2020
DOI: 10.1109/access.2020.2978258
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Robust Integral Backstepping Control for Unified Model of Hybrid Electric Vehicles

Abstract: Exponential decrease in oil and natural gas resources, increasing global warming issues and insufficiency of fossil fuels has shifted the focus to fuel cell hybrid electric vehicles (FHEVs). FHEV model used in this work consists of fuel cell, ultracapacitor and battery. Non-linearities present in the vehicle model dominate because of extreme driving conditions like rough terrains, slippery roads or hilly areas. Behavior of components like energy sources, induction motors and power processing blocks deviate sig… Show more

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Cited by 20 publications
(9 citation statements)
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References 43 publications
(58 reference statements)
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“…However, they often do not operate effectively at variable speeds; also, complex mathematical models and nonlinear behavior create difficulties in variable speed operations. 7,22,23 The particle swarm optimization (PSO) algorithm of the PID controller was introduced to interleave the buckboost power converter (BBPC). However, the peak overshoot was not minimized by the PSO algorithm.…”
Section: Motivation and Research Gapmentioning
confidence: 99%
See 1 more Smart Citation
“…However, they often do not operate effectively at variable speeds; also, complex mathematical models and nonlinear behavior create difficulties in variable speed operations. 7,22,23 The particle swarm optimization (PSO) algorithm of the PID controller was introduced to interleave the buckboost power converter (BBPC). However, the peak overshoot was not minimized by the PSO algorithm.…”
Section: Motivation and Research Gapmentioning
confidence: 99%
“…Most of the research work has more attention in the design of fuzzy logic controllers (FLCs) because of its robustness, flexibility, computational elements, control blocks, and discrete control‐driven systems. However, they often do not operate effectively at variable speeds; also, complex mathematical models and nonlinear behavior create difficulties in variable speed operations 7,22,23 . The particle swarm optimization (PSO) algorithm of the PID controller was introduced to interleave the buck‐boost power converter (BBPC).…”
Section: Introductionmentioning
confidence: 99%
“…For the vehicle dynamics, the required wheel traction force can be calculated from the force balance equation, which is given by, 𝑚𝑎 = 𝐹 𝑡 + 𝐹 𝑔 + 𝐹 𝑟 + 𝐹 𝐷 (1) where 𝑚 is the mass of the vehicle, 𝑎 is the acceleration of the vehicle, 𝐹 𝑡 is the traction force, 𝐹 𝑔 is the gravitational force, 𝐹 𝑟 is the rolling resistance, and 𝐹 𝐷 is the aerodynamic drag. The traction force, gravitation force, rolling resistance, and aerodynamic drag can be expressed as,…”
Section: A System Modelingmentioning
confidence: 99%
“…There have been various research topics related to hybrid vehicle systems. The research topics of the recent studies include diverse research areas such as driving and regenerative control strategy of HEVs [1]- [3], optimal design of component sizing and electrical energy storage [4], [5], driving energy management strategy for HEV [6], a design methodology for compound-split hybrid electric vehicles with the compound lever diagram [7], comparative analysis of classical energy management optimization with reinforcement learning [8], a parametric model for power split hybrid transmissions [9], and thermal management and analysis of electrified drive systems and hydraulic hybrids [10]- [13]. For the research on architectures of hybrid systems, there have existed a number of studies for past decades since the 1970s and diverse recent studies like a multimode power split hybrid transmission [14], hybrid powertrain architectures for a fourwheel drive [15], series-parallel and power split architecture based dedicated hybrid transmissions (DHTs) [16], powertrain configuration of single motor hybrid systems [17], and novel powertrain architectures with Ravigneaux and planetary gear trains [18].…”
Section: Introductionmentioning
confidence: 99%
“…The applications such as electric vehicles (EVs), portable electronics, and for frequency regulation, etc. highly demand the batteries with low cost, high power density, light weight, high safety, long life and environmentally friendly in nature [12,[49][50][51][52][53]. The electrochemical energy storage batteries include sodium sulfur (Na-S), sodium-ion (Na-ion), K-ion), Zn-ion, Zn-air, lithium-ion (Li-ion), lithium air (Li-air), redox flow, aqueous rechargeable and thin-film batteries.…”
Section: Batterymentioning
confidence: 99%