Analysis of degradation in residential battery energy storage systems for rate-based use-cases

Mishra, Partha; Latif, Aadil; Emmanuel, Michael; Shi, Ying; McKenna, Killian; Smith, Kandler; Nagarajan, Adarsh

doi:10.1016/j.apenergy.2020.114632

Cited by 41 publications

(6 citation statements)

References 14 publications

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“…Fortunately, the rainflow cycle-counting algorithm is widely used in calculating fatigue life and can be adapted for effectively calculating the stress effect. The specific calculation rules of the rainflow algorithm can be found in [37]. This paper uses the SOC profile as the algorithm input, and the following information can be obtained: the DOD of each cycle, average SOC of each cycle, number of cycles (0.5 for a half cycle, or 1 for a full cycle), start and end time of the cycle, and cycle duration.…”

Section: Overview Of Operational Reliability Assessment Algorithmsmentioning

confidence: 99%

Operational Reliability Modeling and Assessment of Battery Energy Storage Based on Lithium-ion Battery Lifetime Degradation

Cheng

Wan

Zhou

et al. 2022

Journal of Modern Power Systems and Clean Energy

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Battery energy storage (BES) systems can effectively meet the diversified needs of power system dispatching and assist in renewable energy integration. The reliability of energy storage is essential to ensure the operational safety of the power grid. However, BES systems are composed of battery cells. This suggests that BES performance depends not only on the configuration but also on the operating state over different lifetime durations. The lack of safety and reliability is the main bottleneck preventing widespread applications of BES systems. Therefore, a reliability assessment algorithm and a weak-link analytical method for BES systems are proposed while considering battery lifetime degradation. Firstly, a novel lithium-ion battery model is proposed to identify the degradation rate of solid electrolyte interphase film formation and capacity plummeting. The impacts of different operating conditions are considered in stress factor models. Then, a reliability assessment algorithm for a BES system is introduced based on a universal generating function. An innovative weak-link analytical method based on the reliability importance index is proposed that combines the evaluation results of state-oriented and state-change-oriented indexes through an entropy weight method. The model, algorithm, indexes, and the usefulness are demonstrated in case studies based on aging test data and actual bus operating data. The results demonstrate the effects of the battery status and working conditions on BES reliability. Weak-link analysis is also used to assist BES systems in avoiding short-board batteries to achieve long lifetimes and efficient operation.

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Section: Overview Of Operational Reliability Assessment Algorithmsmentioning

confidence: 99%

Operational Reliability Modeling and Assessment of Battery Energy Storage Based on Lithium-ion Battery Lifetime Degradation

Cheng

Wan

Zhou

et al. 2022

Journal of Modern Power Systems and Clean Energy

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“…Considering that temperature inhomogeneities have been demonstrated experimentally to enhance the rate of degradation 19 , 21 , it can be argued that most models assuming homogeneous degradation are likely to have overestimated the rate of degradation, possibly with significant consequences. Thermally lumped degradation models 22 – 24 fundamentally lack the ability to reproduce the interaction between the cooling strategy, or any application-relevant thermal boundary conditions, and the degree of degradation inhomogeneity. Thus lumped models cannot correctly predict the acceleration in overall cell degradation.…”

Section: Introductionmentioning

confidence: 99%

Effect of thermal gradients on inhomogeneous degradation in lithium-ion batteries

Li,

Zhang,

Zhao

et al. 2023

Commun Eng

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Understanding lithium-ion battery degradation is critical to unlocking their full potential. Poor understanding leads to reduced energy and power density due to over-engineering, or conversely to increased safety risks and failure rates. Thermal management is necessary for all large battery packs, yet experimental studies have shown that the effect of thermal management on degradation is not understood sufficiently. Here we investigated the effect of thermal gradients on inhomogeneous degradation using a validated three-dimensional electro-thermal-degradation model. We have reproduced the effect of thermal gradients on degradation by running a distributed model over hundreds of cycles within hours and reproduced the positive feedback mechanism responsible for the accelerated rate of degradation. Thermal gradients of just 3 °C within the active region of a cell produced sufficient positive feedback to accelerate battery degradation by 300%. Here we show that the effects of inhomogeneous temperature and currents on degradation cannot and should not be ignored. Most attempts to reproduce realistic cell level degradation based upon a lumped model (i.e. no thermal gradients) have suffered from significant overfitting, leading to incorrect conclusions on the rate of degradation.

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“…The BMS should enable an accurate estimation of battery state of charge (SOC) and state of health (SOH) and utilize models, which predict the remaining useful life (RUL) and power capability. [4,5] Advancements in battery management are of particular importance, considering the manifold challenging operating conditions such as highly dynamic and irregular load in EVs, [6] vehicle-to-grid applications, [7,8] fast charging, [9] or variation of patterns in environmental conditions due to seasonal and regional differences [10] that a battery faces in the field. Under such conditions, an estimation of RUL and power capability is associated with significant uncertainty, which needs to be addressed.…”

Section: Introductionmentioning

confidence: 99%

A Review and Perspective on Path Dependency in Batteries

Röder

Ramasubramanian

2022

Energy Tech

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Figure 6. Mechanistic theories, models, and insights of short-and mid-term path dependency. a) Shrinking core model. Reproduced with permission. [70] Copyright 2010, Elsevier. b) Voltage hysteresis simulation using a particle-by-particle model with ten particles. Reproduced with permission. [96] Copyright 2011, Elsevier. c) Experimental observation of phase change in LFP for high (C20) and low (C5) content of carbon. Reproduced with permission. [97]

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Analysis of degradation in residential battery energy storage systems for rate-based use-cases

Cited by 41 publications

References 14 publications

Operational Reliability Modeling and Assessment of Battery Energy Storage Based on Lithium-ion Battery Lifetime Degradation

Operational Reliability Modeling and Assessment of Battery Energy Storage Based on Lithium-ion Battery Lifetime Degradation

Effect of thermal gradients on inhomogeneous degradation in lithium-ion batteries

A Review and Perspective on Path Dependency in Batteries

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