Electric traction system for a supercapacitor-based electric vehicle

Peralta-Sanchez, E.; Rodríguez-Rivas, J.J.

doi:10.1109/evs.2013.6915013

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…(4), and the current supplied to the DC link is given by Eq. (5). Figure 4 illustrates the operation during this mode, where the input current to the DC link is supplied by both the battery and EDLC bank, and a diode voltage drop occurs at S 6 .…”

Section: Mode 3: Parallel Battery and Edlc Bank Drivingmentioning

confidence: 99%

“…Simultaneously, the adoption of the electric double-layer capacitor (EDLC), which is a supercapacitor, in the energy storage system of LEVs is increasing with the development of electric vehicles (EV). In (4), (5), and (6), EVs powered only by EDLC were proposed owing to their high power density and long lifetime characteristics at frequent charge/discharge applications. Moreover, hybrid energy storage systems (HESSs) comprising an EDLC bank and a main energy storage unit, which is generally a lead-acid battery, are being developed given the high energy density of the battery, and rapid charge/discharge characteristics of EDLCs (7)- (13) .…”

Section: Introductionmentioning

confidence: 99%

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A Power-Assistance System using a Battery and an Electric Double-Layer Capacitor Bank for Light Electric Vehicles

2019

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To improve the performance of light electric vehicles (LEVs), we propose a current sharing control system for series-parallel changeover, whose hybrid energy storage system (HESS) comprises an electric double-layer capacitor (EDLC) bank and a main battery. In the proposed system, the series or parallel connection between the EDLC bank and the main battery is decided depending on the bank voltage for managing the energy stored in the HESS. Moreover, we propose a simple output current control method for the parallel connection of the EDLC bank. This method allows for the ratio of output current in both storage components to be controlled by introducing a share command parameter. Experimental results from field tests demonstrate the parallel operation with adjustable current sharing control. Finally, we discuss the combination of series-parallel operations to provide power assistance for LEVs.

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Section: Mode 3: Parallel Battery and Edlc Bank Drivingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Power-Assistance System using a Battery and an Electric Double-Layer Capacitor Bank for Light Electric Vehicles

2019

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“…Light EVs are designed in [4] with full pure supercapacitors and the EV performances of acceleration and travelled distance are predicted and valuated. A small EV prototype is built to research the feasibility of using supercapacitor based EVs in the public transport of Mexico City, validated in simulation and experiments [5]. A sightseeing car powered by supercapacitors is designed and analyzed in [6], which may also be used in city tourism.…”

Section: Introductionmentioning

confidence: 99%

A Driving-Behavior-Based SoC Prediction Method for Light Urban Vehicles Powered by Supercapacitors

Wang

Zhou

Xue

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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Range anxiety is one of the problems that hinders the large-scale application of electric vehicles (EVs). We propose a driving-behavior-based State of Charge (SoC) prediction (DBSP) algorithm to overcome this problem. This algorithm can determine whether drivers can reach their destinations while also predicting the SoC if drivers were to return the trip. First, two supercapacitor equivalent circuit models are established, with one based on the historical average power and the other based on the equivalent current, which is proposed in this algorithm. Then, based on the equivalent transformation of the two models, an analytical expression relating the historical average power and the predicted SoC is derived by using the equivalent current as a 'bridge'. Therefore, the predicted SoC can be dynamically adjusted in response to recorded historical data, including the output power, speed and distance of EVs powered by supercapacitors. The simulation results demonstrate that the total prediction error is less than 0.5% of the real SoC at different initial SoC and temperature, which represents idealized behavior-based driving. In contrast, in actual driving experiments, the total prediction error is less than 3% of the real SoC at different initial SoC and temperature.

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Power management system for electric traction integrated with microgrid

Banumathi,

Uma

2025

Green Machine Learning and Big Data for Smart Grids

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Electric traction system for a supercapacitor-based electric vehicle

Cited by 6 publications

References 3 publications

A Power-Assistance System using a Battery and an Electric Double-Layer Capacitor Bank for Light Electric Vehicles

A Power-Assistance System using a Battery and an Electric Double-Layer Capacitor Bank for Light Electric Vehicles

A Driving-Behavior-Based SoC Prediction Method for Light Urban Vehicles Powered by Supercapacitors

Power management system for electric traction integrated with microgrid

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