Optimization of Hybrid Electric Drive System Components in Long-Haul Vehicles for the Evaluation of Customer Requirements

被引：0

作者：

Fries, M. ^{[1
]}

Wolff, S. ^{[1
]}

Horlbeck, L. ^{[1
]}

Kerler, M. ^{[1
]}

Lienkamp, M. ^{[1
]}

Burke, A. ^{[2
]}

Fulton, L. ^{[2
]}

机构：

[1] Tech Univ Munich, Inst Automot Technol, Munich, Germany

[2] Univ Calif Davis, Inst Transportat Studies, Davis, CA 95616 USA

来源：

2017 IEEE 12TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND DRIVE SYSTEMS (PEDS) | 2017年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Optimum drivetrain design is the key objective for achieving climate and economy improvements in the long-haul industry. The approach introduced focuses on the optimization of electronic component design. Not only are the longitudinal dynamics and the energy consumption included, but a detailed cost model of the components is also applied. The objective is to identify the most profitable state-of-the-art drive technologies. An evolutionary optimization algorithm combines a generic vehicle model with a cost model to calculate the Pareto optimal solutions for battery systems, electric machines and gearbox design. The results show the potential of Hybrid Electric Vehicles in comparison to diesel trucks. Fuel savings are expressed with the indicator transport efficiency in grams of CO2 per transported ton of payload. The Total Cost of Ownership is calculated in Euros per ton kilometer.

引用

页码：1141 / 1146

页数：6