<p>Due to increasing regulation on
emissions and shifting consumer preferences, the wide adoption of battery
electric vehicles (BEV) hinges on research and development of technologies that
can extend system range. This can be accomplished either by increasing the
battery size or via more efficient operation of the electrical and thermal
systems. This thesis endeavours to accomplish the latter through comparative
investigation of BEV integrated thermal management system (ITMS) performance
across a range of ambient conditions (-20 °C to 40 °C), cabin
setpoints (18 °C to 24 °C), and six different ITMS architectures. A
dynamic ITMS modelling framework for a long-range electric vehicle is
established with comprehensive sub models for the operation of the drive train,
power electronics, battery, vapor compression cycle components, and cabin
conditioning. This modelling framework is used to construct a baseline thermal
management system, as well as for adaptation to four common systems.
Additionally, a novel low-temperature waste heat recovery (LT WHR) system is
proposed and shown to have potential benefits at low ambient temperatures
through the reduction of the necessary cabin ventilation loading. While this
system shows performance improvements, the regular WHR system offers the
greatest benefit for long-range BEV drive cycles in terms of system range and
transient response. With an optimal thermal management system found for long
range BEV’s this system is then used as a boundary condition for a study on
cooling of the battery. Battery conditioning, health, and as a result their
along cell and system lifetime remains an additional concern of consumers as
well as thermal systems engineers seeking to ensure safety and ensure longevity
of EV battery cells. Three typical coolant flow orientations are studied to compare
them under different flow conditions and thermal interface material
performance. The battery cooling model is then coupled to the previously
established dynamic modelling environment to demonstrate the added modelling capability
(and necessity) for incorporating module-level cooling performance in both
battery cooling studies and transient ITMS environments. </p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/13360508 |
| Date | 14 December 2020 |
| Creators | Tyler James Shelly (9755702) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/PARAMETRIC_ANALYSIS_AND_OPTIMIZATION_OF_LONG-RANGE_BATTERY_ELECTRIC_VEHICLE_THERMAL_MANAGEMENT_SYSTEMS/13360508 |
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