Results 201 to 210 of about 5,165 (263)

DLLT: A dual-layer LSTM-transformer model for real-time energy and dynamics prediction in plug-in hybrid electric vehicles. [PDF]

PLoS One
Zhang X, Chen Z, Fang X.
europepmc   +1 more source

Real-Time Implementation and Comparative Analysis of FOC and FCS-MPCC-Based PMSM Drives for Electric Vehicles. [PDF]

Sensors (Basel)
Boyar A, Kabalcı E.
europepmc   +1 more source

AI-Assisted Self-Powered Wearable Dual-Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics. [PDF]

Adv Sci (Weinh)
Li T, Liu H, Liu G, Wang Q, Zhou H, Liu G, Xu Y, Wang J, Wang Z, Zhu F, Luo F, Wang ZL, Zhang C.   +12 more
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Perspective on Aqueous Batteries: Historical Milestones and Modern Revival. [PDF]

Adv Mater
Ming F, Guo D, Wang Y, Qasem H, Liang H, Alshareef HN.   +5 more
europepmc   +1 more source

Advancing electric bus transit system optimization with bus rotation across routes. [PDF]

NPJ Sustain Mobil Transp
Shehabeldeen A, Mohamed M.
europepmc   +1 more source

A Co-Created, Community-Informed Model for Electric Vehicle Adoption in Disadvantaged Communities. [PDF]

Transp Res D Transp Environ
Palinkas LA, Liff M, Campos A, Martinez AA, Eckel SP, Chen F, Johnston J, Franco W, Garcia E.   +8 more
europepmc   +1 more source

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Cruising with a Battery-Powered Vehicle and Not Getting Stranded

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
The main hindrance to a widespread market penetration of battery-powered electric vehicles (BEVs) has been their limited energy reservoir resulting in cruising ranges of few hundred kilometers unless one allows for recharging or switching of depleted batteries during a trip.
Sabine Storandt, Stefan Funke
openaire   +1 more source

Intelligent power monitoring systems for battery-powered electric vehicles

2015 IEEE International Conference on Information and Automation, 2015
An intelligent power monitoring system is studied and implemented in a two-wheeled battery-powered electric vehicle. The power monitoring system utilizes a neural network to estimate the state of charge for the battery-powered electric vehicle. The neural network is trained by the internal loss data of the battery of the vehicle in order to approximate
Yu-Heng Lin, Dian-Rong Li, Jhih-Kai Chuang, Yih-Guang Leu   +3 more
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High power Lithium Batteries usage in hybrid vehicles

2010 IEEE Vehicle Power and Propulsion Conference, 2010
Hybrid vehicles require an energy storage device capable of delivering or absorbing high specific powers (powers per unit of the device size), and still, in some cases, adequate levels of specific energy.
CERAOLO, MASSIMO, Lutzemberger G, MARRACCI, MIRKO   +2 more
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