A novel model-based internal state observer of a fuel cell system for electric vehicles using improved Kalman filter approach

[1]  Pierluigi Pisu,et al.  An Unscented Kalman Filter Based on-line Diagnostic Approach For PEM Fuel Cell Flooding , 2020 .

[2]  Feng Wu,et al.  PMSM speed control method based on Kalman filter and dynamic fuzzy control in electric vehicle , 2019 .

[3]  Qi Li,et al.  Nonlinear controller design based on cascade adaptive sliding mode control for PEM fuel cell air supply systems , 2019, International Journal of Hydrogen Energy.

[4]  Salah Laghrouche,et al.  Fuel cell health prognosis using Unscented Kalman Filter: Postal fuel cell electric vehicles case study , 2019, International Journal of Hydrogen Energy.

[5]  Qi Li,et al.  High-Order Sliding Mode Observer Based OER Control for PEM Fuel Cell Air-Feed System , 2018, IEEE Transactions on Energy Conversion.

[6]  Grigorios L. Kyriakopoulos,et al.  Electricity consumption and RES plants in Greece: Typologies of regional units , 2018, Renewable Energy.

[7]  Michael S. Mazzola,et al.  Passive Tracking of the Electrochemical Impedance of a Hybrid Electric Vehicle Battery and State of Charge Estimation through an Extended and Unscented Kalman Filter , 2018, Batteries.

[8]  A. Jana,et al.  Nonlinear multivariable sliding mode control of a reversible PEM fuel cell integrated system , 2018, Energy Conversion and Management.

[9]  Hao Yuan,et al.  Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus , 2018, IEEE Transactions on Vehicular Technology.

[10]  Tong Zhang,et al.  A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition , 2018 .

[11]  Guobin Zhang,et al.  Multi-phase models for water and thermal management of proton exchange membrane fuel cell: A review , 2018, Journal of Power Sources.

[12]  Dong Li,et al.  An Online State of Charge Estimation Algorithm for Lithium-Ion Batteries Using an Improved Adaptive Cubature Kalman Filter , 2018 .

[13]  Wan Ramli Wan Daud,et al.  PEM fuel cell system control: A review , 2017 .

[14]  Grigorios L. Kyriakopoulos,et al.  Typology of regional units based on RES plants: The case of Greece , 2017 .

[15]  Jianqiu Li,et al.  Nonlinear observation of internal states of fuel cell cathode utilizing a high-order sliding-mode algorithm , 2017 .

[16]  Ming Xin,et al.  Hypersonic entry vehicle state estimation using nonlinearity-based adaptive cubature Kalman filters , 2017 .

[17]  Corneliu Rusu,et al.  Extended Kalman Filter for state-of-charge estimation in electric vehicles battery packs , 2017, 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP).

[18]  Werner Lehnert,et al.  Parameter extraction of polymer electrolyte membrane fuel cell based on quasi-dynamic model and periphery signals , 2017 .

[19]  Elio Usai,et al.  Nonlinear observation in fuel cell systems: a comparison between disturbance estimation and High-Order Sliding-Mode techniques , 2016 .

[20]  M. Andersson,et al.  A review of cell-scale multiphase flow modeling, including water management, in polymer electrolyte fuel cells , 2016 .

[21]  Grigorios L. Kyriakopoulos,et al.  Electrical energy storage systems in electricity generation: Energy policies, innovative technologies, and regulatory regimes , 2016 .

[22]  Joachim Horn,et al.  Modeling, state estimation and nonlinear model predictive control of cathode exhaust gas mass flow for PEM fuel cells , 2016 .

[23]  Xiaozhan Yang,et al.  Robust Model-Based Fault Diagnosis for PEM Fuel Cell Air-Feed System , 2016, IEEE Transactions on Industrial Electronics.

[24]  Belkacem Ould Bouamama,et al.  Extended Kalman Filter for prognostic of Proton Exchange Membrane Fuel Cell , 2016 .

[25]  Cesare Pianese,et al.  Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale , 2016 .

[26]  Benoit Boulet,et al.  Estimation of the State Variables and Unknown Input of a Two-Speed Electric Vehicle Driveline Using Fading-Memory Kalman Filter , 2016, IEEE Transactions on Transportation Electrification.

[27]  Fuad E. Alsaadi,et al.  Nonlinear observer design for PEM fuel cell power systems via second order sliding mode technique , 2015, Neurocomputing.

[28]  V. Aul,et al.  State estimation of exhaust valve position by Kalman Filter in PEM fuel cell systems , 2015, 2015 International Conference on Renewable Energy Research and Applications (ICRERA).

[29]  Maria Pina Serra,et al.  Nonlinear Distributed Parameter Observer Design for Fuel Cell Systems , 2015 .

