Battery ultracapacitor based DC motor drive for electric vehicles

Joshi, M. P.; Samanta, Susovon; Srungavarapu, Gopalakrishna

doi:10.1109/tenconspring.2017.8070057

Cited by 10 publications

(6 citation statements)

References 9 publications

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“…Each time interval corresponds to one of the possible circuit configurations. State equations (15,16) apply for the D interval, and equations (17,18) for the 1 − D interval:…”

Section: B Linearized Dc-dc Converter Modelmentioning

confidence: 99%

“…In this work, we proposed a simplified version of a cascaded buck/boost converter termed Half-Bridge converter, which possesses all the advantages of a cascaded converter whilst also being comprised of a lower number of components; this converter is best suited for applications where it is not necessary to switch between buck and boost modes for a particular flow direction. This converter topology is used in [15] and [16] for similar applications.…”

Section: Introductionmentioning

confidence: 99%

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DC-DC Linearized Converter Model for Faster Simulation of Lightweight Urban Electric Vehicles

et al. 2020

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The aim of this paper is to present a new bidirectional DC-DC linearized converter model for use in power demand and recovery units mainly used in Lightweight Electric Vehicle applications. The model significantly reduces the simulation time of the experiments performed, with up to a 4450-fold decrease in simulation times with respect to the original switched DC-DC topology. The study begins with a literature review of available switched converters, after which the presented topology is selected. The object-oriented modeling language Modelica is used to implement the converter in the Dymola modeling environment. Components and base classes from the Modelica Standard Library and VehicleInterfaces library are mainly used for better interoperability. Because of the intensive use of converters in the whole vehicle and the time consumed by the converter simulations due to high frequency commutation, a linearized DC-DC converter model is proposed. Comparison tests are performed between the reference switched models and the proposed linearized models in Dymola tool to validate the linearized model behaviour. Nearly identical responses are obtained for both models, while simulation times are reduced as much as 1/4450 for the linearized converter. Furthermore, validation tests are carried out between the proposed linearized model in Dymola and a reference switched model in LTspice specific purpose simulation package for switched electronic circuits. Excellent agreement in the responses of both models is observed. INDEX TERMS Computer simulation, continuous time systems, discrete-time systems, DC-DC power converters, energy efficiency, energy management, smart grids.

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“…Each time interval corresponds to one of the possible circuit configurations. State equations (15,16) apply for the D interval, and equations (17,18) for the 1 − D interval:…”

Section: B Linearized Dc-dc Converter Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

DC-DC Linearized Converter Model for Faster Simulation of Lightweight Urban Electric Vehicles

et al. 2020

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“…Vehicle manufactures are working on electric vehicles (EVs) in order to meet increasing demands of the consumers for fuel-efficient, clean-energy vehicles [2]. Hybrid electric vehicles (HEVs) provide us an opportunity to resolve the problems related to decreasing oil reserves, global warming and tailpipe pollution [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Energy storage systems in HEVs have a main energy source and an auxiliary one [5]. The most common of them are the fuel cell-battery, the fuel cell-supercapacitor, the battery-supercapacitor, and fuel cell photovoltaic panels [4,6,[8][9][10][11]. The main energy source provides the long driving range and the alternate energy source works only when sudden acceleration is required or braking is performed.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles

et al. 2020

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In this paper, an adaptive nonlinear control strategy for the energy management of a polymer electrolyte membrane fuel cell and supercapacitor-based hybrid electric vehicle is proposed. The purpose of this work was to satisfy: (i) tight DC bus voltage regulation, (ii) good fuel cell reference current tracking, (iii) better supercapacitor reference current tracking (iv) global asymptotic stability of the closed-loop control system, and (v) better vehicle performance by catering to slowly-varying parameters. We have selected the power stage schematic of a hybrid electric vehicle and utilized adaptive backstepping and adaptive Lyapunov redesign-based nonlinear control methods to formally derive adaptive parametric update laws for all slowly-varying parameters. The performance of the proposed system has been tested under varying load conditions using experimental data from the “Extra Urban Driving Cycle.” Mathematical analysis and Matlab/Simulink results show that proposed controllers are globally asymptotically stable and satisfy all the design requirements. The physical effectiveness of proposed system has been verified by comparing simulation results with the real-time controller hardware in the loop experimental results. Results show that proposed system shows satisfactory performance and caters for the time-varying parametric variations and the load requirements.

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