Analysis on Thermal Runaway Behavior of Prismatic Lithium-Ion Batteries with Autoclave Calorimetry

Abstract A total number of 25 different types of prismatic lithium-ion cells with a capacity between 8 and 145 Ah are examined in an autoclave calorimetry experiment in order to analyze their behavior during thermal runaway (TR). The safety relevant parameters such as mass loss, venting gas production and heat generation during TR are determined in two experiments per cell type and the results are compared to literature. An approximately linear dependency of the three parameters on the cell capacity is observed and hence correlations are derived. Due to the wide range in cell properties the correlations can be used as input for simulations as well as to predict the behavior of future battery cells within the property range of those tested and therefore contribute to the design of a safer battery pack.

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Lithium-Ion Batteries’ Energy Efficiency Prediction Using Physics-Based and State-of-the-Art Artificial Neural Network-Based Models

Journal of Energy Resources Technology ◽

10.1115/1.4047313 ◽

2020 ◽

Vol 142 (10) ◽

Cited By ~ 1

Author(s):

Arash Nazari ◽

Soheil Kavian ◽

Ashkan Nazari

Keyword(s):

Neural Network ◽

Energy Efficiency ◽

Lithium Ion Batteries ◽

Heat Generation ◽

Lithium Iron Phosphate ◽

Safety Concern ◽

Lithium Ion ◽

Effect Of Temperature ◽

Power Sources ◽

Wide Range

Abstract The new generation of lithium-ion batteries (LIBs) possesses considerable energy density that arise the safety concern much more than before. One of the main issues associated with LIB safety is the heat generation and thermal runaway in LIBs. The importance of characterizing the heat generation in LIBs is reflected in numerous studies. The heat generation in LIBs can be related to energy efficiency as well. In this work, the heat generation in LIB is predicted using two different approaches (physics-based and machine learning-based approaches). A validated multiphysics-based and neural network-based models for commercial LIBs with lithium iron phosphate/graphite (LFP/G), lithium manganese oxide/graphite (LMO/G), and lithium cobalt oxide/graphite (LCO/G) electrodes are used to predict the heat generation toward shaping the LIB energy efficiency contours, illustrating the effect of the nominal capacity as a key parameter in the manufacturing process of the LIBs. The developed contours can provide the energy systems designers a comprehensive view over the accurate efficiency of LIBs when they need to incorporate LIBs into their devices. In addition, the effect of temperature on charge/discharge energy efficiency of LFP/graphite LIBs is obtained, and the performance of three typical LIBs in the market at a very low temperature is compared, which have a wide range of applications from consumer applications such as electric vehicles (EVs) to industrial applications such as uninterruptible power sources (UPSes).

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Characterising thermal runaway within lithium-ion cells by inducing and monitoring internal short circuits

Energy & Environmental Science ◽

10.1039/c7ee00385d ◽

2017 ◽

Vol 10 (6) ◽

pp. 1377-1388 ◽

Cited By ~ 76

Author(s):

Donal P. Finegan ◽

Eric Darcy ◽

Matthew Keyser ◽

Bernhard Tjaden ◽

Thomas M. M. Heenan ◽

...

Keyword(s):

Lithium Ion Batteries ◽

Lithium Ion ◽

Thermal Runaway ◽

Lithium Ion Cells ◽

Short Circuits

Internal short circuiting device for lithium-ion batteries.

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A Novel Approach for Predicting Thermal Runaway in Electric Vehicle Batteries When Involved in a Collision

Volume 12: Transportation Systems ◽

10.1115/imece2015-51781 ◽

2015 ◽

Author(s):

Muhammad Sheikh ◽

David Baglee ◽

Michael Knowles ◽

Ahmed Elmarakbi ◽

Mohammad Al-Hariri

Keyword(s):

Lithium Ion Batteries ◽

Electric Vehicle ◽

Heat Generation ◽

Equivalent Circuit Model ◽

Lithium Ion ◽

Thermal Runaway ◽

Electrical Behaviour ◽

Physical Chemical ◽

Novel Approach ◽

Charge Discharge

Electric Vehicle (EV) battery manufactures are under pressure to ensure their products are safe and not prone to undetectable heat after an impact, which could lead to thermal runaway. Constant monitoring of the battery’s behaviour and, in particular, heat generation is therefore important for the safety of the vehicle and the occupant. An aim of this research is to use a series of battery models to study the charge/discharge and thermal behaviour of EV lithium ion batteries under normal and damaged conditions through modelling and physical/electrical testing. An equivalent circuit model is identified and tested to determine the electrical behaviour of the batteries and a 2 degree of freedom (DOF) model is discussed for the plastic deformational behaviour of the battery compartment as the result of an impact. The ultimate goal of this work is to develop a new model integrating physical, chemical, thermal and electrical behaviour to improve safety.

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Experimental and numerical analysis to identify the performance limiting mechanisms in solid-state lithium cells under pulse operating conditions

Physical Chemistry Chemical Physics ◽

10.1039/c9cp03886h ◽

2019 ◽

Vol 21 (41) ◽

pp. 22740-22755 ◽

Cited By ~ 2

Author(s):

Mei-Chin Pang ◽

Yucang Hao ◽

Monica Marinescu ◽

Huizhi Wang ◽

Mu Chen ◽

...

Keyword(s):

Solid State ◽

Numerical Analysis ◽

Energy Density ◽

Lithium Ion Batteries ◽

Lithium Batteries ◽

Safety Concern ◽

Lithium Ion ◽

Thermal Runaway ◽

Operating Conditions ◽

Lithium Cells

Solid-state lithium batteries could reduce the safety concern due to thermal runaway while improving the gravimetric and volumetric energy density beyond the existing practical limits of lithium-ion batteries.

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