Facilitating model-based design through multiobjective global optimization for next generation hybrid electric vehicles and efficient 5-axis CNC machining of curved surfaces

复杂产品的创新设计和巧妙制造方法的创造，如新一代混合动力汽车(HEV)动力总成系统的开发，以及曲面模具五轴数控加工中最优刀具路径的自动生成，严重依赖于基于高级模型的设计(MBD)、仿真和优化。这项研究解决了混合动力汽车动力总成开发中的基本设计问题，以及生成高效五轴数控刀具路径的瓶颈规划问题。 提出的工作将：(A)将新的基于元模型的全局优化(MB-OP)方法扩展到多目标优化(MOO)，并使用基准MOO问题和混合动力总成设计案例研究来测试新算法；(B)通过改进的混合动力总成部件和结构模型，将MBD和基于元模型的多目标全局优化相结合，建立新的混合动力总成设计范式；(C)通过硬件在环仿真和车辆试验来验证新的混合动力总成模型和优化结果；以及(D)将我们的通用、高效和高质量零件生产五轴数控加工方法扩展到全球最佳的五轴数控刀具路径/刀具定位解决方案。 该研究将引入新的计算设计方法；更好地了解多工况混合动力总成架构和控制策略；建立和维护世界一流的绿色汽车技术研究计划、团队和设施；并不断吸引和培训高素质人才(HQP)。拟议的工作将为我们在绿色汽车、绿色船舶和EcoCAR发展方面蓬勃发展的研究增添动力，并为更广泛和深入的研究和工业应用奠定基础。这项研究将使加拿大和北美一体化的汽车和制造业受益。

Innovative design of complex products and creation of ingenious manufacturing methods, such as the development of next generation hybrid electric vehicle (HEV) powertrain system and the automated generation of optimal toolpaths in 5-axis CNC machining of dies and moulds with curved surfaces, heavily rely on advanced model based design (MBD), simulation and optimization. This research addresses the fundamental design issues in HEV powertrain developments and the bottleneck planning problem in generating efficient 5-Axis CNC toolpaths. The proposed work will: (a) extend our new efficient and robust metamodel-based global optimization (MB-OP) methods into multi-objective optimization (MOO) and test the new algorithms using benchmark MOO problems and HEV powertrain design case studies; (b) establish a new hybrid powertrain design paradigm by integrating MBD and metamodel-based multi-objective global optimization through improved hybrid powertrain component and architecture models; (c) validate the new hybrid powertrain models and optimization results using hardware-in-loop simulation and vehicle tests; and (d) extend our generic, highly efficient and high-quality part producing 5-axis CNC machining method to globally optimal 5-axis CNC tool path/cutter orientation solutions. The research will introduce a new computational design methodology; gain better understanding on the multi-regime hybrid powertrain architectures and control strategies; build and maintain a world-class green vehicle technology research program, team, and facilities; and continuously attract and train highly qualified personnel (HQP). The proposed work will add momentum to our thriving research on green vehicle, green ship and EcoCAR developments, and form the foundation for broader and further research and industrial applications. The research will benefit Canada and the integrated North American automotive and manufacturing industry.