Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications
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In this paper, a model-based fault diagnosis scheme was proposed to detect and isolate the current, voltage and temperature sensor fault, which relies on the sequential residual generation using structural analysis theory and statistical inference residual evaluation.About:
This article is published in Control Engineering Practice.The article was published on 2016-07-01 and is currently open access. It has received 55 citations till now. The article focuses on the topics: Fault detection and isolation & Residual.read more
Citations
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Journal ArticleDOI
Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures
TL;DR: A comprehensive review of the mechanisms, features, and diagnosis of various faults in LIBSs, including internal battery faults, sensor faults, and actuator faults are provided.
Journal ArticleDOI
A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles
TL;DR: A simple and effective model-based sensor fault diagnosis scheme is developed to detect and isolate the fault of a current or voltage sensor for a series-connected lithium-ion battery pack and the experimental and simulation results validate the effectiveness of the proposed sensor fault diagnosed scheme.
Journal ArticleDOI
Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends
TL;DR: A multilayer design architecture for advanced battery management, which consists of three progressive layers, which aims at providing a comprehensive understanding of battery, and the application layer ensures a safe and efficient battery system through sufficient management.
Journal ArticleDOI
Battery Management System Hardware Concepts: An Overview
Markus Lelie,Thomas Braun,Marcus Knips,Hannes Nordmann,Florian Ringbeck,Hendrik Zappen,Dirk Uwe Sauer +6 more
TL;DR: This paper focuses on the hardware aspects of battery management systems (BMS) for electric vehicle and stationary applications, giving an overview on existing concepts in state-of-the-art systems and enabling the reader to estimate what has to be considered when designing a BMS for a given application.
Journal ArticleDOI
An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine
TL;DR: A novel intelligent fault diagnosis method for Lithium-ion batteries based on the support vector machine, which can identify the fault state and degree timely and efficiently and provides the theoretical basis for future fault hierarchical management strategy of the battery system.
References
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Journal ArticleDOI
A review on the key issues for lithium-ion battery management in electric vehicles
TL;DR: In this article, a brief introduction to the composition of the battery management system (BMS) and its key issues such as battery cell voltage measurement, battery states estimation, battery uniformity and equalization, battery fault diagnosis and so on, is given.
Book
Diagnosis and Fault-Tolerant Control
TL;DR: In this paper, model-based analysis and design methods for fault diagnosis and fault-tolerant control are presented, where the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance.
Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation
TL;DR: In this article, extended Kalman filtering (EKF) is used to estimate battery state-of-charge, power fade, capacity fade, and instantaneous available power for hybrid-electric-vehicle battery packs.
Journal ArticleDOI
A review of energy sources and energy management system in electric vehicles
Siang Fui Tie,Chee Wei Tan +1 more
TL;DR: In this article, the state-of-the-art of the energy sources, storage devices, power converters, low-level control energy management strategies and high supervisor control algorithms used in electric vehicles are reviewed.
Journal ArticleDOI
A lumped-parameter electro-thermal model for cylindrical batteries
Xinfan Lin,Hector E. Perez,Shankar Mohan,Jason B. Siegel,Anna G. Stefanopoulou,Yi Ding,Matthew P. Castanier +6 more
TL;DR: In this paper, an electro-thermal model for cylindrical batteries is presented, which consists of two sub-models, an equivalent-circuit electrical model and a two-state thermal model which are coupled through heat generation and temperature dependence of the electrical parameters.
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