| Power battery, embracing the most of attention, courtesy of the focus,development and application of new type energy, came on the scene in modernscience. However, much heat derived from the continuous chemical reaction incharging and discharging process, inducing the fluctuation in temperature ofbattery, is the very restriction of performance of battery especially in chargingand discharging process. This paper has provided an idea on prediction andclassification of temperature of battery based on thermal effect, which putsforward the solution of safe and efficient application of power battery.The thermal effect of battery is discussed in the paper along with the thermalanalysis of power battery in order to obtain the temperature characteristic andfuzzy grey analysis is applied to explore other factors affect the thermal featureof battery, providing foundation for the comparison of battery action. The paperhas also proposed the summary and analysis on the influence of thermal effect onbattery performance, and puts on more attention on the influence of thermaleffect on life, energy storage abilities and usage safety. The paper has alsooffered a feasible solution to thermal effect itself based on temperature of battery.The performance of battery may suffer an obvious recession beyondappropriate working temperature range during charging or discharging state,which stressed the importance of advanced prediction and control for temperaturein releasing better performance of battery. The temperature characteristic ofbattery can be obtained based on history data of charging and discharging recycle.The prediction and appropriate control can be derived from prediction modelbuilt from neural network, and the experiment over different workingenvironment and current mode, which contributes the distribution of temperatureof battery, reflecting inner thermal effect and temperature characteristic inadvance. Selection parameter and algorithm can be settled down with the research above as reference, in order to establish classification model on temperature,which offers foundation for improving the consistence level of battery based ontemperature classification and consummation of power battery sorting and inimproving application performance of power battery as well. |
