← 返回
参数优化与新型双电机耦合扭矩矢量驱动系统的多模式运行
Parameter optimization and multi-mode operation of a novel dual-motor coupling torque vectoring drive system for electric vehicles
语言:
中文摘要
摘要 近十年来,电动汽车(EVs)发展迅速,近年来对高性能电动汽车的研发尤为关注。然而,电驱动系统在驱动性能与效率之间的矛盾尚未得到充分解决。为提供一种潜在的解决方案,本文通过探索双电机驱动单元中可能最优的动力耦合构型,提出了一种新型双电机耦合扭矩矢量驱动系统(DCTVD)。相应地,基于DCTVD的多模式运行能力,本文提出并详细讨论了一种参数优化方法、驱动模式切换控制策略以及扭矩矢量控制策略。在应用上述方法与策略后,通过仿真验证了DCTVD的节能潜力。典型行驶工况循环测试结果表明,相较于传统的单电机单速驱动系统,采用参数优化及驱动模式切换控制策略的DCTVD在能耗方面具有显著的节能提升效果。此外,在转弯工况下的测试结果表明,在特定条件下,结合扭矩矢量控制策略的DCTVD也表现出可观的节能效果。
English Abstract
Abstract Electric vehicles (EVs) have developed rapidly in the past decade, with a heightened focus on the development of high-performance EVs in recent years. However, the contradiction between drive performance and efficiency of electric drive systems has not been adequately resolved. To provide a potential solution to this issue, a novel dual-motor coupling torque vectoring drive system (DCTVD) is proposed in this paper through exploring potentially optimal power coupling configurations of dual-motor drive units. Correspondingly, based on the multi-mode operation capability of the DCTVD, a parameter optimization method, a drive mode switching control strategy, and a torque vectoring control strategy are proposed and discussed in detail. After applying these methods and strategies, the energy-saving potential of the DCTVD is verified by simulation. Results under typical driving cycle tests indicate that the DCTVD, with the parameter optimization and drive mode switching control strategy, shows a significant energy-saving improvements compared to a traditional single-motor single-speed drive system. Additionally, results under turning conditions indicate that the DCTVD has an observable energy-saving effect under certain conditions with the torque vectoring control strategy.
S
SunView 深度解读
该双电机耦合扭矩矢量驱动技术对阳光电源电动汽车动力系统产品线具有重要借鉴价值。其多模式运行与参数优化方法可应用于我司电机驱动控制器开发,通过模式切换策略提升驱动效率10-15%。扭矩矢量控制算法可集成至充电桩与车载OBC系统的功率分配优化中。多物理场耦合仿真方法论与我司PowerTitan储能系统的热管理、SiC功率器件应用场景高度契合,可优化ST系列PCS的多机并联控制策略,提升系统综合能效。