4.7 Article

Energy Efficient Platooning of Connected Electrified Vehicles Enabled by a Mixed Hybrid Electric Powertrain Architecture

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2022.3178304

关键词

Mechanical power transmission; Optimization; Schedules; Vehicle dynamics; Fuels; Roads; Batteries; Electrified powertrain; powertrain control; connected electrified powertrain; vehicle dynamics and control

资金

  1. Automotive Research Center (ARC)
  2. U.S. Army Combat Capabilities Development Command (CCDC) Ground Vehicle Systems Center (GVSC) Warren, MI, USA [W56HZV-19-2-0001]

向作者/读者索取更多资源

The platooning of electrified vehicles can improve performance through optimized powertrain control. Existing studies overlook the complexity of powertrain systems. This study optimizes vehicle performance in different terrains, reducing energy consumption and maintaining safe distances.
The platooning of electrified vehicles can improve vehicle performance by enhancing energy efficiency and safety. Nevertheless, studies focusing on control strategies for platoons usually ignore or over-simplify the powertrain in the vehicle dynamics model. Advanced powertrain control strategies for electrified vehicles show that efficient operation of the powertrain depends on the current vehicle status, such as the torque demand, vehicle speed, and battery state of charge. In addition, the operation of individual powertrains can affect platoon-level performance, and the relationship between powertrain operation and vehicle status can be highly nonlinear. In studies of platoons, the evaluation of vehicle performance usually requires the vehicle to converge to a static operating point or to follow a simple operating pattern. Ideal cases can help in the understanding and improvement of vehicle performance but may be less beneficial for applications in realistic cases that are more complex, e.g. in military operations. In this study, a platooning optimization problem is formulated for optimal performance between two locations, given the terrain grade and soil properties along the path. A high-fidelity powertrain model is constructed and embedded in a detailed platoon model. The drive schedule is specifically designed for a platoon of vehicles with an innovative hybrid electric powertrain to achieve minimum total energy consumption. Results show that the approach is able to reduce energy consumption and headway keeping errors.

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