Multi-objective Optimization Method of Fuel Cell Hybrid Energy System

SONG Dafeng, LEI Zongkun, ZENG Xiaohua, ZHANG Junkai, JI Renhuan, LIU Zhiru

Abstract

In order to solve the limitation of the hydrogen consumption as an economic evaluation index for the fuel cell hybrid bus, an equivalent hydrogen consumption model and a multi-objective optimization function combining quality and life factors were adopted, and the economical key parameters relevant to the whole life cycle were optimized in this paper. The total system cost and energy system mass were reduced by the optimization. The simulation results show that the super capacitor can still fully play the role of “shaving the peak and filling the valley”,the battery cannot output or input large current, the cycle equivalent hydrogen consumption and the average current of the battery remains basically unchanged before and after optimization, the output power of the fuel cell is stable, and the fuel cell voltage decay is only reduced by 2 μV. It should be noted that the degree of decay of the lifespan is little. The optimization method proposed can ensure the life and economic efficiency, the equivalent hydrogen consumption of the cycle conditions is basically the same, and the total cost and total mass of the system are optimized to a greater degree, accelerating the application of fuel cell hybrid energy system in bus.

 

 

Keywords:  fuel cells,  system with three energy,  life cycle,  economics


Full Text:

PDF


References


NIE K, XIE D F, LI W. Modeling and analysis of the carbon emission of new energy vehicle in urban logistics industry [J]. Journal of Hunan University (Natural Sciences), 2015, 42 (9):134—140. ( In Chinese)

GOKCE K, OZDEMIR A. A rule based power split strategy for battery/ultracapacitor energy storage systems in hybrid electric vehicles [J]. International Journal of Electrochemical Science, 2016, 11 (2) :1228—1246.

DAI C, WANG Y P, HE X G. New ranking method for many-objective problems [J]. Journal of Xidian University (Natural Science), 2014, 41 (6) :89—94.(In Chinese)

DOUCETTE R T, MCCULLOCH M D. A comparison of high-speed flywheels, batteries, and ultracapacitors on the bases of cost and fuel economy as the energy storage system in a fuel cell based hybrid electric vehicle [J] . Journal of Power Sources, 2011, 196(3) :1163—1170.

WU W, BUCKNALL R W G. Downsizing fuel cell capacity in a hybrid hydrogen vehicle by regenerative energy capture with super capacitor [ C] //Power Engineering Conference. Noida: IEEE, 2014:1-6

SONG C X, ZHOU F, XIAO F. Energy management optimization of hybrid energy storage system (HESS) based on dynamic programming [J]. Journal of Jilin University (Engineering and Technology Edition), 2017, 47 (1) :8—14.(In Chinese)

HU X, JOHANNESSON L, MURGOVSKI N, et al. Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus [J] . Applied Energy, 2015, 137:913—924.

YE D H, ZHAN M, PAN M. Water flow in and around the MEA of PEM fuel cell [J]. Journal of Hunan University (Natural Sciences), 2016, 43 (12) :50—55. (In Chinese)

IBRAHIM M, STEINER N Y, JEMEI S, et al. Wavelet -based approach for online fuel cell remaining useful lifetime prediction [J]. IEEE Transactions on Industrial Electronics, 2016, 63 (8) :5057— 5068.

ZHANG T, NIU W X, CHEN H C, et al. Application of X-in-theloop scheme to the test of vehicle fuel cell powertrain system [J]. Automotive Engineering, 2018 (1): 107—113. (In Chinese)

ALONSO E, RUIZ J, ASTRUC D. Power management optimization of an experimental fuel cell/battery/supercapacitor hybrid system [J]. Energies, 2015, 8 (7) :6302—6327.

CHEN H C. Analysis of dynamic response affecting the fuel cell lifetime and economic evaluation of the fuel cell [D]. Beijing:Department of Automotive Engineering of Tsinghua University, 2015: 6—1. (In Chinese)


Refbacks

  • There are currently no refbacks.