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Development of route information based driving control algorithm for a range-extended electric vehicle

机译:基于路线信息的增程电动汽车驾驶控制算法的开发

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摘要

A route information based driving control algorithm was developed for an RE-EV which consists of two motorgenerators, MG1 and MG2. A threshold power which controls the engine on/off to charge the battery was obtained by an optimization process using route information, such as the vehicle velocity and altitude. The threshold power allows the vehicle to travel to the final destination while making the final battery SOC close to SOC (low). Using the threshold power, route based control (RBC) was proposed by considering the driver's characteristics and traffic conditions using the driving data base. In addition, a relationship between the threshold power and various initial battery SOC was obtained by off-line optimization. The performance of the RBC was evaluated by simulation and human-in-the-loop simulation (HILS) for city driving. It was found from the simulation and HILS results that the RBC achieved approximately 4 % to 12 % reduction in fuel consumption compared to the existing charge depleting/charge sustaining (CD/CS) driving control.
机译:针对包含两个电动发电机MG1和MG2的RE-EV,开发了基于路线信息的驾驶控制算法。通过使用路线信息(例如车速和高度)的优化过程,获得了控制引擎开/关以对电池充电的阈值功率。阈值功率允许车辆行驶到最终目的地,同时使最终电池SOC接近SOC(低)。使用阈值功率,通过考虑驾驶者的特征和使用驾驶数据库的交通状况,提出了基于路线的控制(RBC)。另外,通过离线优化获得阈值功率与各种初始电池SOC之间的关系。 RBC的性能通过仿真和城市驾驶中的在环仿真(HILS)进行了评估。从仿真和HILS结果发现,与现有的电荷消耗/维持电荷(CD / CS)驱动控制相比,RBC的燃油消耗减少了约4%至12%。

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