Adelman, Derek, authorQuinn, Jason, advisorWindom, Bret, committee memberBradley, Thomas, committee member2021-09-062022-09-032021https://hdl.handle.net/10217/233752Hybrid and electric vehicle technologies provide automotive engineers with the potential to improve vehicle performance and fuel economy through control systems that can utilize optimal energy management strategies (EMS), vehicle-to-everything (V2X), and predictive controls [1] [2] [3] [4] [5] [6]. As described in previous work [7], one such EMS being studied is predictive acceleration events (PAEs), a method that derives optimal energy management for a set of pre-defined AEs and applies said management during AEs to realize real-time energy consumption savings. To further this concept, a hybrid test vehicle platform (TVP) was constructed to test the validity of the EMS strategy, as well as to serve as a test bed for future V2X and prediction technologies being researched at Colorado State University. This thesis covers the design, manufacture, and testing of the TVP as it pertains to the hybrid powertrain, high voltage cooling systems, low voltage control hardware, and controller area network (CAN) communication. Powertrain component design and modeling via finite element analysis (FEA), manufacture and cryogenic assembly, validity of economical identification of low-alloy steels, and heat treatment theory in inert atmospheres and methodology is discussed. Quasi-equilibrium modeling of interconnected cooling loops to predict steady-state operating temperatures is presented along with construction and experimental results during EMS implementation. The sections on low voltage design and integration into the TVP discuss the details of power distribution and consumption of third-party system controllers and high voltage components, accelerator pedal signal modification via frequency modulation and signal conditioning, and off-schedule transmission shifting through modification of the stock vehicle sport mode. Finally, qualitative and quantitative testing of vehicle networking and communication through CAN under electromagnetic interference is presented.born digitalmasters thesesengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.controlshybridpowertrainenergy management strategiescontroller area networkmaterialsText