Building a safer, denser lithium-ion battery

Lahiri, A.; Shah, Nirav; Dales, Cameron

doi:10.1109/mspec.2018.8302385

Cited by 11 publications

(5 citation statements)

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“…The main and fundamental function of a BMS is to measure most of the battery quantities, and in particular, the voltage and temperature of each cell, the battery current and any other useful parameter, and to operate to maintain every cell of the battery inside the SOA. It is well known that exceeding the SOA limits may lead to dangerous and even catastrophic consequences [52]. Therefore, the BMS must be able to limit or even interrupt the battery current when a potentially dangerous situation is detected.…”

Section: Energy Storage System Technologies For Micro-gridsmentioning

confidence: 99%

Hybrid Micro-Grids Exploiting Renewables Sources, Battery Energy Storages, and Bi-Directional Converters

2019

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This paper analyzes trends in renewable-energy-sources (RES), power converters, and control strategies, as well as battery energy storage and the relevant issues in battery charging and monitoring, with reference to a new and improved energy grid. An alternative micro-grid architecture that overcomes the lack of flexibility of the classic energy grid is then described. By mixing DC and AC sources, the hybrid micro-grid proposes an alternative architecture where the use of bi-directional electric vehicle chargers creates a micro-grid that directly interconnects all the partner nodes with bi-directional energy flows. The micro-grid nodes are the main grid, the RES and the energy storage systems, both, on-board the vehicle and inside the micro-grid structure. This model is further sustained by the new products emerging in the market, since new solar inverters are appearing, where a local energy storage for the RES is available. Therefore, the power flow from/towards the RES becomes bi-directional with improved flexibility and efficiency.

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Section: Energy Storage System Technologies For Micro-gridsmentioning

confidence: 99%

Hybrid Micro-Grids Exploiting Renewables Sources, Battery Energy Storages, and Bi-Directional Converters

2019

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“…Because of higher energy density, lighter weight and longer charge and discharge cycle, lithium-ion batteries have already been widely used in transportation, communication and aerospace industry [1]- [4]. However, due to the complex physical and chemical changes in the use process, the performance of the lithium-ion battery will degradation or even failure, which may result in serious safety issues and major economic losses [5]- [7]. Therefore, how to realize the prognostic and health management (PHM) of the lithium-ion battery has become a heat topic and has received tremendous research efforts [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

A Neural-Network-Based Method for RUL Prediction and SOH Monitoring of Lithium-Ion Battery

Liu

et al. 2019

IEEE Access

282

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The prognostic and health management (PHM) of lithium-ion batteries has received increasing attention in recent years. The remaining useful life (RUL) prediction and state of health (SOH) monitoring are two important parts in PHM of the lithium-ion battery. Nowadays, the development of signal processing technology and neural network technology introduces new data-driven methods to RUL prediction and SOH monitoring of the lithium-ion battery. This paper presents a neural-network-based method that combines long short-term memory (LSTM) network with particle swarm optimization and attention mechanism for RUL prediction and SOH monitoring of the lithium-ion battery. Before predicting RUL of the lithium-ion battery, the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is utilized for the raw data denoising, which can improve the accuracy of prediction. A real-life cycle dataset of lithium-ion batteries from NASA is used to evaluate the proposed method, and the experiment results show that when compared with traditional methods, the proposed method has higher accuracy. INDEX TERMS Lithium-ion battery, prognostic and health management (PHM), long short-term memory (LSTM), attention mechanism.

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“…5 Several industry leaders are using 100% Si anodes (no graphite) with nanowire silicon technology promising energy densities as high as 450 Wh kg −1 , 1200 Wh L −1 . [6][7][8] In the last two decades, cycling of 100% Si anodes was identified as the major challenge due to its ∼300% volume change at the particle level with full lithiation/delithiation. 9 This arises from the high molar volume of Li in Si host (9 cm 3 /mol) as compared to Gr host (1.14 cm 3 /mol) combined with large uptake of Li in Si host (up to 4.…”

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confidence: 99%

“…6 in FEC:EMC (1:9 w/w) × ✓ 9.1.8 M LiPF 6 in FEC:EMC (1:9 w/w) × ✓ 10. 1.5 M LiPF 6 in FEC:FEMC (1:9 w/w) × ✓ 11.…”

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confidence: 99%

Significant Improvements to Si Calendar Lifetime Using Rapid Electrolyte Screening via Potentiostatic Holds

Verma,

Schulze,

Colclasure

et al. 2024

J. Electrochem. Soc.

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Silicon-based lithium-ion batteries exhibit severe time-based degradation resulting in poor calendar lives. This has been identified as the major impediment towards commercialization with cycle life considered a solved issue through nanosizing and protective coatings allowing over 1000 cycles of life to be achieved. In this work, rapid screening of sixteen electrolytes for calendar life extension of Si-rich systems (70 wt% Si) is performed using the voltage hold (V-hold) protocol. V-hold significantly shortens the testing duration over the traditional open circuit voltage reference performance test allowing us to screen electrolytes within a span of two months. We find a novel ethylene carbonate (EC) free electrolyte formulation containing lithium hexafluorophosphate (LiPF6) salt, and binary solvent mix of fluoroethylene carbonate, ethyl methyl carbonate that extends calendar life of Si cells as compared to conventional EC based electrolyte. Our coupled experimental-theoretical analysis framework provides a decoupling of the parasitic currents during V-hold, allowing us to extrapolate the capacity loss to predict semiquantitative calendar lifetimes. Subsequently, cycle aging and oxidative stability tests of the EC free system also show enhanced performance over baseline electrolyte.

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Building a safer, denser lithium-ion battery

Cited by 11 publications

References 0 publications

Hybrid Micro-Grids Exploiting Renewables Sources, Battery Energy Storages, and Bi-Directional Converters

Hybrid Micro-Grids Exploiting Renewables Sources, Battery Energy Storages, and Bi-Directional Converters

A Neural-Network-Based Method for RUL Prediction and SOH Monitoring of Lithium-Ion Battery

Significant Improvements to Si Calendar Lifetime Using Rapid Electrolyte Screening via Potentiostatic Holds

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