Simulation of an unified control scheme for different Hybrid Electric Vehicles

Chen, Keyu; Bouscayrol, Alain; Delarue, Philippe; Berthon, A.

doi:10.1109/iecon.2009.5415119

Cited by 8 publications

(8 citation statements)

References 19 publications

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“…From this EMR, a unified control scheme has been deduced [9]. By setting different parameter values for certain parameters, the same control part can be used to control some HEVs.…”

Section: Transmissionmentioning

confidence: 99%

“…The common EMR offers a better understanding of the main power flows of different HEVs. From this common EMR, a unified control scheme has been deduced [9], which can be used for the study of series, parallel, and series-parallel HEVs, just by setting different parameter values. Using this top-down approach, the modeling and control design of different HEVs have been achieved in a general way.…”

Section: Introcutctionmentioning

confidence: 99%

“…For example, setting k T =1, k R =0.7222; k S =0.27780 and using other component parameters of Toyota Prius II, this common simulation program can be used in the simulation of the Toyota Prius II. Setting different values for k T , k R and k S , the same simulation program has been applied to other HEVs [7][9].…”

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confidence: 99%

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A common model validation in the case of the Toyota Prius II

Chen

Trigui²,

Bouscayrol

et al. 2010

2010 IEEE Vehicle Power and Propulsion Conference

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Using different approaches, modeling for different HEVs has been studied. Generally, considering the different combinations of components, each architecture has its own modeling. The modeling and control design of different HEVs could be achieved in a general way, despite the fact that HEVs can be very different from each other in terms of structure. If the modeling and control design of different HEVs is obtained using a general approach, the time required for control design can be reduced. A common simulation program has been established for different HEVs. By setting different values for certain parameters, this single simulation program can be used for series-parallel, series, and parallel HEVs. The objective of this paper is to validate this common model in the case of the Toyota Prius II. The simulation validation is conducted by comparing it with VEHLIB (Hybrid Electric Vehicle Library), a simulation software program, which has already been validated by a real Toyota Prius II.

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“…From this EMR, a unified control scheme has been deduced [9]. By setting different parameter values for certain parameters, the same control part can be used to control some HEVs.…”

Section: Transmissionmentioning

confidence: 99%

Section: Introcutctionmentioning

confidence: 99%

See 1 more Smart Citation

A common model validation in the case of the Toyota Prius II

Chen

Trigui²,

Bouscayrol

et al. 2010

2010 IEEE Vehicle Power and Propulsion Conference

Self Cite

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“…EMR is an energy-based graphical description that gives insights into the real energy operation of the system and allows a deep understanding of its potentialities from a dynamic point of view [26,27]. EMR is used in the global modeling and strategy simulation for the EVT based HEV system; and a control scheme is deduced from the EMR models using specific inversion rules.…”

Section: Emr Simulation Model and Integration Of The Pm-evt-hev Systemmentioning

confidence: 99%

A Fuzzy Logic Global Power Management Strategy for Hybrid Electric Vehicles Based on a Permanent Magnet Electric Variable Transmission

Ahmed

Cui

2012

Energies

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Abstract:The major contribution of this paper is to propose a Fuzzy Logic Global Power Management Strategy for Hybrid Electric Vehicles (HEVs) that are driven by the PM-EVT (PM machine-Electric Variable Transmission) powertrain, such that the PM-EVT will have superior advantages over other types of powertrains, including the current Toyota Prius powertrain for series-parallel HEVs. This has been investigated throughout three aspects. The first is the optimum power splitting between the Internal Combustion Engine (ICE) and the PM-EVT. The second is maximizing the vehicle's energy capture during the braking process. Finally, sustaining the State of Charge (SOC) of the battery is adopted by a robust ON/OFF controller of the ICE. These goals have been accomplished by developing three fuzzy logic (FL) controllers. The FL controllers are designed based on the state of charge of the battery, vehicle's velocity, traction torque, and the vehicle's requested power. The integration of the studied system is accomplished via the Energetic Macroscopic Representation (EMR) simulation model strategy based on the software Matlab/Simulink. The PM-EVT based HEV system with the proposed power management strategy is validated by comparing to the Toyota Prius HEV. The vehicle's performances have been analyzed throughout a combined long-trip driving cycle that represents the normal and the worst operating conditions. The simulation results show that global control system is effective to control the engine's operating points within the highest efficiency region, exploiting of EVT machines for capturing maximum braking energy, as well as to sustain the SOC of the battery while satisfy the drive ability. The proposed control strategy OPEN ACCESSEnergies 2012, 5 1176 for the studied HEVs sounds interesting and feasible as supported by a large amount of simulation results.

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“…The Energetic Macroscopic Representation (EMR) has been introduced as a graphical descriptor approach offering a macroscopic energetic view of multiphysics system [16]- [18]. EMR offers an inversion-based control contributing to the controller design and the implementation of energy management strategies.…”

Section: Introductionmentioning

confidence: 99%

Energetic Macroscopic Representation of an Electrically Heated Building with Electric Thermal Storage and Heating Control for Peak Shaving

Guzmán¹,

Agbossou²,

Cardenas³

2015

EPE

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As a part of the Smart Grid concept, an efficient energy management at the residential level has received increasing attention in lately research. Its main focus is to balance the energy consumption in the residential environment in order to avoid the undesirable peaks faced by the electricity supplier. This challenge can be achieved by means of a home energy management system (HEMS). The HEMS may consider local renewable energy production and energy storage, as well as local control of some particular loads when peaks mitigation is necessary. This paper presents the modeling and comparison of two residential systems; one using conventional electric baseboard heating and the other one supported by Electric Thermal Storage (ETS); the ETS is employed to optimize the local energy utilization pursuing the peak shaving of residential consumption profile. Simulations of the proposed architecture using the Energetic Macroscopic Representation (EMR) demonstrate the potential of ETS technologies in future HEMS.

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Simulation of an unified control scheme for different Hybrid Electric Vehicles

Cited by 8 publications

References 19 publications

A common model validation in the case of the Toyota Prius II

A common model validation in the case of the Toyota Prius II

A Fuzzy Logic Global Power Management Strategy for Hybrid Electric Vehicles Based on a Permanent Magnet Electric Variable Transmission

Energetic Macroscopic Representation of an Electrically Heated Building with Electric Thermal Storage and Heating Control for Peak Shaving

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