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中文摘要：
电池管理是汽车混合动力系统的关键技术之一。对混合动力汽车电池管理系统（BMS）的硬件和程序流程进行了设计,并采用径向基函数（RBF）神经网络对电池的荷电状态（SOC）进行估算。使用RBF神经网络算法估算SOC可避免对电池内部复杂的电化学反应建模的过程,并可达到较高的精度。
英文摘要：
Battery management is one of the key technologies of electric vehicle hybrid power system. The hardware and software processes of battery management system（BMS） of hybrid electric vehicle were designed, and the state of charge（SOC） was estimated by radial basis function（RBF） neural network. The SOC estimation based on RBF neural network algorithm could avoid the modeling process of complex electrochemical reaction in battery, achieving high estimation accuracy.
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