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首页> 外文会议>IFAC Symposium on Advances in Automotive Control >A NOVEL ALGORITHM FOR PREDICTIVE CONTROL OF PARALLEL HYBRID POWERTRAINS BASED ON DYNAMIC PROGRAMMING
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A NOVEL ALGORITHM FOR PREDICTIVE CONTROL OF PARALLEL HYBRID POWERTRAINS BASED ON DYNAMIC PROGRAMMING

机译：一种基于动态规划的并联混合动力驱动预测控制的新算法

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摘要

A novel algorithm for predictive control of parallel hybrid vehicle powertrains is presented. The algorithm uses information from GPS and digital maps to schedule the use of the energy buffer along the planned route. The algorithm is based on dynamic programming and achieves close to the theoretical minimal consumption when simulated on measured drive data. For simulated routes with a topographic profile that contains large hills the fuel consumption savings compared to a competitive non predictive controller are 6%. For simulated routes with a more moderate topographic profile the savings are between 2-3% and for routes with completely flat topographic profile the savings are only between 0.5-2%.
机译：提出了一种新颖的平行混合动力车辆动力学预测控制算法。该算法使用来自GPS和数字地图的信息来安排沿计划路线的能量缓冲器的使用。该算法基于动态编程，并且在测量的驱动数据上模拟时靠近理论最小消耗。对于具有地形配置文件的模拟路线，其中包含大型山丘的燃料消耗节省与竞争性的非预测控制器相比为6％。对于具有更温和地地形配置文件的模拟路线，节省的介于2-3％之间，对于具有完全平坦的地形配置文件的路线，节省仅在0.5-2％之间。

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