Real-time EV charging scheduler prioritizes emergencies and avoids stranded cars
A simulated menu-based charging framework combined range checks, congestion pricing and emergency preemption to cut average waiting time by 70.3% ...
A simulated menu-based charging framework combined range checks, congestion pricing and emergency preemption to cut average waiting time by 70.3% ...
A comprehensive review of 120 studies finds that hybrid AI and machine learning architectures are transforming electric vehicle battery management, ...
A new review shows that hybrid deep learning and swarm-optimized AI models are achieving near-perfect prediction of lithium-ion battery charge, ...
Researchers have combined Nyquist-plot geometry with a two-stage marine predator optimizer to identify fractional-order battery model parameters with over 90 ...
Researchers have built a microgrid scheduling system that pairs online electric vehicle battery state estimation with a neural network surrogate, ...
Researchers at Daegu University used electrochemical impedance spectroscopy to show that over discharge systematically raises diffusion resistance and shifts interfacial ...
A new study in Ionics uses 72 real BMW i3 driving trips and a Horned Lizard Optimization-tuned CatBoost model to ...
Researchers have developed a physics-informed neural network with an attention mechanism that predicts electric vehicle range with far greater accuracy ...
Researchers tracked crystal structure, surface chemistry, and elemental composition in commercial lithium iron phosphate pouch cells across six charging levels, ...
Researchers in India have combined a Siberia Tiger Optimisation and a Polar Fox Optimization to tune an LSTM network that ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine