A predictive power management scheme for hybrid energy storage system in electric vehicle

Katnapally, Akhil; Manthati, Udaya Bhasker; Arunkumar, Chellaiah; Punna, Srinivas

doi:10.1002/cta.3119

Cited by 20 publications

(20 citation statements)

References 27 publications

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“…e most common type of main storage unit is lithium-ion batteries. ermal runaway behaviour of lithium-ion batteries after overcharging is greatly influenced by diverse cell packaging configurations [23]. Furthermore, battery age prediction is required for the smooth as well as effective operation of coupled battery methods in electric cars.…”

Section: Related Workmentioning

confidence: 99%

Renewable Energy Based Smart Grid Construction Using Hybrid Design in Control System with Enhancing of Energy Efficiency of Electronic Converters for Power Electronic in Electric Vehicles

Sodagudi¹,

Manjula

Vinmathi³

et al. 2022

International Transactions on Electrical Energy Systems

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The power electronic interface is critical in matching a distributed generation (DG) unit’s characteristics to grid requirements as most DG technologies rely on renewable energy. Increased adoption of electric vehicles (EV) is seen as a positive step toward minimizing air pollution as well as carbon emissions. Rapid proliferation of electric vehicles as well as charging stations has exacerbated voltage quality as well as harmonic distortion difficulties, which harm the efficiency of combined renewable energy. This research proposes novel hybrid design techniques in control systems that enhance the energy efficiency of electronic converters for power electronics. The control system enhancement has been carried out using a hybrid energy storage electric convertor, and energy efficiency is improved using a synergetic battery reference adaptive controller. A plug-in hybrid electric vehicle (PHEV)’s internal combustion engine with a small photovoltaic (PV) module is utilised to assess a proposed control method which effectively regulates electric power on-grid by draining electricity from batteries during peak hours as well as then charging them during off-peak times, lowering the load on the converter as well as allowing electric vehicles to charge faster. Experimental results show the constant acceleration case obtained battery current of 92 Amps, ultracapacitor current of 89 Amps, charging voltage of 88 V, DC load current of 85 Amps, battery SOC of 72%, and the time-varying acceleration proposed technique obtained current of 94 Amps, and ultracapacitor current of 90 Amps, charging voltage of 90 V, DC load current of 82 Amps, battery SOC of 79%.

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Section: Related Workmentioning

confidence: 99%

Renewable Energy Based Smart Grid Construction Using Hybrid Design in Control System with Enhancing of Energy Efficiency of Electronic Converters for Power Electronic in Electric Vehicles

Sodagudi¹,

Manjula

Vinmathi³

et al. 2022

International Transactions on Electrical Energy Systems

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“…An interesting alternative to the BESS designer is the association of electronic power pack based on different chemistries, realizing an HESS 17,31,32 . As an example, flow batteries, which have higher energy density and lower power density, can be used with lithium batteries with lower energy density and higher power density, extracting the best of both worlds.…”

Section: Battery String and Power Electronics Of A Bessmentioning

confidence: 99%

“…30 An interesting alternative to the BESS designer is the association of electronic power pack based on different chemistries, realizing an HESS. 17,31,32 As an example, flow batteries, which have higher energy density and lower power density, can be used with lithium batteries with lower energy density and higher power density, extracting the best of both worlds. This is also a good solution applied for second life battery for BESS systems, since it is possible to associate electronic power packs with different degradation levels.…”

Section: Battery String and Power Electronics Of A Bessmentioning

confidence: 99%

Battery energy management proposition for energy storage using active dc–dc converter

Maia

Kattel

Corrêa

et al. 2022

Circuit Theory & Apps

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Battery energy storage systems (BESS) are storage facilities used for ancillary services, mainly to support renewable sources operation that can reach megawatts of power. As a consequence, battery packs must be associated, and power electronics are necessary to control power flow. As a consequence, battery packs must be associated, and power electronics are necessary to control power flow, among the different design alternatives for building a BESS. This paper offers an alternative for a BESS based on a new control strategy applied to a two-stage bidirectional dc-dc converter. The proposed strategy is capable of setting the power flow through voltage/current control during operation based on real-time battery conditions, extending system life (using optimum dispatchable energy) and increasing reliability and profitability. In addition, State-of-Charge and State-of-Health are monitored, in order to keep track of aging effects. Moreover, the strategy enables mixing different battery technologies with a wide range of degradation, which can be used to retrofit operational plants or even build new systems focused on second life batteries.Simulation studies are performed using Typhoon HIL604, and a prototype is presented to validate the effectiveness of the methodology of the proposed control strategy.

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“…Most of the PMAs are based on rule-based and optimization-based energy management. 16,17 Some of the PMAs are based on dynamic energy management, 7 dynamic evolution control, 14 model predictive control (MPC), 18,19 supervisory power management, 20 and optimal algorithms, 21,22 which are effectively applied in AC and DC MGs.…”

Section: Introductionmentioning

confidence: 99%

“…The PI controllers are linear and controlled systems (gridintegrated converters) exhibits nonlinear dynamics. Moreover, it involves a modulation stage that generates lower order harmonics, sluggish transient response, 19,24 and unsymmetrical performance characteristics due to predominant discrete dynamics of the converters. The inclusion of nonlinearities is not possible in the traditional control approach.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control of solar photovoltaic‐based microgrid with composite energy storage

Majji

Mishra

Dongre

2022

Circuit Theory & Apps

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Summary The renewable energy (e.g., solar photovoltaic)‐based grid‐connected microgrid (MG) with composite energy storage system (CESS) is feasible to ensure sustainable and quality power to the commercial and domestic load demands. Effective control systems provide the dynamic performance of such deployed MGs. This paper investigates the application of the finite control‐set model predictive controller (FCS‐MPC) for solar photovoltaic‐based grid‐connected MGs with composite energy storage. FCS‐MPC considers the discrete nature of interfacing (DC–AC and DC–DC) converters into the control algorithm to predict the optimal control command for reference current tracking. Compared to classical control approaches, FCS‐MPC provides a fast‐dynamic response, discards the modulation stage, and effectively handles the effects of dynamic source and load variations and nonlinear loads. The control system encapsulates a proportional–integral (PI) controller, low‐pass filter (LPF), power management algorithm (PMA) unit, and followed by the FCS‐MPC approach. The CESS unit consists of a battery and supercapacitor storage system. The efficacy of the FCS‐MPC approach is verified through the MATLAB/Simulink results. Solar photovoltaic variation due to irradiance, utility grid availability, electricity pricing, and dynamic load variations are considered in the implementation. Furthermore, real‐time simulation of the proposed method is validated using OPAL‐RT OP4510 real‐time simulator.

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A predictive power management scheme for hybrid energy storage system in electric vehicle

Cited by 20 publications

References 27 publications

Renewable Energy Based Smart Grid Construction Using Hybrid Design in Control System with Enhancing of Energy Efficiency of Electronic Converters for Power Electronic in Electric Vehicles

Renewable Energy Based Smart Grid Construction Using Hybrid Design in Control System with Enhancing of Energy Efficiency of Electronic Converters for Power Electronic in Electric Vehicles

Battery energy management proposition for energy storage using active dc–dc converter

Model predictive control of solar photovoltaic‐based microgrid with composite energy storage

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