The use of electrochemical energy storage systems in automotive applications also involves new requirements for modeling these systems, especially in terms of model depth and model quality. Currently, mainly simple application-oriented models are used to describe the physical behavior of batteries. This book provides a step beyond of state-of-the-art modeling showing various different approaches covering following aspects: system safety, misuse behavior (crash, thermal runaway), battery state estimation and electrochemical modeling with the needed analysis (pre/post mortem). All this different approaches are developed to support the overall integration process from a multidisciplinary point-of-view and depict their further enhancements to this process.
Author(s): Helmut Martin, Andrea Leitner, Bernhard Winkler (auth.), Alexander Thaler, Daniel Watzenig (eds.)
Series: SpringerBriefs in Applied Sciences and Technology : Automotive Engineering : Simulation and Validation Methods
Edition: 1
Publisher: Springer International Publishing
Year: 2014
Language: English
Pages: 129
Tags: Automotive Engineering; Energy Storage; Electrochemistry
Front Matter....Pages i-xiv
Holistic Safety Considerations for Automotive Battery Systems....Pages 1-17
Battery Modelling for Crash Safety Simulation....Pages 19-35
Thermal Runaway: Causes and Consequences on Cell Level....Pages 37-51
Application-Related Battery Modelling: From Empirical to Mechanistic Approaches....Pages 53-69
Analytical Methods for Investigation of Lithium-Ion Battery Ageing....Pages 71-87
Bayesian Inference for Lithium-Ion Cell Parameter Estimation....Pages 89-109
Data-Driven Methodologies for Battery State-of-Charge Observer Design....Pages 111-125
Erratum to: Application-Related Battery Modelling: From Empirical to Mechanistic Approaches....Pages E1-E1
Back Matter....Pages 127-129
