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针对新兴混合插拔式电动汽车(plug-in hybrid electric vehicle,PHEV)应用,已有的车用能量存储系统存在笨重和可靠性差等缺点,同时驾驶人的驾驶行为严重地影响能量存储系统的性能和使用寿命,因此有效地对特定用户驾驶行为进行分析,并对大规模混合能量存储系统进行优化设计,将为未来新兴电驱动混合动力汽车的应用与实践打下坚实基础。该文提出特定用户传感器系统框架,分析其驾驶行为对混合能量存储系统(hybrid energy storage system,HESS)如锂电池和超级电容集成的影响,并设计了一个基于大规模HESS的优化架构。它综合考虑工艺制造的差异性和实时驾驶行为的多变性等因素影响,在满足能量需求条件下优化HESS成本和使用寿命。实验结果表明:该优化架构与只采用单一锂电池作为存储资源的架构相比,在达到使用寿命年限15a前提下,混合能量存储系统的成本代价平均降低了51.3%。同时,该架构的求解速度快,有利于实际实现。
For the existing plug-in hybrid electric vehicle (PHEV) applications, existing vehicle energy storage systems have disadvantages such as bulky and poor reliability, and the driver’s driving behavior seriously affects the performance of the energy storage system Therefore, the analysis of driving behavior of specific users and the optimization design of large-scale hybrid energy storage system will lay a solid foundation for the application and practice of emerging electric-driven hybrid vehicles in the future. This paper proposes a sensor system framework for a specific user to analyze the influence of driving behavior on the hybrid energy storage system (HESS) such as the integration of lithium batteries and supercapacitors, and designs an optimized architecture based on large-scale HESS. It takes into account the differences in manufacturing process and the variability of real-time driving behavior and other factors, to meet the energy requirements to optimize the HESS cost and service life. The experimental results show that compared with the architecture using only a single lithium battery as the storage resource, the optimized architecture reduces the cost of hybrid energy storage system by 51.3% on average, reaching the service life of 15 years. At the same time, the structure of the solution speed, is conducive to the actual implementation.