Modeling and Optimal Control of Fuel Cell SystemsPublishing time: 2011 Edition Introduction This book closely combines the current research hotspots of proton exchange membrane fuel cells, and analyzes the research status of proton exchange membrane fuel cell system modeling and optimization in detail. And summary. The book is divided into six chapters, and its main contents include introduction, modeling of proton exchange membrane fuel cell systems, simulation of proton exchange membrane fuel cells, control of air supply systems for proton exchange membrane fuel cells, water management of proton exchange membrane fuel cells, and proton exchange membranes. Fuel cell system control. This book can be used by science and technology workers and engineering and technical personnel engaged in the fields of electrical, automation, energy, environmental protection, shipping, and automotive, and it can also be used as a reference for relevant professional teachers and students in colleges and universities.
Chapter 1 Introduction 1.1 Overview 1.2 Fuel Cell Working Principles 1.3 Proton Exchange Membrane Fuel Cell Applications 1.3.1 Fuel Cell Vehicles 1.3.2 Fuel Cell Ships 1.3.3 Fuel Cell Stations 1.3.4 Fuel Cell Communication Standby Power 1.3.5 Mobile Power 1.4 Research on Modeling and Optimal Control of Fuel Cell System Chapter 2 Modeling of Proton Exchange Membrane Fuel Cell System 2.1 Fuel Cell System Structure 2.2 Status of Research on Modeling of Fuel Cell System 2.2.1 Steady-state Model and Dynamic Model 2.2.2 Fuel Cell Subsystem Modeling 2.2.3 Fuel Cell System Model 2.2.4 Several Commercial Software and Models 2.3 Proton Exchange Membrane Fuel Cell Mechanism Model 2.3.1 Fuel Cell Voltage Model 2.3.2 Cathode Channel Model 2.3.3 Anode Channel Model 2.3.4 Fuel cell proton exchange membrane water model 2.3.5 Fuel cell temperature model 2.3.6 Auxiliary equipment model 2.3.7 Summary 2.4 Fuel cell system neural network modeling 2.4.1 Nonlinear dynamic system neural network identification 2.4.2 elman neural Analysis of network algorithms 2.4.3 Identification of fuel cell engine systems based on elman neural network 2.4.4 Simulation and results analysis 2.4.5 Summary Chapter 3 Proton exchange Fuel cell system simulation 3.1 Overview 3.2 Fuel cell system simulation software development 3.2.1 Input interface 3.2.2 Simulink model 3.2.3 Output interface 3.3 Fuel cell dynamic analysis and simulation results 3.4 Summary Chapter 4 Proton exchange membrane fuel cell air supply System control 4.1 Air supply system model 4.2 Pemfc air supply system control status at home and abroad 4.3 Pid control 4.3.1 Pid control algorithm 4.3.2 Control method implementation 4.3.3 Pid control simulation results and analysis 4.4 Pemfc air parameter decoupling design 4.4. 1 Multivariable process control system decoupling theory 4.4.2 Pemfc air parameter decoupling design 4.5 Air flow control strategy research 4.5.1 Control system structure 4.5.2 Air flow fuzzy-pid composite control 4.5.3 Air flow neural pid control 4.5. 4 Comparison and analysis of different control strategies for air flow 4.6 Air pressure control strategy research 4.6.1 Control system structure 4.6.2 Neural pid control based on parameter identification model 4.6.3 Neural pid control based on neural network identification model 4.6.4 Different air pressure Comparison and analysis of model control strategies 4.6.5 Summary 4.7 Air supply based on adaptive neural network System control 4.7.1 State space model 4.7.2 Neural network model 4.7.3 Adaptive neural network controller 4.7.4 Simulation results Chapter 5 Proton exchange membrane fuel cell system water management 5.1 Overview 5.2 Model prediction based on regression neural network optimization Control 5.2.1 Representation of model predictive control 5.2.2 Architecture of model predictive control based on regression neural network optimization 5.2.3 Convergence analysis 5.2.4 Simulation results 5.3 Pemfc water management based on soft measurement of humidity 5.3.1 Fuel cell power Reactor humidity control model 5.3.2 Control system network structure 5.3.3 Fuzzy logic design of control system 5.3.4 Learning algorithm of control system 5.3.5 Simulation results Chapter 6 Proton exchange membrane fuel cell system control 6.1 Overview 6.2 Domestic Current research status 6.2.1 Traditional methods 6.2.2 Predictive control 6.2.3 Fuzzy control 6.2.4 Neural network control 6.2.5 Adaptive control 6.2.6 Robust control 6.3 Proton exchange membrane fuel cell system predictive controller design 6.3.1 Fuel cell engine predictive model 6.3.3 Feedback correction technology based on fuzzy reasoning 6.3.4 Fuel cell engine predictive control simulation and analysis 6.4 Based on neural network pemfc multiple models switching control optimization system optimization control switch 6.4.1 6.4.2 6.4.3 Hybrid Neural Network optimization simulation results 6.4.4 Summary References symbols and subscripts Description