Journal
ENERGIES
Volume 8, Issue 5, Pages 4400-4415Publisher
MDPI
DOI: 10.3390/en8054400
Keywords
internal temperature estimation; Kalman filter; thermal model; heat generation; entropy change
Categories
Funding
- Research and Development of Application Technology Plan Project in Heilongjiang Province of China [GA13A202]
- Nature Science Foundation of China-Engineering and Physical Sciences Research Council (NSFC-EPSRC) Collaborative Research Initiative in Smart Grids and the Integration of Electric Vehicles [51361130153]
- Science and Technology Project of State Grid Corporation of China
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The battery internal temperature estimation is important for the thermal safety in applications, because the internal temperature is hard to measure directly. In this work, an online internal temperature estimation method based on a simplified thermal model using a Kalman filter is proposed. As an improvement, the influences of entropy change and overpotential on heat generation are analyzed quantitatively. The model parameters are identified through a current pulse test. The charge/discharge experiments under different current rates are carried out on the same battery to verify the estimation results. The internal and surface temperatures are measured with thermocouples for result validation and model construction. The accuracy of the estimated result is validated with a maximum estimation error of around 1 K.
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