Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective
By Venkatasailanathan Ramadesigan, Paul W. C. Northrop, Sumitava De, Shriram Santhanagopalan, Richard D. Braatz, Venkat R. Subramanian. 2012
701 citations recorded by the source corpus.
The lithium-ion battery is an ideal candidate for a wide variety of applications due to its high energy/power density and operating voltage. Some limitations of existing lithium-ion battery technology include underutilization, stress-induced material damage, capacity fade, and the potential for thermal runaway. This paper reviews efforts in the modeling and simulation of lithium-ion batteries and their use in the design of better batteries. Likely future directions in battery modeling and design including promising research opportunities are outlined.
Subfields: Automotive Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/deaa3eddead1bd079682d161835c47469e279deb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Michael G. Pecht
- Christopher Hendricks
- Nicholas Williard
- Shriram Santhanagopalan
- Wei He
- Martin Agelin-Chaab
- Michael W. Fowler
- L. Jia
In Electrical and Electronic Engineering
- Michael G. Pecht
- Martin Agelin-Chaab
- Michael W. Fowler
- L. Jia
- S. Panchal
- Christopher Hendricks
- Xia Wang
- Zhuqian Zhang
In Safety, Risk, Reliability and Quality
Citations in the corpus
- Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications (2014, background): “Battery models for Li-ion systems are well developed, but many higher accuracy models produce heavy computational loads and require long simulation times that are not suitable for control and implementation into real-time BMSs.”
- A pseudo three-dimensional electrochemical–thermal model of a prismatic LiFePO4 battery during discharge process (2015, methodology): “In addition, most of the studies of the Li-ion battery behavior were based on the LiMnO4 [20e22], and LiCoO2 [17,18] chemistries.”
- Cost modeling of lithium‐ion battery cells for automotive applications (2015, background): “While numerous articles are dealing with the technical effects of thick or thin electrodes [26–36], none are dedicated to the study of the effects on cost.”
- Cycling degradation testing and analysis of a LiFePO4 battery at actual conditions (2017, background): “3 V, (5) a mass of 496 g, (6) an internal resistance of 0.”