The need for the development of online powermanagement strategies applicable to real-time hybrid powertrain systems is an important issue in the transportation sector. A powermanagement strategy alone does not necessarily ensure optimal power distribution amongst the drive train components. Thus optimization of powemanagement is another task which needs to be considered in terms of multiple objectives. Apart from online applicability of powermanagement optimization, a consideration of useful combinations of drivetrain components such as two storage elements together with a primary source may also be useful. In this contribution, an online powermanagement strategy is applied to a three-source hybrid electric powertrain. An optimization of controller parameters with embedded-online optimization is proposed.
- Dynamic Systems and Control Division
Online Powermanagement With Embedded Optimization for a Multi-Source Hybrid With Dynamic Power Sharing Between Components
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Moulik, B, & Söffker, D. "Online Powermanagement With Embedded Optimization for a Multi-Source Hybrid With Dynamic Power Sharing Between Components." Proceedings of the ASME 2015 Dynamic Systems and Control Conference. Volume 3: Multiagent Network Systems; Natural Gas and Heat Exchangers; Path Planning and Motion Control; Powertrain Systems; Rehab Robotics; Robot Manipulators; Rollover Prevention (AVS); Sensors and Actuators; Time Delay Systems; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamics Control; Vibration and Control of Smart Structures/Mech Systems; Vibration Issues in Mechanical Systems. Columbus, Ohio, USA. October 28–30, 2015. V003T41A001. ASME. https://doi.org/10.1115/DSCC2015-9758
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