Leading the Pack: Next‐Generation Batteries for Humanoid Robotics
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider +6 more
wiley +1 more source
An enhanced energy management framework based on artificial gorilla troops for optimal operation of grid-connected multi-nanogrids. [PDF]
Elsayed WT +4 more
europepmc +1 more source
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi +12 more
wiley +1 more source
Adaptive multi-objective optimization of microgrid energy management using deep reinforcement learning considering battery degradation and renewable uncertainty. [PDF]
Altimania MRM +7 more
europepmc +1 more source
This work demonstrates a design paradigm of phonon‐driven negative‐thermal‐expansion (NTE) flexible framework that exploits the intrinsic lattice flexibility of NTE frameworks to simultaneously suppress thermal expansion and activate oxide‐ion conduction, offering a promising strategy to mitigate TEC mismatch in solid‐state ionic devices.
Xiaohui Li +10 more
wiley +1 more source
Optimizing charge discharge cycles using QPPONet-enabled hybrid learning framework for energy management and safety in electric vehicles. [PDF]
Sujan Kumar MV, Khekare G.
europepmc +1 more source
From Devices to Systems: Integration Strategies for Micro‐Supercapacitors in Microsystems
Micro‐supercapacitors are evolving from device‐level energy storage toward system‐level functional units in integrated microsystems. This Review presents a system‐oriented design framework in which integration serves as the key link between application requirements, system constraints, device architectures, and material selection. Monolithic and hybrid
Zhuohao Liu, Gang Li, Kaiying Wang
wiley +1 more source
Estimation of battery SOC using a combined approach of temporal convolutional networks and Unscented Kalman Filter. [PDF]
Lin H, Chen X, Zhang L, Bao Z, Tang S.
europepmc +1 more source
This review focuses on green synthesis routes for lithium sulfide (Li2S)—a key material for lithium–sulfur batteries and sulfide solid electrolytes, whose traditional carbothermal reduction remains energy‐intensive and unsustainable. Specifically examined routes include low‐temperature solid‐state reactions, magnesiothermal reduction, and solution ...
Aiping Peng +11 more
wiley +1 more source
A case study to compare the methods of SOC estimation for lithium-ion batteries using second-order RC circuit model. [PDF]
Xu HY, Wang JL, Wang WW.
europepmc +1 more source

