Optimization-based Component Sizing Method for Electrified Heavy-Duty Powertrain Concepts

IOP Conference Series Materials Science and Engineering, vol. 1097, pp. 012002

Abstract

Abstract The demand for battery-powered, exhaust emission-free mobile machinery is increasing. However, the high energy requirements of mobile machines result in large, heavy and expensive battery storage systems. Driven by continuously decreasing but still fairly high battery costs battery costs, the efficiency of the drive system is becoming the focus of development activities, even in an industry where robustness, service lifetime, productivity and power density have been the driving factors up to now. Interactions between topology, component sizing, and control strategy require a system-level approach for the development of drive systems. In this paper, a novel optimization-based sizing method for electrified heavy-duty powertrain concepts is presented and applied to subsystems of a wheeled excavator. Scalable component cost and efficiency models are used in a system simulation to calculate objective function values for a multi-objective optimization. The result of the optimization, a trade-off between energy consumption and costs provides the OEM with a decision support in the development process. The modular structure of the approach allows a subsequent extension of the design parameter space as well as the detailing of the models used.

Authors 5

1. Christian Habermehl
   Affiliation as printed

   IME Aachen GmbH, Aachen

2. Georg Jacobs Aachen Institute for Machine Elements and Systems Engineering

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Institute for Machine Elements and Systems Engineering, Aachen

3. Stephan Neumann Aachen Institute for Machine Elements and Systems Engineering

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Institute for Machine Elements and Systems Engineering, Aachen

4. Björn Juretzki
   Affiliation as printed

   IME Aachen GmbH, Aachen

5. Daniel Bayer corresponding

   Liebherr (Germany)

   Affiliation as printed

   Liebherr Hydraulikbagger GmbH, Kirchdorf an der Iller