Optimal Sizing of Fuel Cell Hybrid Power Sources with Reliability Consideration

This paper addresses the issue of optimal sizing reliability applied to a fuel cell/battery hybrid system. This specific problem raises the global problem of strong coupling between hardware and control parameters. To tackle this matter, the proposed methodology uses nested optimization loops. Furthermore, to increase the optimal design relevance, a reliability assessment of the optimal sizing set is introduced. This new paradigm enables showing the early impact of the reliability criteria on design choices regarding energetic performance index. It leads to a smart design methodology permitting to avoid complexity and save computing time. It considerably helps design engineers set up the best hybridization rate and enables practicing tradeoffs, including reliability aspects in the early design stages.

[1]  Lin Liu,et al.  Optimal power source sizing of fuel cell hybrid vehicles based on Pontryagin's minimum principle , 2015 .

[2]  Chérif Larouci,et al.  Total Cost of Ownership Improvement of Commercial Electric Vehicles Using Battery Sizing and Intelligent Charge Method , 2018, IEEE Transactions on Industry Applications.

[3]  Gilbert Laporte,et al.  Battery degradation and behaviour for electric vehicles: Review and numerical analyses of several models , 2017 .

[4]  Alessandro Serpi,et al.  Modelling and Design of Real-Time Energy Management Systems for Fuel Cell/Battery Electric Vehicles , 2019, Energies.

[5]  Zhihao Shang,et al.  Multi-Objective Particle Swarm Optimization Algorithm for Multi-Step Electric Load Forecasting , 2020 .

[6]  Warren S. Vaz,et al.  Design of a comfortable optimal driving strategy for electric vehicles using multi-objective optimization , 2015 .

[7]  Samy Faddel,et al.  Bilayer Multi-Objective Optimal Allocation and Sizing of Electric Vehicle Parking Garage , 2018, IEEE Transactions on Industry Applications.

[8]  Noureddine Zerhouni,et al.  Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies , 2019, International Journal of Hydrogen Energy.

[9]  Rachid Yazami,et al.  A study of lithium ion batteries cycle aging by thermodynamics techniques , 2014 .

[10]  Suresh G. Advani,et al.  Optimization of powerplant component size on board a fuel cell/battery hybrid bus for fuel economy and system durability , 2019, International Journal of Hydrogen Energy.

[11]  Zhumu Fu,et al.  A hierarchical energy management strategy for fuel cell/battery/supercapacitor hybrid electric vehicles , 2019, International Journal of Hydrogen Energy.

[12]  Maarten Steinbuch,et al.  Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles , 2017, IEEE Transactions on Vehicular Technology.

[13]  Furong Gao,et al.  A fast estimation algorithm for lithium-ion battery state of health , 2018, Journal of Power Sources.

[14]  D. Sauer,et al.  Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries , 2014 .

[15]  Alexandre Ravey,et al.  A novel equivalent consumption minimization strategy for hybrid electric vehicle powered by fuel cell, battery and supercapacitor , 2018, Journal of Power Sources.

[16]  Jianqiu Li,et al.  Component sizing optimization of plug-in hybrid electric vehicles with the hybrid energy storage system , 2018 .

[17]  Zhiwu Li,et al.  The Optimal Road Grade Design for Minimizing Ground Vehicle Energy Consumption , 2017 .

[18]  Sousso Kelouwani,et al.  Optimal economy-based battery degradation management dynamics for fuel-cell plug-in hybrid electric vehicles , 2015 .

[19]  Sousso Kelouwani,et al.  Long-term assessment of economic plug-in hybrid electric vehicle battery lifetime degradation management through near optimal fuel cell load sharing , 2016 .

[20]  Huei Peng,et al.  Comparative Study of Dynamic Programming and Pontryagin’s Minimum Principle on Energy Management for a Parallel Hybrid Electric Vehicle , 2013 .

