Batteries, Vol. seven, Pages 58: Thermal Evaluation of LMO/Graphite Batteries Using Equivalent Circuit Models
Batteries doi: 10. 3390/batteries7030058
Authors: Nadjiba Mahfoudi M’hamed Boutaous Shihe Xin Serge Buathier
An efficient thermal management system (TMS) of electric vehicles requires the high-fidelity battery model. The particular model must be able to predict the electro-thermal behavior of the battery, considering the working conditions throughout the battery’s lifespan. In addition, the particular model must be easy to handle for the on-line monitoring and control associated with the TMS. Equivalent signal models (ECMs) are broadly used because of the simplicity plus suitable performance. In this particular paper, the electro-thermal habits of a prismatic fifty Ah LMO/Graphite cell is investigated. A dynamic design is adopted to describe the battery voltage, current, and heat generation. The particular battery model parameters are usually identified for a solitary cell, considering their evolution versus the state of charge and temperature. The particular needed experimental data are usually issued from the dimensions carried out, thanks in order to a special custom electrical bench able to impose a predefined current evolution or driving cycles, controllable by serial interface. The particular proposed battery parameters, functions of state of charge (SOC), and temperature (T) constitute a set associated with interesting and data, not available in the materials, and suitable for additional investigations. The thermal behaviour and the dynamic models are validated using the Brand new European Driving Cycle (NEDC), with a large operating time, higher than three or more h. The measurement plus model prediction exhibit the temperature difference less than 1 . 2 °C plus a voltage deviation much less than 3%, showing that the proposed model accurately predicts current, voltage, and temperature. The combined associated with temperature and SOC provides a more efficient modeling of the cell behavior. Nonetheless, the simplified model with only temperature dependency remains acceptable. Hence, the existing modeling constitutes a self-confident prediction and a true step for an on the web control of the complete thermal management of electrical automobiles.