Special Issue "Power Management for Hybrids and Vehicle Drivetrains"
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (1 May 2016).
Interests: Control of energy flows – hybrid powertrains and wind turbine control; Diagnostics and prognostics of technical systems; Modeling, diagnosis, and control of elastic mechanical structures; Control theory: robust observers and nonlinear control; Cognitive technical systems: automata and assistance.
Special Issues and Collections in MDPI journals
The hybridization of vehicle drive trains helps to overcome several conflicting requirements in the field of individual mobility. Overall fuel efficiency, exhaust behavior, drivability aspects, as well as design conflicts of the primary energy source will be strongly effected, introducing further energy storages between the primary source (ICE, FC, etc.) and the unknown highly dynamic power requirements realizing vehicle motion. Beside the characteristic properties of the hard components (motor, generator, fuel cell, storages, etc.), the soft components of drive trains, to control the energy flow in all directions based on measured, estimated, or assumed variables, are of importance. The focus of this Special Issue should be only on the soft components here denoted as power management. Power management includes controls, look-up-tables, adaption and learning strategies, sensor fusion, estimation and filtering approaches, optimization techniques, and is designed and applied to various drive train topologies and constellations. Common scientific tasks should be addressed in the Special Issue, addressing mechanical and electrical engineering aspects, as well as information science-oriented approaches.
To perfect the Special Issue “Power Management for Hybrids and Vehicle Drivetrains”, contributions should be clearly focused on the addressed research areas. Contributions should not be focused on hardware sizing aspects, pure numerical simulations studies, electronic circuits and related realizations, application reports, battery charging strategies, and should not only repeat known results (from previous works or the work of others). Prospective authors should provide original work with significant and novel contributions, providing new facts, ideas, insights, and results.
Prof. Dr. Dirk Söffker
Manuscript Submission Information
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- Power management strategies for hybrid vehicles
- Power management strategies for vehicle drivetrains including motor management
- Optimization of power management (online or offline), combined approaches
- Optimization of architectures, algorithms, parameters
- Optimization strategies related to power management design conflicts (fuel efficiency, drivability, aging, exhaust emission characteristics, etc.)
- Aspects of integration of sources and storages with complex dynamical behavior on different scales
- Consideration of individual driver/driving behavior
- Drive cycles vs. real driving
- Theory and practice/validation aspects of power management strategies
- Adaptive, iterative, or learning behavior of power management considering variable conditions
- Relations between standards, rules, or further requirements and realization of power management