[21]  Tabbi Wilberforce,et al.  Numerical modelling and CFD simulation of a polymer electrolyte membrane (PEM) fuel cell flow channel using an open pore cellular foam material. , 2019, The Science of the total environment.

[22]  D. Depernet,et al.  Interconnection and damping assignment passivity based control for fuel cell and battery vehicle: Simulation and experimentation , 2019, International Journal of Hydrogen Energy.

[23]  Massimo Santarelli,et al.  Cycle aging studies of lithium nickel manganese cobalt oxide-based batteries using electrochemical impedance spectroscopy , 2018 .

[24]  Jianqiu Li,et al.  A comparative study of commercial lithium ion battery cycle life in electric vehicle: Capacity loss estimation , 2014 .

[25]  Hongyu Lin,et al.  An Energy Optimal Dispatching Model of an Integrated Energy System Based on Uncertain Bilevel Programming , 2020 .

[26]  Chen Lu,et al.  A review of stochastic battery models and health management , 2017 .

[27]  Teng Long,et al.  A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm , 2020, Energies.

[28]  Andrew W. Thompson Economic implications of lithium ion battery degradation for Vehicle-to-Grid (V2X) services , 2018, Journal of Power Sources.

[29]  Yakup Hameş,et al.  Two new control strategies: For hydrogen fuel saving and extend the life cycle in the hydrogen fuel cell vehicles , 2019, International Journal of Hydrogen Energy.

[30]  Quanbo Ge,et al.  Traffic-Condition-Prediction-Based HMA-FIS Energy-Management Strategy for Fuel-Cell Electric Vehicles , 2019, Energies.

[31]  Alireza Askarzadeh,et al.  Size and power exchange optimization of a grid-connected diesel generator-photovoltaic-fuel cell hybrid energy system considering reliability, cost and renewability , 2019, International Journal of Hydrogen Energy.

[32]  James T. Allison,et al.  Nested and Simultaneous Solution Strategies for General Combined Plant and Control Design Problems , 2018, Journal of Mechanical Design.

[33]  Datong Qin,et al.  Multi-objective optimization design and performance evaluation for plug-in hybrid electric vehicle powertrains , 2017 .

[34]  Chengyi Song,et al.  Temperature effect and thermal impact in lithium-ion batteries: A review , 2018, Progress in Natural Science: Materials International.

[35]  Daniel-Ioan Stroe,et al.  Battery second life: Hype, hope or reality? A critical review of the state of the art , 2018, Renewable and Sustainable Energy Reviews.

[36]  Bin Jiao,et al.  Optimal Energy Management Strategy of a Plug-in Hybrid Electric Vehicle Based on a Particle Swarm Optimization Algorithm , 2015 .

[37]  Joeri Van Mierlo,et al.  Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies , 2020, Renewable and Sustainable Energy Reviews.

[38]  L. Biegler An overview of simultaneous strategies for dynamic optimization , 2007 .

[39]  Shengbo Eben Li,et al.  Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles , 2015 .

[40]  Chen Yang,et al.  Multi-objective optimization of the hybrid wind/solar/fuel cell distributed generation system using Hammersley Sequence Sampling , 2017 .

[41]  Hashim Hizam,et al.  Hybrid energy management with respect to a hydrogen energy system and demand response , 2020 .

[42]  Olivier Bethoux,et al.  > Replace This Line with Your Paper Identification Number (double-click Here to Edit) < 1 , 2001 .

[43]  Hosam K. Fathy,et al.  Battery-Health Conscious Power Management in Plug-In Hybrid Electric Vehicles via Electrochemical Modeling and Stochastic Control , 2013, IEEE Transactions on Control Systems Technology.

[44]  Cher Ming Tan,et al.  Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature , 2015, Scientific Reports.

[45]  Pascal Venet,et al.  Fast Electrical Characterizations of High-Energy Second Life Lithium-Ion Batteries for Embedded and Stationary Applications , 2019, Batteries.