Energy Management Strategies for Vehicular Electric Power Systems
作者:
所属专业方向:
Energy Management Strategies
摘要:
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.
In the near future, a significant increase in electric ; m3 t; Z% h# O( A( \& ]9 k: e% ^power consumption in vehicles is expected. To limit the associated $ x3 w) W4 ]4 E8 fincrease in fuel consumption and exhaust emissions, smart/ r- K: K: u* P" ~0 J
strategies for the generation, storage/retrieval, distribution, and 4 H, O3 n3 j2 l1 H1 G! S0 Jconsumption of electric power will be used. Inspired by the research( T' L" F4 E, I% L2 }/ U. G. |& F
on energy management for hybrid electric vehicles (HEVs), J. v m7 S4 ?4 k0 l
this paper presents an extensive study on controlling the vehicular % t( {' N& ^0 S' [electric power system to reduce the fuel use and emissions, by $ |* e& f# I, I* fgenerating and storing electrical energy only at the most suitable; @0 \, m! o% I$ u( V4 v
moments. For this purpose, both off-line optimization methods $ b D9 r6 l7 l& e# ?# Z @using knowledge of the driving pattern and on-line implementable/ Q& k7 U+ n2 @5 |, h
ones are developed and tested in a simulation environment. Results 1 ? r+ S) x/ {show a reduction in fuel use of 2%, even without a prediction of the$ f# ~2 x/ O; m5 m) C7 Y
driving cycle being used. Simultaneously, even larger reductions ! h, A3 J' c6 C& ]. n: F: @of the emissions are obtained. The strategies can also be applied to ' Y8 h+ O$ o' s6 E1 z4 g1 Wa mild HEV with an integrated starter alternator (ISA), without * Y1 U* C0 P6 o9 _( B- N- Mmodifications, or to other types of HEVs with slight changes in the ; ?# x! w) z( Z+ `formulation.
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发表于 2011-8-22 19:44:54
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