Energy management strategies for vehicular electric power systems
Mwt Michiel Koot,J.T.B.A. Kessels,B. de Jager,Wpmh Maurice Heemels,P.P.J. van den Bosch,M Maarten Steinbuch +5 more
Reads0
Chats0
TLDR
An extensive study on controlling the vehicular electric power system to reduce the fuel use and emissions, by generating and storing electrical energy only at the most suitable moments is presented.Abstract:
In the near future, a significant increase in electric power consumption in vehicles is expected. To limit the associated increase in fuel consumption and exhaust emissions, smart strategies for the generation, storage/retrieval, distribution, and consumption of electric power will be used. Inspired by the research on energy management for hybrid electric vehicles (HEVs), this paper presents an extensive study on controlling the vehicular electric power system to reduce the fuel use and emissions, by generating and storing electrical energy only at the most suitable moments. For this purpose, both off-line optimization methods using knowledge of the driving pattern and on-line implementable ones are developed and tested in a simulation environment. Results show a reduction in fuel use of 2%, even without a prediction of the driving cycle being used. Simultaneously, even larger reductions of the emissions are obtained. The strategies can also be applied to a mild HEV with an integrated starter alternator (ISA), without modifications, or to other types of HEVs with slight changes in the formulation.read more
Citations
More filters
Posted Content
Optimal energy management for hybrid electric aircraft
TL;DR: It is shown that an optimisation-based control strategy can provide significant fuel savings over heuristic energy management strategies in this context and be used to define a predictive energy management control law.
Journal ArticleDOI
Hybrid Control of Container Cranes
TL;DR: In this paper, the authors proposed an optimization-based strategy of limited complexity that assigns a weight to the usage of the ultracapacitors that represents the equivalent fuel cost.
Proceedings ArticleDOI
Game-Theoretic Approach for Complete Vehicle Energy Management
TL;DR: In this article, a game-theoretic approach and the calculation of an online implementable strategy for solving the complete vehicle energy management (CVEM) problem, which aims at minimizing the global fuel consumption of a hybrid heavy-duty truck including all its auxiliary systems.
Optimal Adaptive Solution toPowersplit Problem inVehicles withIntegrated Starter/Generator
TL;DR: In this paper, an integrated starter/strategies for hybrid electric vehicles with a conventional drive train is presented. But, the implementation of an Integrated Starter/Strategies without the need for pre-prediction information is discussed.
Proceedings ArticleDOI
Optimal power management for electric tugboats with unknown load demand
TL;DR: An optimal power management scheme for electric tugboats that optimally splits the power supply from engines and batteries in response to the load demand, while minimizing the engine fuel consumption and maintaining the battery life is presented.
References
More filters
Book
Dynamic Programming and Optimal Control
TL;DR: The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization.
Book
Practical Methods of Optimization
TL;DR: The aim of this book is to provide a Discussion of Constrained Optimization and its Applications to Linear Programming and Other Optimization Problems.
Book
Predictive Control With Constraints
TL;DR: A standard formulation of Predictive Control is presented, with examples of step response and transfer function formulations, and a case study of robust predictive control in the context of MATLAB.