A new three-port bidirectional DC/DC converter for hybrid energy storage

Ling, Zhixiang; Wang, Hui; Yan, Kun; Sun, Zaoyi

doi:10.1109/ifeec.2015.7361598

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…Power switch losses of converters used in hybrid electric systems of [14] are analyzed. The paper [15] explains the topology and control of converter formed of three fullbridge cells and high-frequency transformer whereas a high-frequency magnetic coupled H bridge-double half-bridge three-port bidirectional converter applied in storage battery-ultracapacitor hybrid energy storage system is explained in [16].…”

Section: Isolated Multiport Dc-dc Convertersmentioning

confidence: 99%

Multiport DC-DC converters for renewable energy: an overview with contributions

Rajendran,

Jayamani

2021

JEE

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The natural energy sources such as oil, coal, natural gas are finite. Also the environmental issues such as global warming have become increasingly serious and require attention. The applications of renewable energy (RE) sources viz. Solar, wind, biomass and tidal power as a major form of clean technology could be the right solution to solve energy crisis ahead with decreasing manufacturing cost. Power electronic converters are used to convert power from renewable sources to cater load demand and/ or grid. Instead of using different DC-DC converters for connecting renewable sources and storage system to the load, Multiport DC-DC converter as single unit can be used to improve efficiency and power density. Many such converters have been proposed in recent times each of which has different topology, reliability and efficiency. The comparison of such different topologies is carried on in this paper which can assist proper selection of suitable topology for any specific requirement. Also, the research extension of the topologies is discussed quoting how the voltage gain can be improved and development of multiport DC-AC inverters.

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Section: Isolated Multiport Dc-dc Convertersmentioning

confidence: 99%

Multiport DC-DC converters for renewable energy: an overview with contributions

Rajendran,

Jayamani

2021

JEE

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“…In (López-Flores et al, 2010) present a phase-shifting full-bridge converter, in which they use the current doubler to be able to deliver a greater amount of current while helping to reduce the ripple, although it depends on the duty cycle used. There are also (Kayaalp et al, 2016;Lai et al, 2016;Shreelekha & Arulmozhi, 2016;Zhixiang Ling et al, 2015) which use phase-shift control, rather than duty-cycle control, thus enabling their more efficient use in multiport systems; (Rahimpour & Baghramian, 2017;Zakis et al, 2012) use the Z-source and Γ-source topologies for greater voltage and current stability, while reducing the reactive components of the circuit.…”

Section: Introductionmentioning

confidence: 99%

Design of a bidirectional converter for charging/discharging a supercapacitor

Garza-González

2023

JEE

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This article presents the analysis and design of a new converter that combines the current doubler topology and the parallel converter to achieve greater stability and effective reduction of ripple in both voltage and current parameters. Basically, the DC-DC (Direct Current to Direct Current) converter operates with pulse modulators to control the current in the desired charging or discharging direction. Extensive simulations were carried out at nominal values of 48 V and 8.5 A of output, and 100 V of input to confirm the performance of this converter. The approach used has benefits in terms of safety, reduced electrical noise, practical implementation for interconnecting energy sources with high voltage ratios, and increased lifespan of supercapacitors as well as batteries. Simulation results are presented and the advantages and applications of this new configuration are discussed.

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Neural network‐based energy management of multi‐source (battery/UC/FC) powered electric vehicle

2020

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Due to increased environmental pollution and global warming concerns, the use of energy storage units that can be supported by renewable energy resources in transportation becomes more of an issue and plays a vital role in terms of clean energy solutions. However, utilization of multiple energy storage units together in an electric vehicle makes the powertrain system more complex and difficult to control. For this reason, the present study proposes an advanced energy management strategy (EMS) for range extended battery electric vehicles (BEVs) with complex powertrain structure. Hybrid energy storage system (HESS) consists of battery, ultra-capacitor (UC), fuel cell (FC) and the vehicle is propelled with two complementary propulsion machines. To increase powertrain efficiency, traction power is simultaneously shared at different rates by propulsion machines. Propulsion powers are shared by HESS units according to following objectives: extending battery lifetime, utilizing UC and FC effectively. Primarily, to optimize the power split in HESS, a convex optimization problem is formulated to meet given objectives that results 5 years prolonged battery lifetime. However, convex optimization of complex systems can be arduous due to the excessive number of parameters that has to be taken into consideration and not all systems are suitable for linearization. Therefore, a neural network (NN)-based machine learning (ML) algorithm is proposed to solve multi-objective energy management problem. Proposed NN model is trained with convex optimization outputs and according to the simulation results the trained NN model solves the optimization problem within 92.5% of the convex optimization one.

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A new three-port bidirectional DC/DC converter for hybrid energy storage

Cited by 7 publications

References 8 publications

Multiport DC-DC converters for renewable energy: an overview with contributions

Multiport DC-DC converters for renewable energy: an overview with contributions

Design of a bidirectional converter for charging/discharging a supercapacitor

Neural network‐based energy management of multi‐source (battery/UC/FC) powered electric vehicle

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