Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles

• Main Authors: Ricardo Barrero, Noshin Omar, Omar Hegazy, Dai-Duong Tran, Joeri Van Mierlo, Olof Lindgaarde, Jonas Hellgren, Tenil Cletus, Thinh Pham, Gillis Hommen, Steven Wilkins, Giorgio Zurlo
• Format: Conference Object
• Language: unknown
• Published: Zenodo 2018
• Subjects: Heavy Duty Vehicles; Hybrid Technology; Design Optimization; Modeling and Simulation; Hybrid Energy Storage System; Orca
• Online Access: https://doi.org/10.5281/zenodo.1487639

This article presents the approach used for the design optimization of heavy vehicles such as urban buses and delivery trucks as a part or the ORCA European Project. A methodology to find the optimal combination of hardware components and energy management strategy is presented and the use cases where it will be applied are described. To achieve the optimal results, the vehicles need to be modeled with an appropriated methodology that allows for both performance evaluation and energy consumption assessment in short times. To achieve both objectives, the “forward” vehicle modeling, together with static or “low fidelity” models is proposed. Several simulation examples in both electric and conventional mode are given. These models will be used to assess several potential vehicles design, assess their performance, consumption and eventually estimate the total cost of ownership.