Dyno-in-the-Loop: An Innovative Hardware-in-the-Loop Development and Testing Platform for Emerging Mobility Technologies 2020-01-1057
Today’s transportation is quickly transforming with the advent of shared-mobility, vehicle electrification, connected vehicle technology, and vehicle automation. These technologies will not only affect our safety and mobility, but also our energy consumption, air pollution, and climate change. As a result, it is of unprecedented importance to understand the overall system impacts, as a result of introducing these emerging technologies and concepts. However, existing modeling tools are not able to properly capture the implications of these technologies, not to mention accurately and reliably evaluating their effectiveness with a reasonable scope. For example, it is quite challenging to calibrate state-of-the-art microscopic traffic simulators to properly model the behavior of automated vehicles or to address potential cyber-security issues in a Connected Vehicle (CV) environment. It is even more difficult to scale up the assessment on a larger spatial scale (e.g., statewide, nationwide) or to project these impacts over a longer temporal span. To address these gaps, we have developed a Dyno-in-the-Loop (DiL) development and testing approach which integrates a test vehicle, a chassis dynamometer, and high fidelity traffic simulation tools, in order to achieve a balance between the model accuracy and scalability of environmental analysis of the next generation of transportation systems. This DiL approach is a type of hardware-in-the-loop testing, where the platform is open and flexible enough to fuse other elements, such as communication network simulation environment, portable traffic control devices, wireless communication device, and charging stations. As a case study, we are evaluating the Connected Eco-Operation of a Transit Bus, where the DiL platform integrates a Plug-in Hybrid Electric Bus (PHEB) with a microscopic traffic simulator – PTV VISSIM, and a heavy-duty chassis dynamometer and its controller – PowerDyne PC. With this DiL platform, we have developed and tested the connected eco-operation system which co-optimizes the vehicle dynamics and powertrain control (mainly via smart energy management) to reduce the operational energy consumption as well as tailpipe emissions of the target PHEB. The overall system performance has been evaluated on the DiL platform with respect to a variety of traffic conditions (including various congestion levels and CAV market penetration rates). The efficacy of the DiL approach is quite promising in light of future transportation technologies.
Guoyuan Wu, Dylan Brown, Zhouqiao Zhao, Peng Hao, Michael Todd, Kanok Boriboonsomsin, Matthew Barth, Zhiming Gao, Tim LaClair
University of California Riverside, Oak Ridge National Laboratory