Optimizing energy management in electric vehicles with hybrid battery systems using the GTOA-DRCNN method

Kandaswamy, K.V.; Rengarajan, V.; Raj Narain, B.

doi:10.1016/j.est.2024.113352

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2024.113352

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Optimizing energy management in electric vehicles with hybrid battery systems using the GTOA-DRCNN method

K.V. Kandaswamy,

V. Rengarajan,

B. Raj Narain

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2024

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Cited by 3 publications

References 21 publications

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Enhancing the performance and economic efficiency of range-extended electric vehicles: A hybrid dual stream spectrum deconvolution neural network with Beluga Whale Optimization

Soundar Rajan,

Arul Prasanna,

Nishar Ahamed

et al. 2024

Journal of Energy Storage

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Enhancing the performance and economic efficiency of range-extended electric vehicles: A hybrid dual stream spectrum deconvolution neural network with Beluga Whale Optimization

Soundar Rajan,

Arul Prasanna,

Nishar Ahamed

et al. 2024

Journal of Energy Storage

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Energy management and distribution of fuel cell hybrid power system based on efficient and stable movement of mobile robot

Lü,

Zhai,

Zhang

et al. 2024

International Journal of Hydrogen Energy

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Efficiency Maximization of Stand-Alone HRES Based on Tri-Level Economic Predictive Technique

Al-Quraan,

Athamnah,

Malkawi

2024

Sustainability

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Renewable energy has been widely used in grid-connected and standalone hybrid renewable energy systems. These systems require a hybrid energy storage system due to the unpredictable climate and the inequality between the produced energy and the consumed energy. In this paper, a tri-level optimization method is used to optimize the sizing and the energy management of a standalone HRES, simplify the proposed optimization problem, and speed up the convergence process. Horizon prediction and weighting factor strategies are combined with the tri-level technique to find the most appropriate quantity of each element in the project and find the best energy management strategy. The objective function of the proposed methodology aims to minimize the total cost and improve the efficiency of the whole system. The proposed method was investigated on a standalone PV-WT with battery-hydrogen storage in different scenarios. The simulation results from the Matlab toolbox show that the performance indicators (cost and efficiency) are affected by the combination of the weighting factor and the forecasting index. The total productivity was improved by more than 2.5% in some scenarios while the investment cost and the running cost were reduced by values of 49.3% and 28.6%, respectively.

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Optimizing energy management in electric vehicles with hybrid battery systems using the GTOA-DRCNN method

Cited by 3 publications

References 21 publications

Enhancing the performance and economic efficiency of range-extended electric vehicles: A hybrid dual stream spectrum deconvolution neural network with Beluga Whale Optimization

Enhancing the performance and economic efficiency of range-extended electric vehicles: A hybrid dual stream spectrum deconvolution neural network with Beluga Whale Optimization

Energy management and distribution of fuel cell hybrid power system based on efficient and stable movement of mobile robot

Efficiency Maximization of Stand-Alone HRES Based on Tri-Level Economic Predictive Technique

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