FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles

(2021) Ingvild B. Espedal et al.   Energies

Development and analysis of electric vehicle driving cycle for hilly urban areas

(2021) Ali Hussain Umar Bhatti et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

(2018) Ruifeng Zhang et al.   Energies

FPGA-based design of advanced BMS implementing SoC/SoH estimators

(2018) Bijender Kumar et al.   MICROELECTRONICS RELIABILITY

A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature

(2018) Ruifeng Zhang et al.   Energies

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

(2018) Ephrem Chemali et al.   JOURNAL OF POWER SOURCES

A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects

(2015) Jia Ying Yong et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A new neural network model for the state-of-charge estimation in the battery degradation process

(2014) LiuWang Kang et al.   APPLIED ENERGY

Battery state-of-charge estimator using the SVM technique

(2013) J.C. Álvarez Antón et al.   APPLIED MATHEMATICAL MODELLING

Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach

(2011) Hongwen He et al.   Energies

FPGA-based Controllers

(2011) E Monmasson et al.   IEEE Industrial Electronics Magazine

Forecasting urban traffic flow by SVR with continuous ACO

(2010) Wei-Chiang Hong et al.   APPLIED MATHEMATICAL MODELLING