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Academic Publication Improved hyperparameter Bayesian optimization-bidirectional long short-term memory optimization for high-precision battery state of charge estimation
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An accurate state-of-charge estimation of lithium-ion batteries based on improved particle swarm optimization-adaptive square root cubature kalman filter
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Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
AbstractAccurate state-of-health (SOH) estimation is critical for reliable and safe operation of lithium-ion batteries. However, reliable and stable battery SOH estimation remains challenging due t...
An innovative square root - untraced Kalman filtering strategy with full-parameter online identification for state of power evaluation of lithium-ion batteries
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Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management
This review explores recent advancements in electric vehicles (EVs), focusing on the transformative role of artificial intelligence (AI) in battery management systems (BMSs) and system control tech...
Short-term load forecasting using a two-stage CPO-PSO hyperparameter optimization of LSSVM
Scientific Reports - Short-term load forecasting using a two-stage CPO-PSO hyperparameter optimization of LSSVM
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What other academic literature is closely related to 'Improved hyperparameter Bayesian optimization-bidirectional long short-term memory optimization for high-precision battery state of charge estimation'?
Yes, highly correlated activity was mapped. An entry titled 'An accurate state-of-charge estimation of lithium-ion batteries based on improved particle swarm optimization-adaptive square root cubature kalman filter' discusses this: No description provided.
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Yes, highly correlated activity was mapped. An entry titled 'Short-term load forecasting using a two-stage CPO-PSO hyperparameter optimization of LSSVM' discusses this: Scientific Reports - Short-term load forecasting using a two-stage CPO-PSO hyperparameter optimization of LSSVM
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