Towards interactional management for power batteries of electric vehicles

Abstract

The rise of cloud computing and machine learning provides a tactical solution on how to efficiently achieve the interactional management and control of power batteries based on the battery system and traffic big data.

Tuning the electrocatalytic nitric oxide reduction activity of copper through alloying with nickel for NH3 production at low overpotentials

“…The pair of peaks situated at 853.88 eV and 871.14 eV belong to the Ni (2p 1/2 ) and Ni (2p 3/2 ), respectively, of metallic Ni 0 . 35 The additional peaks of Ni (2p 1/2 ) and Ni (2p 3/2 ) centered at binding energies of 855.53 eV and 872. 98 eV attributed to the Ni 2+ ions.…”

Atomic spectrometry update: review of advances in atomic spectrometry and related techniques

“…Measurement of Li isotope compositions at sub-nanogram levels was the subject of a study by He et al 160 They used MC-ICP-MS in combination with a membrane desolvation sample introduction system. They achieved precision better than 0.5& (2SD) for d 7 Li using ∼2 ng Li for analyses of geological RMs.…”

The Modeling and SOC Estimation of a LiFePO4 Battery Considering the Relaxation and Overshoot of Polarization Voltage

“…For lithium-ion batteries (LIBs), SOC is one of their most important parameters and is usually derived using model-based estimation algorithms. Owing to their easy calculation and analysis, equivalent circuit models (ECM) are employed in battery management system (BMS) simulations and applications [3].…”