The Battery Life Estimation of a Battery under Different Stress Conditions

The prediction of capacity degradation, and more generally of the behaviors related to battery aging, is useful in the design and use phases of a battery to help improve the efficiency and reliability of energy systems. In this paper, a stochastic model for the prediction of battery cell degradation is presented. The proposed model takes its cue from an approach based on Markov chains, although it is not comparable to a Markov process, as the transition probabilities vary with the number of cycles that the cell has performed. The proposed model can reproduce the abrupt decrease in the capacity that occurs near the end of life condition (80% of the nominal value of the capacity) for the cells analyzed. Furthermore, we illustrate the ability of this model to predict the capacity trend for a lithium-ion cell with nickel manganese cobalt (NMC) at the cathode and graphite at the anode, subjected to a life cycle in which there are different aging factors, using the results obtained for cells subjected to single aging factors.

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Battery Life Estimation of a Battery Under Different Stress Conditions

10.20944/preprints202110.0004.v2 ◽

2021 ◽

Author(s):

Natascia Andrenacci ◽

Francesco Vellucci ◽

Vincenzo Sglavo

Keyword(s):

Transition Probabilities ◽

Lithium Ion ◽

Battery Life ◽

Battery Cell ◽

Abrupt Decrease ◽

Lithium Ion Cell ◽

Proposed Model ◽

Capacity Degradation ◽

Number Of Cycles ◽

Aging Factors

The prediction of capacity degradation, and more generally of the behaviors related to battery aging, is useful in the design and use phases of a battery to help improve the efficiency and reliability of energy systems. In this paper, a stochastic model for the prediction of battery cell degradation is presented. The proposed model takes its cue from an approach based on Markov chains, although it is not comparable to a Markov process, as the transition probabilities vary as the number of cycles that the cell has performed varies. The proposed model can reproduce the abrupt decrease in the capacity that occurs near the end of life condition (80% of the nominal value of the capacity) for the cells analyzed. Furthermore, we illustrate the ability of this model to predict the capacity trend for a lithium-ion cell with nickel-manganese-cobalt (NMC) at the cathode and graphite at the anode subjected to a life cycle in which there are different aging factors, using the results obtained for cells subjected to single aging factors.

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Battery Life Estimation of a Battery Under Different Stress Conditions

10.20944/preprints202110.0004.v1 ◽

2021 ◽

Author(s):

Natascia Andrenacci ◽

Francesco Vellucci ◽

Vincenzo Sglavo

Keyword(s):

Transition Probabilities ◽

Lithium Ion ◽

Battery Life ◽

Battery Cell ◽

Abrupt Decrease ◽

Lithium Ion Cell ◽

Proposed Model ◽

Capacity Degradation ◽

Number Of Cycles ◽

Aging Factors

The prediction of capacity degradation, and more generally of the behaviors related to battery aging, is useful in the design and use phases of a battery to help improve the efficiency and reliability of energy systems. In this paper, a stochastic model for the prediction of battery cell degradation is presented. The proposed model takes its cue from an approach based on Markov chains, although it is not comparable to a Markov process, as the transition probabilities vary as the number of cycles that the cell has performed varies. The proposed model can reproduce the abrupt decrease in the capacity that occurs near the end of life condition (80% of the nominal value of the capacity) for the cells analyzed. Furthermore, we illustrate the ability of this model to predict the capacity trend for a lithium-ion cell with nickel-manganese-cobalt (NMC) at the cathode and graphite at the anode subjected to a life cycle in which there are different aging factors, using the results obtained for cells subjected to single aging factors.

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Post-lithium-ion battery cell production and its compatibility with lithium-ion cell production infrastructure

Nature Energy ◽

10.1038/s41560-020-00748-8 ◽

2021 ◽

Vol 6 (2) ◽

pp. 123-134

Author(s):

Fabian Duffner ◽

Niklas Kronemeyer ◽

Jens Tübke ◽

Jens Leker ◽

Martin Winter ◽

...

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Battery Cell ◽

Cell Production ◽

Lithium Ion Cell

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Attention-Based Long Short-Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries

Batteries ◽

10.3390/batteries7040066 ◽

2021 ◽

Vol 7 (4) ◽

pp. 66

Author(s):

Tadele Mamo ◽

Fu-Kwun Wang

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Prediction Accuracy ◽

Short Term Memory ◽

Lithium Ion ◽

Short Term ◽

Term Memory ◽

Proposed Model ◽

Capacity Degradation ◽

Long Short Term Memory

Monitoring cycle life can provide a prediction of the remaining battery life. To improve the prediction accuracy of lithium-ion battery capacity degradation, we propose a hybrid long short-term memory recurrent neural network model with an attention mechanism. The hyper-parameters of the proposed model are also optimized by a differential evolution algorithm. Using public battery datasets, the proposed model is compared to some published models, and it gives better prediction performance in terms of mean absolute percentage error and root mean square error. In addition, the proposed model can achieve higher prediction accuracy of battery end of life.

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Comparative Study on the Calendar Aging Behavior of Six Different Lithium-Ion Cell Chemistries in Terms of Parameter Variation

Energies ◽

10.3390/en14113358 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3358

Author(s):

Christian Geisbauer ◽

Katharina Wöhrl ◽

Daniel Koch ◽

Gudrun Wilhelm ◽

Gerhard Schneider ◽

...

