Optimization-oriented adaptive equivalent consumption minimization strategy based on short-term demand power prediction for fuel cell hybrid vehicle

Energy ◽  
2021 ◽  
pp. 120305
Author(s):  
Tao Zeng ◽  
Caizhi Zhang ◽  
Yanyi Zhang ◽  
Chenghao Deng ◽  
Dong Hao ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Cell Hybrid ◽  
Hybrid Vehicle ◽  
Power Prediction ◽  
Short Term ◽  
Equivalent Consumption Minimization Strategy ◽  
Fuel Cell Hybrid Vehicle ◽  
Fuel Cell Hybrid

Development of bi-directional DC/DC converter for fuel cell hybrid vehicle

2019 ◽  
Vol 11 (4) ◽  
pp. 044303
Author(s):  
Hao Liu ◽  
Qingchao Song ◽  
Caizhi Zhang ◽  
Jiawei Chen ◽  
Bo Deng ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Cell Hybrid ◽  
Hybrid Vehicle ◽  
Fuel Cell Hybrid Vehicle ◽  
Fuel Cell Hybrid

Analysis and Control of Fuel Cell Hybrid Vehicle

2006 ◽  
Author(s):  
Sang-Kwon Kim ◽  
Seo-Ho Choi
Keyword(s):  
Fuel Cell ◽  
Cell Hybrid ◽  
Hybrid Vehicle ◽  
Fuel Cell Vehicle ◽  
Vehicle Model ◽  
Hybrid Controller ◽  
Component Sizing ◽  
Fuel Cell Hybrid Vehicle ◽  
And Control ◽  
Fuel Cell Hybrid

In order to increase efficiency of the fuel cell vehicle, it can be hybridized by using batteries or ultra-capacitors. A fuel cell vehicle model is developed and validated by comparing the simulation results with real vehicle operating results from the Hyundai Tucson fuel cell hybrid vehicle. And various types of hybridization structure are compared by simulation and the effect of component sizing is also studied. In the vehicle model, the component and controller models were developed to have modularity and integrated to have forward facing characteristics. Thus, the hybrid controller is designed and optimized by using the simulation. This paper also presents the fuel economy of the developed fuel cell hybrid vehicle when it is operated on the chassis dynamometer.

Dynamic Modeling and Control of a Fuel Cell Hybrid Vehicle with Onboard Fuel Processor

2010 ◽  
Vol 43 (5) ◽  
pp. 565-570
Author(s):  
Lucas Nieto Degliuomini ◽  
Diego Feroldi ◽  
David Zumoffen ◽  
Marta Basualdo
Keyword(s):  
Fuel Cell ◽  
Dynamic Modeling ◽  
Cell Hybrid ◽  
Hybrid Vehicle ◽  
Modeling And Control ◽  
Fuel Processor ◽  
Fuel Cell Hybrid Vehicle ◽  
And Control ◽  
Fuel Cell Hybrid

scholarly journals LQR-Based Power Train Control Method Design for Fuel Cell Hybrid Vehicle

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Yun Haitao ◽  
Zhao Yulan ◽  
Liu Zunnian ◽  
Hao Kui
Keyword(s):  
Fuel Cell ◽  
Cell Hybrid ◽  
Control Method ◽  
Linear Quadratic Regulator ◽  
Hybrid Vehicle ◽  
Feedback Gain ◽  
Linear Quadratic ◽  
Power Train ◽  
Fuel Cell Hybrid Vehicle ◽  
Fuel Cell Hybrid

Based on the mathematical model of fuel cell hybrid vehicle (FCHV) proposed in our previous study, a multistate feedback control strategy of the hybrid power train is designed based on the linear quadratic regulator (LQR) algorithm. A Kalman Filter (KF) observer is introduced to estimate state of charge (SOC) of the battery firstly, and then a linear quadratic regulator is constructed to compute the state feedback gain matrix of the closed-loop control system. At last, simulation and actual test are utilized to demonstrate this new approach.

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