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机构地区:[1]山东大学能源与动力工程学院,山东济南250061 [2]山东宝雅新能源汽车有限公司,山东济南251010
出 处:《电机与控制学报》2012年第10期86-94,共9页Electric Machines and Control
基 金:国家高技术研究发展计划(863计划)项目(2009AA11A118);山东省科技发展计划项目(2011GGX10506);山东大学研究生自主创新基金资助项目(yzc10123)
摘 要:针对济南市车辆行驶工况的实际特点,提出一种滑行和制动工况下能量回馈控制策略。基于实车测试数据,构建济南市车辆行驶工况,探讨能量回馈速度特性及控制策略的评价依据;以传统车辆滑行阻力为参考,基于能量回馈效率模型开发滑行能量回馈控制策略,并利用动态矩阵预测控制算法抑制制动转矩开始施加时引起的转矩波动;基于车轮滑动率信息开发制动能量回馈控制策略。实车测试结果表明,采用新控制策略后平均回馈效率较原车提高近30%,能耗可相对减少约10%,且在济南市车辆行驶工况下,新控制策略可有效回收工况循环中可回收最大能量的84%。An energy feedback control strategy of EV was proposed for coasting and braking processes ref erence for the characteristics of Jinan' s vehicle drivingcycle. The drivingcycle was constructed based on real vehicle data, and recoverable energy speed characteristic as well as control strategy' s evaluation ba sis was discussed. A control strategy was developed for coasting condition depending on energy feedback efficiency model and contrasting to conventional vehicles coasting resistance. Torque impact, which oc curred at torque changing sharply, was avoided by adopting dynamic matrix control (DMC). A brake en ergy feedback control strategy was designed referring to wheel slip rate. Real vehicle testing results verify that there are about 30% mean energy feedback efficiency and 10% energy consumption improvement of the new strategy over the original one, and about 84% recoverable energy has been recycled by the new strategy according to Jinan' s vehicle drivingcycle.
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