Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks
Journal article, 2022

This paper proposes a cost-effective way to design and operate fuel cell hybrid electric trucks (FCHETs) where a chance-constrained optimization is formulated. The aim of the introduced problem is to minimize a summation of component cost and operational cost with consideration of fuel cell (FC)
degradation and cycle life of energy buffer. We propose to decompose the problem into two sub-problems that are solved by sequential convex programming. The delivered power satisfies a cumulative distribution function of the wheel power demand, while the truck can still traverse driving cycles with a similar speed and travel time without delivering unnecessarily high power. This allows to downsize powertrain components, including
electric machine, FC and energy buffer. A case study considering different energy buffer technologies, including supercapacitor (SC), lithium-ion battery (LiB), and lithium-ion capacitor (LiC) is investigated in a set of trucking applications, i.e. urban delivery, regional delivery, construction, and long-haul. Results show that the power rating of the electric machine is drastically reduced when the delivered power is satisfied in a probabilistic sense. Moreover, the configuration with LiB as the energy buffer has the lowest expense but the truck with LiC can carry more payload.

energy buffer

sequential convex programming.

chance-constrained

wheel power demand

Fuel cell hybrid electric trucks (FCHETs)

Author

Qian Xun

Chalmers, Electrical Engineering, Electric Power Engineering

Nikolce Murgovski

Chalmers, Electrical Engineering, Systems and control

Yujing Liu

Chalmers, Electrical Engineering, Electric Power Engineering

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN) 1939-9359 (eISSN)

Vol. 71 5 4863-4878

Areas of Advance

Transport

Subject Categories

Communication Systems

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TVT.2022.3154146

More information

Latest update

3/7/2024 9