Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Jochen Brenneisen
Cascaded Fractional Kalman Filtering for State and Current Estimation of Large-Scale Lithium-Ion Battery Packs
Related publications
State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
A Novel Weight Coefficient Calculation Method for the Real‐time State Monitoring of the Lithium‐ion Battery Packs Under the Complex Current Variation Working Conditions
Energy Science and Engineering
Quality
Energy
Reliability
Safety
Risk
Letter to the Editor Re U+201C Fractional Modeling and SOC Estimation of Lithium-Ion Battery U+201D
IEEE/CAA Journal of Automatica Sinica
Control
Systems Engineering
Information Systems
Artificial Intelligence
Strong Tracking of a H-Infinity Filter in Lithium-Ion Battery State of Charge Estimation
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
Kalman Filtering With Truncated Normal State Variables for Bayesian Estimation of Macroeconomic Models
Economics Letters
Economics
Finance
Econometrics
Active Battery Balancing for Battery Packs
Electrical, Control and Communication Engineering
Adaptive State of Charge Estimation for Li-Ion Batteries Based on an Unscented Kalman Filter With an Enhanced Battery Model
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
A Nonlinear-Model-Based Observer for a State-Of-Charge Estimation of a Lithium-Ion Battery in Electric Vehicles
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
State Estimation of an Experimental Bioreactor Using the Extended Kalman Filtering Technology
IFAC Proceedings Volumes
