To investigate the thermal performance of water cooling based battery thermal management system in lithium ion batteries dynamic cycling, the experimental and numerical studies are carried out in this work. In numerical simulation, an electrochemical-thermal model is adopted to predict the thermal behavior and validates with experimental measurement. For both experimental and simulated results, the voltage, current, and the temperature distribution in the sin. To investigate the thermal performance of water cooling based battery thermal management system in lithium ion batteries dynamic cycling, the experimental and numerical studies are carried out in this work. In numerical simulation, an electrochemical-thermal model is adopted to predict the thermal behavior and validates with experimental measurement. For both experimental and simulated results, the voltage, current, and the temperature distribution in the single battery and battery pack are exhibited. In addition, the active water cooling system is the better method to improve the battery pack thermal performance at low cycling rate. Moreover, dealing with the situation of using battery pack in wide range at different rate, a compound system need to be design in the real battery pack system.••••Two temperature peaks are observed during each dynamic cycling.••The similar temperature value was achieved compared with experiment results.••The thermo-physical and kinetic parameters play a key role to remove inaccuracy.••Water cooling system is the better method at low cycling rate.Lithium ion battery safetyThermal managementHeat dissipationThermal-electrochemical modelas specific interfacial area of the electrode, m-1c lithium ion concentration, mol·m-3Cp heat capacity, J·kg-1·K-1D diffusion coefficient of lithium ion, m2·s-1E cell potential, V∂EOC/∂T Nowadays, environmental pollution and energy crisis have attracted worldwide attention in the development of a clean energy transportation system. Lithium-ion batteries play a key role in the development of electric vehicles and energy storage station, owing to its higher power density and efficiency, lower self-discharge rate, longer life and the lack of memory effect. However, significant temperature gradients can be developed inside the battery pack due to the battery internal resistance and heat generation resulting from the electrochemical reactions inside the individual batteries. The performance of an electric vehicle depends strongly on its battery pack performance. The temperature variations inside the battery pack will lead to different cell-to-cell internal resistance and voltage and can degrade the pack performance and shortening batteries life cycle. It is widely acknowledged that the optimum operating temperature of lithium ion battery is 20–40 °C, and Zhao et al. highlighted that the lifetime of the battery will be reduced by two months for each degree rise in temperature. Therefore, an upper temperature limit of 60 °C is adopted as a significant criterion for BTMS under moderate operating condition. In addition, the maximum temperature difference in a battery pack should be maintained below 5 °C to promote battery balancing and uniform charging during the cycle. Therefore, battery thermal management (BTM) is necessary to control the battery temperature within an acceptable range and.
