Monte Carlo Simulation for Optimization of Hybrid Fuel Cell Bus Powertrain Components

被引：0

作者：

Freudiger, D. R. ^{[1
]}

Bigelow, E. N. ^{[2
]}

Yurkovich, B. J. ^{[1
]}

机构：

[1] Ohio State Univ, CAR, Columbus, OH 43212 USA

[2] CTE, Atlanta, GA 30308 USA

来源：

2017 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA 2017) | 2017年

关键词：

SYSTEM; MODEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a Monte Carlo approach for determining optimal component sizing for several different classes of fuel cell transit buses. Real world bus routes were collected and used in simulation for a large set of bus powertrain configurations, and then each case was evaluated using a defined set of pass/fail criterion. Each passing case was further evaluated using a defined set of metrics based on route difficulty and vehicle performance. Using these results, optimal powertrain configurations were determined for the various route profiles. Finally, a set of optimal configurations are proposed for fuel cell transit buses over a range of varying driving vocations.

引用

页码：879 / 885

页数：7

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