Energy Management Strategies for Parallel Hybrid Vehicles Using Fuzzy Logic

Schouten, Niels J.; Salman, Mutasim; Kheir, Naim A.

doi:10.1016/s1474-6670(17)39125-5

Cited by 37 publications

(54 citation statements)

References 3 publications

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“…Unlike the FLC and DP approaches (Schouten et al 2003;Kheir et al 2004;Hui et al 2009;Lin et al 2003), the ICE torque control function referring to the BSFC map is introduced for CO 2 and NO x emissions reduction. In In contrast to such papers, the proposed approach can take into account the nonlinear torque request curve for practical applications.…”

Section: Torque Control Strategymentioning

confidence: 99%

“…This DOH provides a quantitative measure of where power is flowing in a hybrid. Schouten et al proposed a fuzzy logic controller using the driver power, the battery SOC, and the EM speed for reducing the fuel consumption (Schouten et al 2003). Kheir et al developed a generalized fuzzy logic controller based on Ref.…”

Section: Introductionmentioning

confidence: 99%

“…Kheir et al developed a generalized fuzzy logic controller based on Ref. (Schouten et al 2003), in which 44 rules were introduced (Kheir et al 2004). Unlike Ref.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike Ref. (Schouten et al 2003), this paper aimed to optimize not only the fuel consumption but also NO x emission. The trade-off between fuel consumption and NO x emission was then discussed.…”

Section: Introductionmentioning

confidence: 99%

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Torque control strategy and optimization for fuel consumption and emission reduction in parallel hybrid electric vehicles

Kitayama

Saikyo

Nishio

et al. 2015

Struct Multidisc Optim

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To reduce fuel consumption and exhaust emissions in hybrid electric vehicles (HEVs), it is important to develop a well-organized energy management system (EMS). This paper proposes a torque control strategy coupled with optimization for a parallel HEV. A torque control strategy is developed first. In particular, a function to control the driving condition, called the internal combustion engine (ICE) torque control function, is introduced. This function controls the driving conditions (electric motor (EM) driving, ICE driving, and ICE driving assisted by EM) for reducing fuel consumption and exhaust emissions. This function depends on several design variables that should be optimized. Numerical simulation of HEV using Matlab/Simulink is so computationally intensive that a sequential approximate optimization (SAO) using a radial basis function network (RBF) is adopted to determine the optimal values of these design variables. As the result, the optimal ICE torque control function is determined with a small number of simulation runs. In this paper, CO 2 and NO x emissions are minimized simultaneously for reducing the fuel consumption and exhaust emission. Through numerical simulations using typical driving cycles, the trade-off between CO 2 and NO x emissions is clarified and the validity of the proposed torque control strategy coupled with the proposed optimization is examined.

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Section: Torque Control Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Kheir et al developed a generalized fuzzy logic controller based on Ref. (Schouten et al 2003), in which 44 rules were introduced (Kheir et al 2004). Unlike Ref.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Torque control strategy and optimization for fuel consumption and emission reduction in parallel hybrid electric vehicles

Kitayama

Saikyo

Nishio

et al. 2015

Struct Multidisc Optim

View full text Add to dashboard Cite

show abstract

“…Many researches about the application of fuzzy logic in HEVs are conducted like the Oakland University [4,5] , Korea Seal University [6,7] , and the Ohio State University [8] , Shanghai Jiaotong University [9,10] . These researches are actually the extension of the rulebased [11] control strategy which underlines the control rules to run the engine in its optimal range.…”

Section: Introductionmentioning

confidence: 99%

Torque distribution strategy for integrated starter/ generator hybrid bus implemented by fuzzy algorithm

Zhong

Wang

et al. 2008

J. Shanghai Jiaotong Univ. (Sci.)

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A torque distribution strategy was designed by using fuzzy logic to realize the optimal control. The vehicle load zones were dynamically divided into several zones by several torque lines to indicate the drivers demand and the high or low efficient operating areas of the diesel engine. The fuzzy logic controller with trapezoid membership function and Mamdani rule reference mechanism was utilized. There are over 100 rules used in this fuzzy-based torque distribution strategy which are sorted into four rule-bases. The fuel economy and acceleration tests were designed to test and validate the integrated starter/generator (ISG) bus performance using fuzzy-based torque distribution strategy. The fuel economy is improved 7.7% compared with the rule-based strategy. Finally the road test results reveal that there is about 15% improvement of fuel economy. And the 0-50 km/h acceleration time is 9.5% shorter than the original bus.

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Energy management of a hybrid photovoltaic system

Salah

Ouali

2010

Int. J. Energy Res.

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SUMMARYThis work describes a new control strategy for active energy flow in a hybrid photovoltaic (PV) system. The method introduces an online energy management by a hierarchical fuzzy controller between energy sources that consist of a photovoltaic panel (PVP), the battery and the load. The fuzzy logic controller has been developed for power splitting between PVP and battery, and it makes decision to choose the switching chain rules and corresponding controller. Simulation test results illustrate improvement in the operation's efficiency of online state of the switches and the battery's state of charge (SOC) has been maintained at a reasonable level.

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Energy Management Strategies for Parallel Hybrid Vehicles Using Fuzzy Logic

Cited by 37 publications

References 3 publications

Torque control strategy and optimization for fuel consumption and emission reduction in parallel hybrid electric vehicles

Torque control strategy and optimization for fuel consumption and emission reduction in parallel hybrid electric vehicles

Torque distribution strategy for integrated starter/ generator hybrid bus implemented by fuzzy algorithm

Energy management of a hybrid photovoltaic system

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