PDF

NGOIE MALANGO Jenovic TECHNOLOGIE DES BATTERIES (1)

NGOIE MALANGO Jenovic, C.T RUMBU KAYIMBU

2026enbattery managementlithium ionstate of chargestate of healthcell balancingelectric vehicles

Abstract

No abstract available for this document.

Download

Cite This Work

@article{a5e09921-6e1c-47ad-adc6-5b2602c7004a,
  title={NGOIE MALANGO Jenovic TECHNOLOGIE DES BATTERIES (1)},
  author={NGOIE MALANGO Jenovic and C.T RUMBU KAYIMBU},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - NGOIE MALANGO Jenovic TECHNOLOGIE DES BATTERIES (1)
AU  - NGOIE MALANGO Jenovic
AU  - C.T RUMBU KAYIMBU
PY  - 2026
LA  - en
ER  -

Similar Items

Battery health reporting fails independent validation across manufacturers

Jeongju Park, Kyungkak Kim

Battery state-of-health (SOH) reported by on-board battery management systems (BMS) is crucial for electric vehicle (EV) owners and regulators, yet it

2025EnglishPDF

C2L-Net: A Data-Driven Model for State-of-Charge Estimation of Lithium-Ion Batteries During Discharge

Khoa Tran, T. Nguyen-Thoi

Accurate state-of-charge (SOC) estimation is critical for the safe and efficient operation of lithium-ion batteries in battery management systems (BMS

2025EnglishPDF

Koopman Spectral Analysis of Lithium-Ion Battery Dynamics: State of Charge as a Marginally Stable Observable

Bakhtiar Nafis, Khalid Mahmud Labib

Accurate state-of-charge (SOC) estimation in lithium-ion batteries remains a challenge due to its strongly nonlinear electrochemical dynamics, operati

2018EnglishPDF

Conference Full Paper template

Wasiue Ahmed, Mokhi Maan Siddiqui

While the efficiency of renewable energy components like inverters and PV panels is at an all-time high, there are still research gaps for batteries.

2022EnglishPDF

Conference Full Paper template

Wasiue Ahmed, Mokhi Maan Siddiqui

While the efficiency of renewable energy components like inverters and PV panels is at an all-time high, there are still research gaps for batteries.

2013EnglishPDF

Forecasting Electric Vehicle Battery Output Voltage: A Predictive Modeling Approach

Narayana Darapaneni, Ashish K

The rapid growth in the adoption of electric vehicles (EVs) has underscored the importance of efficient battery management systems (BMS) that can accu

2021EnglishPDF