A novel extended Kalman filter-based battery internal and surface temperature estimation based on an improved electro-thermal model

2021 ◽  
Vol 41 ◽  
pp. 102854
Author(s):  
Hui Pang ◽  
Long Guo ◽  
Longxing Wu ◽  
Jiamin Jin ◽  
Fengqi Zhang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Surface Temperature ◽  
Extended Kalman Filter ◽  
Thermal Model ◽  
Temperature Estimation

Extended Kalman Filter Based In-Cylinder Temperature Estimation for Diesel Engines With Thermocouple Lag Compensation

2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Song Chen ◽  
Fengjun Yan
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Diesel Engines ◽  
Measurement Errors ◽  
Low Cost ◽  
Estimation Method ◽  
Measured Temperature ◽  
Temperature Estimation ◽  
Engine Model ◽  
Auto Ignition

The in-cylinder temperature information is critical for auto-ignition combustion control in diesel engines, but difficult to be directly accessed at low cost in production engines. Through investigating the thermodynamics of Tivc, cycle-by-cycle models are proposed in this paper for the estimation of in-cylinder temperature at the crank angle of intake valve closing (IVC), referred to as Tivc. An extended Kalman filter (EKF) based method was devised by utilizing the measurable temperature information from the intake and exhaust manifolds. Due to the fact that measured temperature signals by typical thermocouples have slow responses which can be modeled as first-order lags with varying time-constants, temperature signals need to be reconstructed in transient conditions. In the proposed EKF estimation method, this issue can be effectively addressed by analyzing the measurement errors and properly selecting the noises covariance matrices. The proposed estimation method was validated through a high-fidelity GT-power engine model.

Development of thermal model for estimation of core temperature of batteries

2020 ◽  
Vol 21 (4) ◽  
Author(s):  
Sumukh Surya ◽  
Amit Bhesaniya ◽  
Aditya Gogate ◽  
Raghav Ankur ◽  
Vineeth Patil
Keyword(s):  
Kalman Filter ◽  
Surface Temperature ◽  
Ambient Temperature ◽  
Thermal Management ◽  
Core Temperature ◽  
Thermal Model ◽  
Test Cases ◽  
Estimation Technique ◽  
Governing Equations ◽  
Thermal Management System

AbstractCore temperature (Tc) estimation plays an important in role in establishing an effective thermal management system of a battery. In the present work, Tc of a lead acid (Pb) battery was estimated using a Kalman filter, based on a thermal model of the battery using convection resistances and capacitances. The governing equations based on measured surface temperature (Ts) and ambient temperature (Tamb) were derived. Since Tc cannot be measured directly, estimation technique was used to predict the same using measured Ts and Tamb. Five test cases for which the profiles of Tc versus time were available were analyzed. It was found that the errors in the predictions varied from 0.25 °C to 3.5 °C., depending on the nature of Tc profiles, with minimum errors when Tc has slow variations with time.

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