Modeling and Control Strategy Development for Fuel Cell Electric Vehicles

Schell, Andreas; Peng, Huei; Tran, Tuan Diep; Stamos, Euthie; Lin, Chih-Yang; Kim, Min-Joong

doi:10.1016/s1474-6670(17)30313-0

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Figure 3 shows the Bloc voltage space vectors for a two-level inverter [Kang et al, 1999]. There are eight switching combinations, two of which correspond to zero voltage space vectors which are (000) and (111) [Schell et al, 2005]. The estimation value of flux and its phase angle is calculated in expression:…”

Section: Principe Of Direct Torque Control (Dtc)mentioning

confidence: 99%

A Novel Electric Vehicle Drive Studies Based on Space Vector Modulation Technique and Direct Torque Control Strategy

Nasri

Gasbaoui

2011

JAEV

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Section: Principe Of Direct Torque Control (Dtc)mentioning

confidence: 99%

A Novel Electric Vehicle Drive Studies Based on Space Vector Modulation Technique and Direct Torque Control Strategy

Nasri

Gasbaoui

2011

JAEV

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“…Model-based systematic development processes are commonly adopted for traditional internal combustion enginepowered vehicles but are rarely explored to their full potential in the development of the FCHV [3,4]. Recently, a fuel cell hybrid electrical vehicle (FCHEV) simulation model has been developed for evaluating potentials of hybridization [5].…”

Section: Introductionmentioning

confidence: 99%

Optimal operation strategy development for fuel cell hybrid vehicle

Xuan

Kim²,

Kim

2011

J Mech Sci Technol

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An overall simulation model for fuel cell hybrid vehicle (FCHV) power train in parallel configuration using MATLAB/Simulink programming is constructed in this study. The model runs on power control strategy by using logic-threshold approach, achieved by the hybrid control unit (HCU) and fuel cell stack number. Using accelerator and decelerator pedal positions deduced from the driving schedule as the primary input, the simulation implements power flow and distribution under different vehicle operating modes. The HCU control strategy also incorporates regenerative braking and recharge for battery capacity recovery. Using the D-optimality method for experiment points selection and sequential quadratic programming (SQP) algorithm for obtaining the optimal operational parameters, three control threshold variables of HCU and optimal stack cell number are selected for hydrogen fuel economy under certain driving cycles. The proposed method provides optimized configurations of the FCHV model and the fuel cell stack, which has the capability in satisfying drive power request while satisfying vehicle driving schedule and battery state of charge (SOC) recovery with lower fuel consumption.

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Infinity-Horizon Cost-Based Controller for Reducing Fuel Cell Degradation and Hydrogen Consumption in Fuel Cell Hybrid Electric Vehicles

Woo,

Ahn

2023

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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Modeling and Control Strategy Development for Fuel Cell Electric Vehicles

Cited by 4 publications

References 3 publications

A Novel Electric Vehicle Drive Studies Based on Space Vector Modulation Technique and Direct Torque Control Strategy

A Novel Electric Vehicle Drive Studies Based on Space Vector Modulation Technique and Direct Torque Control Strategy

Optimal operation strategy development for fuel cell hybrid vehicle

Infinity-Horizon Cost-Based Controller for Reducing Fuel Cell Degradation and Hydrogen Consumption in Fuel Cell Hybrid Electric Vehicles

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