[30]  Alessandro Pisano,et al.  Observer-Based Air Excess Ratio Control of a PEM Fuel Cell System via High-Order Sliding Mode , 2015, IEEE Transactions on Industrial Electronics.

[31]  Bosung Kim,et al.  The effects of air stoichiometry and air excess ratio on the transient response of a PEMFC under load change conditions , 2015 .

[32]  Eric Bideaux,et al.  Control by state observer of PEMFC anodic purges in dead-end operating mode , 2015 .

[33]  Chen Lv,et al.  Extended-Kalman-filter-based regenerative and friction blended braking control for electric vehicle equipped with axle motor considering damping and elastic properties of electric powertrain , 2014 .

[34]  Maxime Wack,et al.  PEM fuel cell air-feed system observer design for automotive applications: An adaptive numerical differentiation approach , 2014 .

[35]  Christian Fleischer,et al.  Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles , 2014 .

[36]  Huicui Chen,et al.  Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review , 2014 .

[37]  Elio Usai,et al.  Design of finite-time high-order sliding mode state observer: A practical insight to PEM fuel cell system , 2014 .

[38]  Carlos Henggeler Antunes,et al.  DC-link stability control for dual-source electric vehicles using an extended kalman filter , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[39]  Joachim Horn,et al.  State estimation with time delay and state feedback control of cathode exhaust gas mass flow for PEM fuel cell systems , 2013, 2013 European Control Conference (ECC).

[40]  Joachim Horn,et al.  State estimation for PEM fuel cell systems with time delay by an Unscented Kalman filter and predictor strategy , 2013, 21st Mediterranean Conference on Control and Automation.

[41]  Youyi Wang,et al.  RBF network-aided adaptive unscented kalman filter for lithium-ion battery SOC estimation in electric vehicles , 2012, 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[42]  E. Karaman,et al.  Hybrid field orientation and direct torque control for electric vehicle motor drive with an extended Kalman filter , 2012, 2012 IEEE Energytech.

[43]  Xianguo Li,et al.  Measurement of current distribution in a proton exchange membrane fuel cell with various flow arrangements – A parametric study , 2012 .

[44]  Aamer Iqbal Bhatti,et al.  PARAMETER ESTIMATION OF PROTON EXCHANGE MEMBRANE FUEL CELL SYSTEM USING SLIDING MODE OBSERVER , 2012 .

[45]  Michael C. Georgiadis,et al.  Modeling, simulation and experimental validation of a PEM fuel cell system , 2011, Comput. Chem. Eng..

[46]  Vicenç Puig,et al.  LPV observer design for PEM fuel cell system: Application to fault detection , 2011 .

[47]  Liejin Guo,et al.  Simultaneous measurement of current and temperature distributions in a proton exchange membrane fuel cell , 2010 .

[48]  I. H. Kazmi,et al.  A nonlinear observer for PEM fuel cell system , 2009, 2009 IEEE 13th International Multitopic Conference.

[49]  D. Candusso,et al.  A review on polymer electrolyte membrane fuel cell catalyst degradation and starvation issues: Causes, consequences and diagnostic for mitigation , 2009 .

[50]  S. Haykin,et al.  Cubature Kalman Filters , 2009, IEEE Transactions on Automatic Control.

[51]  Haifeng Dai,et al.  Estimation of Internal States of Power Lithium-ion Batteries Used on Electric Vehicles by Dual Extended Kalman Filter , 2009 .

[52]  Miguel Angel Mayosky,et al.  Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm , 2009, IEEE Transactions on Control Systems Technology.

[53]  Daniel Hissel,et al.  A review on PEM voltage degradation associated with water management: Impacts, influent factors and characterization , 2008 .

[54]  P. Pei,et al.  A quick evaluating method for automotive fuel cell lifetime , 2008 .

[55]  Chanin Panjapornpon.  Estimation of Water Content in PEM Fuel Cell , 2008 .

[56]  Eung-Seok Kim,et al.  Nonlinear observer Design for PEM fuel cell systems , 2007, 2007 International Conference on Electrical Machines and Systems (ICEMS).

[57]  T. Schmidt.  Durability and Degradation in High-Temperature Polymer Electrolyte Fuel Cells , 2006 .

[58]  Nick Burke,et al.  Simultaneous Measurements of Species and Current Distributions in a PEFC under Low-Humidity Operation , 2005 .

[59]  Anna G. Stefanopoulou,et al.  Control of Fuel Cell Power Systems: Principles, Modeling, Analysis and Feedback Design , 2004 .

[60]  Gregory L. Plett,et al.  Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 1. Background , 2004 .

[61]  A.G. Stefanopoulou,et al.  Control of fuel cell breathing , 2004, IEEE Control Systems.