Keyword(s):

Open Circuit Voltage ◽

Lithium Ion ◽

Aging Effect ◽

Open Circuit ◽

Capacity Loss ◽

Lithium Ion Cells ◽

Lithium Ion Cell ◽

Capacity Degradation ◽

Aging Conditions ◽

Stationary Conditions

The degradation of lithium-ion cells is an important aspect, not only for quality management, but also for the customer of the application like, e.g., scooters or electric vehicles. During the lifetime of the system, the overall health on the battery plays a key role in its depreciation. Therefore, it is necessary to monitor the health of the battery during operation, i.e., cycle life, but also during stationary conditions, i.e., calendar aging. In this work, the degradation due to calendar aging is analyzed for six different cell chemistries in terms of capacity degradation and impedance increase and their performance are being compared. In a new proposed metric, the relative deviations between various cells with the exact identical aging history are being analyzed for their degradation effects and their differences, which stands out in comparison to similar research. The capacity loss was found to be most drastic at 60 °C and at higher storage voltages, even for titanate-oxide cells. LiNiMnCoO2 (NMC), LiNiCoAlO2 (NCA) and Li2TiO3 (LTO) cells at 60 °C showed the most drastic capacity decrease. NMC and NCA cells at 60 °C and highest storage voltage did not show any open circuit voltage, as their current interrupt mechanism triggered. The effect of aging shows no uniform impact on the changes in the capacity variance when comparing different aging conditions, with respect to the evaluated standard deviation for all cells. The focus of this work was on the calendar aging effect and may be supplemented in a second study for cyclic aging.

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Cell Equalization System for Li-Ion Battery Management Based on Fly-Back DC/AC Convertor

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.614.227 ◽

2014 ◽

Vol 614 ◽

pp. 227-232 ◽

Cited By ~ 1

Author(s):

Ding Song ◽

Yue Hua Niu ◽

Jie Xing ◽

Jing Mei Zhu

Keyword(s):

Lithium Ion Battery ◽

Low Voltage ◽

Lithium Ion ◽

Cell Voltage ◽

Experimental Result ◽

Battery Life ◽

Battery Management ◽

Battery Cell ◽

And Performance ◽

Ac Converters

Cell equalization acts an important role on the battery life preserving for space application. This paper describes a lithium ion battery cell equalization method for spacecraft that employs innovative design features in power subsystem. The scheme proposed for balancing the battery pack relies on energy conversion devices as it uses transformers to move energy from high voltage cells to low voltage cells without energy loss. The method employs bi-directional forward DC-AC converters, plus a unique common node to provide autonomous charge distribution. It also supports individual cell voltage monitoring, telemetry data. Multisim is used to analyze the function and performance, experimental result proves that the method is effective for Lithium Ion battery equalization.

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Thermal analysis of a fast charging technique for a high power lithium ion cell

10.20944/preprints201607.0086.v1 ◽

2016 ◽

Author(s):

Victor Manuel García Fernández ◽

Cecilio Blanco Viejo ◽

David Anseán González ◽

Manuela González Vega ◽

Yoana Fernández Pulido ◽

...

Keyword(s):

Heat Generation ◽

Cell Model ◽

Lithium Ion ◽

Specific Heats ◽

Lithium Ion Cell ◽

Proposed Model ◽

Fast Discharge ◽

Fast Charging ◽

1D Model ◽

Model Adjustment

The cell case temperature versus time profiles of a multistage fast charging technique (4C-1C-CV)/fast discharge (4C) in a 2.3 Ah cylindrical lithium-ion cell are analyzed using a 1D thermal model. Heat generation is dominated by the irreversible component associated to cell overpotential, although evidences of the reversible component are also observed, associated to the heat related to entropy from the electrode reactions. The final charging stages (i.e., 1C-CV) significantly reduce heat generation and cell temperature during charge, resulting in a thermally safe charging protocol. Cell heat capacity was determined from cell specific heats and cell materials thickness. The 1D model adjustment of the experimental data during the 2 min. resting period between discharge and charge allowed us to calculate both the time constant of the relaxation process and the cell thermal resistance. The obtained values of these thermal parameters used in the proposed model are almost equal to those found in the literature for the same cell model, which suggests that the proposed model is suitable for its implementation in thermal management systems.

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Fatigue Life of the Human Teeth: A Continuum Damage Approach

Journal of Biomimetics Biomaterials and Biomedical Engineering ◽

10.4028/www.scientific.net/jbbbe.43.1 ◽

2019 ◽

Vol 43 ◽

pp. 1-19

Author(s):

Theddeus Tochukwu Akano

Keyword(s):

Fatigue Life ◽

Damage Mechanics ◽

Stress Amplitude ◽

Continuum Damage Mechanics ◽

Continuum Damage ◽

Elastoplastic Model ◽

Human Teeth ◽

Proposed Model ◽

Number Of Cycles ◽

Cycles To Failure

Normal oral food ingestion processes such as mastication would not have been possible without the teeth. The human teeth are subjected to many cyclic loadings per day. This, in turn, exerts forces on the teeth just like an engineering material undergoing the same cyclic loading. Over a period, there will be the creation of microcracks on the teeth that might not be visible ab initio. The constant formation of these microcracks weakens the teeth structure and foundation that result in its fracture. Therefore, the need to predict the fatigue life for human teeth is essential. In this paper, a continuum damage mechanics (CDM) based model is employed to evaluate the fatigue life of the human teeth. The material characteristic of the teeth is captured within the framework of the elastoplastic model. By applying the damage evolution equivalence, a mathematical formula is developed that describes the fatigue life in terms of the stress amplitude. Existing experimental data served as a guide as to the completeness of the proposed model. Results as a function of age and tubule orientation are presented. The outcomes produced by the current study have substantial agreement with the experimental results when plotted on the same axes. There is a notable difference in the number of cycles to failure as the tubule orientation increases. It is also revealed that the developed model could forecast for any tubule orientation and be adopted for both young and old teeth.

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