [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of current density in the electrode and electrolyte of lithium‐ion cells for ageing estimation applications

Javadipour

Mehran

2021

IET Smart Grid

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Lithium-ion battery is the commonly used energy storage technology in electric vehicles (EVs) because of its inexpensive manufacturing cost and high energy capacity. For optimal utilization of its capacity and lifetime, reliable state of health (SoH) monitoring solutions have to be included in the battery management system (BMS). SoH of a cell is affected by several reasons such as internal degradation or external damages that need to be estimated. This article analyses the current density in electrode and electrolyte of an EV lithium-ion cell using a simulation assisted method that leads to improvement in SoH estimation accuracy. The experimental results are analysed through the fusion of the magnetic field images captured by quantum fluxgate magnetometers, installed on the surface of the cell, together with the real-time simulation of the multi-physics model of the cell. The magnetic field sensors measure the magnetic field intensity with an accuracy of ±2 mT. The real-time simulation input data is updated from the measurements of both the magnetic field sensors and the battery cycler. The multi-physics model of the cell is developed in COMSOL modelling software, and real-time data fusion process is implemented on dSPACE Microlabbox real-time simulator. Results confirm that the proposed monitoring solution provides useful insight that can be employed in ageing estimation of EV batteries. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Optimal Multistage Charging of NCA/Graphite Lithium-Ion Batteries Based on Electrothermal-Aging Dynamics

Cited by 60 publications

References 46 publications

Understanding the Feasibility of Manganese Substitution for Cobalt in the Synthesis of Nickel-Rich and Cobalt-Free Cathode Materials

Understanding the Feasibility of Manganese Substitution for Cobalt in the Synthesis of Nickel-Rich and Cobalt-Free Cathode Materials

A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction

Analysis of current density in the electrode and electrolyte of lithium‐ion cells for ageing estimation applications

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