Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks
Journal article, 2022
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 4863-4878Areas of Advance
Transport
Subject Categories
Communication Systems
Signal Processing
Other Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/TVT.2022.3154146