Industry and researchers are investigating both battery electric vehicles (BEVs) and
fuel cell hybrid vehicles (FCHV) for the future of sustainable passenger vehicle technology.
While BEVs have clear efficiency advantages, FCHVs have key benefits in terms of
refueling time and energy density.
This thesis first proposes the concept of a fuel cell range extended vehicle (FCREV)
that uses Whole-Day Driving Prediction (WDDP) control, which uses driver destination
inputs to determine whether the planned driving trips that day will exceed the useable
battery energy capacity. If so, the fuel cell is turned on at the start of the day. The benefit
of WDDP control is that a smaller, lower cost fuel cell can be used to greatly extend the
driving range, since the fuel cell can charge the battery during both driving and parked
periods of the day. Furthermore, this research proposes a fast analytical optimization
algorithm for designing a WDDP-FCREV to maximize range on a given drive cycle for a
set cost. The results show an optimized WDDP-FCREV can greatly exceed the range of a
same-cost BEV, by 105% to 150% for no H2 refueling and by 150% to 250% when H2
refueling is allowed every 4 hours. / Thesis / Master of Applied Science (MASc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/27812 |
| Date | 11 1900 |
| Creators | Dong, Jingting |
| Contributors | Bauman, Jennifer, Electrical and Computer Engineering |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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