首页> 外文会议>International Advanced Automotive Battery Conference(AABC) and Ultracapacitor Conference; 20060517-19; Baltimore,MD(US) >Modeling of the charge-discharge behavior of a 12-V automotive lead-acid battery and comparison with measurement data
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Modeling of the charge-discharge behavior of a 12-V automotive lead-acid battery and comparison with measurement data

机译:汽车12V铅酸蓄电池的充放电行为建模以及与测量数据的比较

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For the optimal design of the vehicle electric system, it is important to have a reliable modeling tool to predict the charge-discharge behavior of the automotive battery. In this work, a two-dimensional modeling was carried-out to predict the charge-discharge behaviors of a 12-V automotive lead-acid battery. The model accounted for electrochemical kinetics and ionic mass transfer in a battery cell. In order to validate the modeling, modeling results were compared with the measurement data of the charge-discharge behaviors of the lead-acid batteries having nominal capacities of 90Ah and 68Ah that are mounted on the automobiles manufactured by Hyundai Motor Company. The discharge behaviors were measured with four different discharge rates of C/3, C/5, C/10, and C/20 at five different operating temperatures of -20, 25, 40, 60, and 75℃. The batteries were charged with constant current of 30A until the charging voltage reached a predetermined value and then with the constant voltage. The discharge and charge curves from the measurements and modeling were in good agreement. Based on the modeling, the distributions of the electrical potentials of the solid and solution phases, the porosity of the electrodes, and the current density within the electrodes as well as the acid concentration can be predicted as a function of charge and discharge time.
机译:对于车辆电气系统的最佳设计,重要的是拥有可靠的建模工具来预测汽车电池的充放电行为。在这项工作中,进行了二维建模,以预测12V汽车铅酸电池的充放电行为。该模型考虑了电池组中的电化学动力学和离子传质。为了验证模型,将模型结果与标称容量为90Ah和68Ah的铅酸电池的充电-放电行为的测量数据进行比较,这些铅酸电池安装在现代汽车公司生产的汽车上。在-20、25、40、60和75℃的五个不同工作温度下,使用四种不同的放电速率C / 3,C / 5,C / 10和C / 20测量放电行为。用30A的恒定电流对电池充电,直到充电电压达到预定值,然后再用恒定电压充电。测量和建模的放电和充电曲线非常吻合。基于建模,可以预测固相和溶液相的电势分布,电极的孔隙率,电极内的电流密度以及酸浓度随充电和放电时间的变化而变化。

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