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
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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
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Journal ArticleDOI
A logical network approximation to optimal control on a continuous domain and its application to HEV control
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Predictive Control of a Power-Split HEV with Fuel Consumption and SOC Estimation
Lei Feng,Ming Cheng,Bo Chen +2 more
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On-road PHEV power management with hierarchical strategies in vehicular networks
Bingnan Jiang,Yunsi Fei +1 more
TL;DR: An on-road PHEV power management cyber-physical system (CPS) with 2-level hierarchical optimizations to minimize the fuel consumption of a trip is proposed and significantly outperforms other three methods in fuel savings.
Integrated energy and battery life management for hybrid vehicles
TL;DR: A submitted manuscript is the author's version of the article upon submission and before peer-review as discussed by the authors, and the final published version features the final layout of the paper including the volume, issue and page numbers.
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Recasting the HEV energy management problem into an infinite-time optimization problem including stability
TL;DR: The proposed optimal energy management control law is implemented in a pre-transmission parallel hybrid heavy duty truck and its performance is compared to the benchmark solution provided by the Pontryagin's Minimum Principle.
References
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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.