Empirical Li-ion aging model derived from single particle model

Rechkemmer, Sabrina K.; Zang, Xiaoyun; Zhang, Wei Min; Sawodny, Oliver

doi:10.1016/j.est.2019.01.005

Cited by 47 publications

(17 citation statements)

References 43 publications

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“…However, this error tends to increase at the final phase of the cycling test. Likewise, with the purpose of reducing the complexity of electrochemical models, there are other methods such as single-particle models (SPMs), which assume each electrode as a single particle in order to obtain an ordinary differential equation system that models the Li-ion battery behavior [39][40][41]. SPMs have been integrated with a capacity degradation model coupled to a chemical/ mechanical degradation mechanism that allows the prediction of the capacity fade as a function of battery temperature and cycling.…”

Section: White-box Methodsmentioning

confidence: 99%

A Circular Economy of Electrochemical Energy Storage Systems: Critical Review of SOH/RUL Estimation Methods for Second-Life Batteries

Montoya-Bedoya¹,

Sabogal-Moncada²,

Garcia-Tamayo³

et al. 2020

Green Energy and Environment

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Humanity is facing a gloomy scenario due to global warming, which is increasing at unprecedented rates. Energy generation with renewable sources and electric mobility (EM) are considered two of the main strategies to cut down emissions of greenhouse gasses. These paradigm shifts will only be possible with efficient energy storage systems such as Li-ion batteries (LIBs). However, among other factors, some raw materials used on LIB production, such as cobalt and lithium, have geopolitical and environmental issues. Thus, in a context of a circular economy, the reuse of LIBs from EM for other applications (i.e., second-life batteries, SLBs) could be a way to overcome this problem, considering that they reach their end of life (EoL) when they get to a state of health (SOH) of 70-80% and still have energy storage capabilities that could last several years. The aim of this chapter is to make a review of the estimation methods employed in the diagnosis of LIB, such as SOH and remaining useful life (RUL). The correct characterization of these variables is crucial for the reassembly of SLBs and to extend the LIBs operational lifetime.

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Section: White-box Methodsmentioning

confidence: 99%

A Circular Economy of Electrochemical Energy Storage Systems: Critical Review of SOH/RUL Estimation Methods for Second-Life Batteries

Montoya-Bedoya¹,

Sabogal-Moncada²,

Garcia-Tamayo³

et al. 2020

Green Energy and Environment

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“…where C cal is the capacity reached if only calendar degradation exists, and C cyc is the capacity reached if only cyclic degradation exists. Using Equations (9), (10), and (24), the values of the calendar aging life loss function ( NMC cal ) and cyclical aging life loss function ( NMC cyc ), for NMC cells, can be expressed by Equations (29) and (30).…”

Section: Version 1 To Calculate Degradation Costsmentioning

confidence: 99%

“…The models of Astaneh et al [21,22], Xiong et al [23], Wijewardana et al [24], Suresh et al [25,26], and Ashwin et al [27,28] are examples. A simplified electrochemical model is provided by Rechkemmer et al [29]. They proposed a hybridization of the single-particle model and an electrical equivalent model, with better computation time than a single-particle model and more accuracy than an electrical equivalent model.…”

Section: Introductionmentioning

confidence: 99%

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Estimating Degradation Costs for Non-Cyclic Usage of Lithium-Ion Batteries

2020

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Estimating the degradation costs of lithium-ion batteries is essential to the designs of many systems because batteries are increasingly used in diverse applications. In this study, cyclic and calendar degradation models of lithium batteries were considered in optimization problems with randomized non-cyclic batteries use. Such models offer realistic results. Electrical, thermal, and degradation models were applied for lithium nickel cobalt manganese oxide (NMC) and lithium iron phosphate (LFP) technologies. Three possible strategies were identified to estimate degradation costs based on cell models. All three strategies were evaluated via simulations and validated by comparing the results with those obtained by other authors. One strategy was discarded because it overestimates costs, while the other two strategies give good results, and are suitable for estimating battery degradation costs in optimization problems that require deterministic models.

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“…Currently, the science of Li-Ion batteries allows the use of the power bank of the VE to feed point loads (V2L) in addition to extended VE's autonomy. However, it has also been reported that there may be premature degradation ( [19][20][21][22][23][24][25]) that depends predominantly, to the authors' knowledge, on the temperature, state of charge (SoC), charge and discharge current rate (C-rate), and depth of discharge (DoD) during its usage and in some cases also during its storage. That is, although the State of Health of a battery (SoH) will inevitably decrease due (a) to the number of cycles during its usage (cycling aging) and (b) to its inherent expiration date (calendar aging), the SoH decay rate can be modeled as function of factors such as temperature, SoC, the DoD, and the C-rate during its regular use as well as the temperature and SoC during storage [18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Noninvasive Vehicle‐to‐Load Energy Management Strategy to Prevent Li‐Ion Batteries Premature Degradation

Licea

Pérez-Pinal

Soriano-Sánchez

et al. 2019

Mathematical Problems in Engineering

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Today, electric vehicles available in the market aspire to offer different connections to the end user, for instance, Vehicle to Grid (V2G), Vehicle to Building (V2B), Vehicle to Home (V2H), Vehicle to Vehicle (V2V), and Vehicle to Load (V2L), among others. Notwithstanding these versatility options toward the development of a sustainable society, the additional degradation of the energy storage systems once those operate in extra discharge modes is inevitable. Therefore, in this paper, an energy management strategy (EMS) which operates autonomously and noninvasively as an additional layer to the battery management system (BMS) is proposed. The EMS limits the current flow avoiding high and low temperatures, low state of charge (SoC), high deep of discharge (DoD), noncentered DoD around an optimal SoC point, and high charge and discharge rates. The proposed EMS is evaluated by long-term simulations with a Li-Ion battery degradation model and realistic weather conditions, during standard driving cycles including the V2L operation. The effectiveness and simplicity of tuning of the proposed EMS allow estimating and increasing the life expectancy of the Li-Ion battery bank, by limiting the energy used for V2L operation.

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Empirical Li-ion aging model derived from single particle model

Cited by 47 publications

References 43 publications

A Circular Economy of Electrochemical Energy Storage Systems: Critical Review of SOH/RUL Estimation Methods for Second-Life Batteries

A Circular Economy of Electrochemical Energy Storage Systems: Critical Review of SOH/RUL Estimation Methods for Second-Life Batteries

Estimating Degradation Costs for Non-Cyclic Usage of Lithium-Ion Batteries

Noninvasive Vehicle‐to‐Load Energy Management Strategy to Prevent Li‐Ion Batteries Premature Degradation

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