Optimal component sizing of fuel cell-battery excavator based on workload

2018 ◽  
Vol 5 (1) ◽  
pp. 103-110 ◽  
Author(s):  
Hyeon-Seop Yi ◽  
Jin-Beom Jeong ◽  
Suk-Won Cha ◽  
Chun-Hua Zheng
Keyword(s):  
Fuel Cell ◽  
Component Sizing

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.

Optimal design methodology for sizing a fuel cell/battery hybrid power source

2020 ◽  
pp. 095765092091034 ◽  
Author(s):  
Adriano Ceschia ◽  
Toufik Azib ◽  
Olivier Bethoux ◽  
Francisco Alves
Keyword(s):  
Fuel Cell ◽  
Optimal Design ◽  
Design Methodology ◽  
Optimization Problems ◽  
Optimization Technique ◽  
Power Source ◽  
Operating Conditions ◽  
Hybrid Power ◽  
Component Sizing ◽  
Hybrid Power Source

This paper presents an optimal design methodology enabling to exhibit the best parameters of a complex energy system combing several components and their related control parts. It is based on a particle swarm optimization technique for component sizing, combined with optimal control to consider energy management constraints. This approximate resolution is valuable since it allows to achieve a robust and effective optimal design using low computational resources: it enables to tackle large search spaces in engineering time constraints. The selected use case is a fuel cell/battery hybrid power source based on a power-split parallel architecture. Its performance index is defined as the fuel consumption. Regarding this objective, the drivetrain components size and the control parameters values are both strongly coupled and physically constrained. In this context, the methodology makes a tradeoff between component sizing and energy saving. Simulation results show the relevance and robustness of this approach regarding different driving cycles and operating conditions. It validates the replicability of this method to other optimization problems in the field of energy optimization. A comprehensive review of the simulation tests highlights the present limits of this optimization and provides new perspectives for future works.

scholarly journals Driving an Industry: Medium and Heavy Duty Fuel Cell Electric Truck Component Sizing

2016 ◽  
Vol 8 (1) ◽  
pp. 78-89 ◽  
Author(s):  
J. Marcinkoski ◽  
R. Vijayagopal ◽  
J. Kast ◽  
A. Duran
Keyword(s):  
Fuel Cell ◽  
Heavy Duty ◽  
Component Sizing

scholarly journals Optimal Sizing of Storage Elements for a Vehicle Based on Fuel Cells, Supercapacitors, and Batteries

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 925 ◽  
Author(s):  
José Sampietro ◽  
Vicenç Puig ◽  
Ramon Costa-Castelló
Keyword(s):  
Fuel Cell ◽  
Storage System ◽  
High Energy ◽  
Driving Cycle ◽  
Urban Transport ◽  
High Energy Density ◽  
Energy Management System ◽  
System Optimum ◽  
Component Sizing ◽  
Rapid Changes

To achieve a vehicle-efficient energy management system, an architecture composed of a PEM fuel cell as the main energy source and a hybrid storage system based on battery banks and supercapacitors is proposed. This paper introduces a methodology for the optimal component sizing aiming at minimizing the total cost, achieving a cheaper system that can achieve the requirements of the speed profiles. The chosen vehicle is an urban transport bus, which must meet the Buenos Aires Driving Cycle, and the Manhattan Driving Cycle. The combination of batteries and supercapacitors allows a better response to the vehicle’s power demand, since it combines the high energy density of the batteries with the high power density of the supercapacitors, allowing the best absorption of energy coming from braking. In this way, we address the rapid changes in power without reducing the global efficiency of the system. Optimum use of storage systems and fuel cell is analyzed through dynamic programming.

scholarly journals Optimization of Component Sizing for a Fuel Cell-Powered Truck to Minimize Ownership Cost

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1125 ◽  
Author(s):  
Kyuhyun Sim ◽  
Ram Vijayagopal ◽  
Namdoo Kim ◽  
Aymeric Rousseau
Keyword(s):  
Fuel Cell ◽  
Vehicle Class ◽  
Conventional Vehicle ◽  
Component Sizing ◽  
Initial Cost ◽  
Cargo Capacity ◽  
And Performance ◽  
The Right ◽  
Power And Energy ◽  
Conventional Medium

In this study, we consider fuel cell-powered electric trucks (FCETs) as an alternative to conventional medium- and heavy-duty vehicles. FCETs use a battery combined with onboard hydrogen storage for energy storage. The additional battery provides regenerative braking and better fuel economy, but it will also increase the initial cost of the vehicle. Heavier reliance on stored hydrogen might be cheaper initially, but operational costs will be higher because hydrogen is more expensive than electricity. Achieving the right tradeoff between these power and energy choices is necessary to reduce the ownership cost of the vehicle. This paper develops an optimum component sizing algorithm for FCETs. The truck vehicle model was developed in Autonomie, a platform for modelling vehicle energy consumption and performance. The algorithm optimizes component sizes to minimize overall ownership cost, while ensuring that the FCET matches or exceeds the performance and cargo capacity of a conventional vehicle. Class 4 delivery truck and class 8 linehaul trucks are shown as examples. We estimate the ownership cost for various hydrogen costs, powertrain components, ownership periods, and annual vehicle miles travelled.

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