Active load current sharing in fuel cell and battery fed DC motor drive for electric vehicle application

Pany, Premananda; Singh, Ravindra Kumar; Tripathi, Ramesh Kumar

doi:10.1016/j.enconman.2016.05.062

Cited by 29 publications

(9 citation statements)

References 24 publications

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“…The ratio between the motor shaft and the wheel shaft, rt, allows obtaining the motor torque, TM(t), and the angular speed of the wheel, ω(t). Replacing (15) and (16) into (13) and (14) derives in (17) and (18), which includes the efficiency of the vehicle transmission system and motor, ηT.…”

Section: Of 20mentioning

confidence: 99%

“…Besides, the terrain conditions have a considerable influence, The electric motor model is another key element. State of the art shows that some studies use DC motors [16,17] while other studies use AC motors, e.g., induction motors in [18][19][20], permanent magnet synchronous motors in [18,[21][22][23] and, finally, switched reluctance motors in [17,23,24]. The procedure used in each type of motor is similar, although the set of equations and control techniques could be different between them.…”

Section: Introductionmentioning

confidence: 99%

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Step-by-Step Small-Signal Modeling and Control of a Light Hybrid Electric Vehicle Propulsion System

et al. 2019

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This paper develops step-by-step a complete electric model of a light hybrid electric vehicle propulsion system. This model includes the vehicle mass, the radius and mass of the wheels, the aerodynamic profile of the vehicle, the electric motor and the motor drive, among other elements. Each element of the model is represented by a set of equations, which lead to getting an equivalent electric circuit. Based on this model, the outer and inner loop compensators of the motor drive control circuit are designed to provide stability and a fast dynamic response to the system. To achieve this, the steady-state equations and the small-signal model of the equivalent electric circuit are also obtained. Furthermore, as these elements are the main load of the power distribution system of the fully electric and light hybrid electric vehicle, the input impedance model of the set composed of the input filter, the motor drive, the motor, and the vehicle is presented. This input impedance is especially useful to get the system stability of the entire power distribution system.

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Section: Of 20mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Step-by-Step Small-Signal Modeling and Control of a Light Hybrid Electric Vehicle Propulsion System

et al. 2019

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“…Other models are focused on representing the behavior of an EV during charging and discharging processes [34]. However, in order to integrate the EV model in simulations involving thousands of different real trajectories, a more simplified model based on [35], suitable for real-time applications has been used in this work.…”

Section: Electric Vehicle Consumption Modelmentioning

confidence: 99%

Using mobility information to perform a feasibility study and the evaluation of spatio-temporal energy demanded by an electric taxi fleet

Fraile-Ardanuy

Castaño-Solís

Álvaro-Hermana

et al. 2018

Energy Conversion and Management

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“…To deal with the above deficiencies, a fuel cell is usually collaborated with a battery to power an FCEV because the battery has higher power density for accelerations and can recover energy from the braking system [9]. For example, the 2019 Toyota FCEV-Mirai-is powered by a fuel-cell stack of 112 kW and an auxiliary driving battery with a maximum electricity output of 9 kW; the battery allows for regenerative braking energy and also assists the EV during high-power demands like acceleration [10].…”

Section: Introductionmentioning

confidence: 99%

Traffic-Condition-Prediction-Based HMA-FIS Energy-Management Strategy for Fuel-Cell Electric Vehicles

Yao

et al. 2019

Energies

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In the field of Fuel Cell Electric Vehicles (FCEVs), a fuel-cell stack usually works together with a battery to improve powertrain performance. In this hybrid-power system, an Energy Management Strategy (EMS) is essential to configure the hybrid-power sources to provide sufficient energy for driving the FCEV in different traffic conditions. The EMS determines the overall performance of the power supply system; accordingly, EMS research has important theoretical significance and application values on the improvement of energy-utilization efficiency and the serviceability of vehicles' hybrid-power sources. To overcome the deficiency of apparent filtering lag and improve the adaptability of an EMS to different traffic conditions, this paper proposes a novel EMS based on traffic-condition predictions, frequency decoupling and a Fuzzy Inference System (FIS). An Artificial Neural Network (ANN) was designed to predict traffic conditions according to the vehicle's running parameters; then, a Hull Moving Average (HMA) algorithm, with filter-window width decided by the prediction result, is introduced to split the demanded power and keep low-frequency components in order to meet the load characteristics of the fuel cell; afterward, an FIS was applied to manage power flows of the FCEV's hybrid-power sources and maintain the State of Change (SoC) of the battery in a predefined range. Finally, an FCEV simulation platform was built with MATLAB/Simulink and comparison simulations were carried out with the standard test cycle of the Worldwide harmonized Light vehicle Test Procedures (WLTPs). Simulation results showed that the proposed EMS could efficiently coordinate the hybrid-power sources and support the FCEV in following the reference speed with negligible control errors and sufficient power supply; the SoC of the battery was also maintained with good adaptability in different driving conditions.

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Active load current sharing in fuel cell and battery fed DC motor drive for electric vehicle application

Cited by 29 publications

References 24 publications

Step-by-Step Small-Signal Modeling and Control of a Light Hybrid Electric Vehicle Propulsion System

Step-by-Step Small-Signal Modeling and Control of a Light Hybrid Electric Vehicle Propulsion System

Using mobility information to perform a feasibility study and the evaluation of spatio-temporal energy demanded by an electric taxi fleet

Traffic-Condition-Prediction-Based HMA-FIS Energy-Management Strategy for Fuel-Cell Electric Vehicles

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