Aiming at the development of parallel hybrid electric vehicle （PHEV） powertrain, parameter matching and optimization are presented, According to the performance of PHEV, the optimization range of engine, motor, driv...Aiming at the development of parallel hybrid electric vehicle （PHEV） powertrain, parameter matching and optimization are presented, According to the performance of PHEV, the optimization range of engine, motor, driveline gear ratio and battery parameters are determined. And then a two-level optimization problem is formulated based on analytical target cascading （ATC）. At the system level, the optimization of the whole vehicle fuel economy is carried out, while the tractive performance is defined as the constraints. The optimized parameters are cascaded to the subsystem as the optimization targets. At the subsystem level, the final drive and transmission design are optimized to make the ratios as close to the targets as possible. The optimization result shows that the fuel economy had improved significantly, while the tractive performance maintains the former level.展开更多
Lightweight designs of new-energy vehicles can reduce energy consumption,thereby improving driving mileage.In this study,a lightweight design of a newly developed multi-material electric bus body structure is examined...Lightweight designs of new-energy vehicles can reduce energy consumption,thereby improving driving mileage.In this study,a lightweight design of a newly developed multi-material electric bus body structure is examined in combination with analytical target cascading(ATC).By proposing an ATC-based two-level optimization strategy,the original lightweight design problem is decomposed into the system level and three subsystem levels.The system-level optimization model is related to mass minimization with all the structural modal frequency constraints,while each subsystem-level optimization model is related to the sub-structural performance objective with sub-structure mass constraints.To enhance the interaction between two-level systems,each subsystem-level objective is reformulated as a penalty-based function coordinated with the system-level objective.To guarantee the accuracy of the model-based analysis,a finite element model is validated through experimental modal test.A sequential quadratic programming algorithm is used to address the defined optimization problem for effective convergence.Compared with the initial design,the total mass is reduced by 49 kg,and the torsional stiffness is increased by 17.5%.In addition,the obtained design is also validated through strength analysis.展开更多
文摘Aiming at the development of parallel hybrid electric vehicle （PHEV） powertrain, parameter matching and optimization are presented, According to the performance of PHEV, the optimization range of engine, motor, driveline gear ratio and battery parameters are determined. And then a two-level optimization problem is formulated based on analytical target cascading （ATC）. At the system level, the optimization of the whole vehicle fuel economy is carried out, while the tractive performance is defined as the constraints. The optimized parameters are cascaded to the subsystem as the optimization targets. At the subsystem level, the final drive and transmission design are optimized to make the ratios as close to the targets as possible. The optimization result shows that the fuel economy had improved significantly, while the tractive performance maintains the former level.
基金supported by the National Natural Science Foundation of China (Grant No.51805032).
文摘Lightweight designs of new-energy vehicles can reduce energy consumption,thereby improving driving mileage.In this study,a lightweight design of a newly developed multi-material electric bus body structure is examined in combination with analytical target cascading(ATC).By proposing an ATC-based two-level optimization strategy,the original lightweight design problem is decomposed into the system level and three subsystem levels.The system-level optimization model is related to mass minimization with all the structural modal frequency constraints,while each subsystem-level optimization model is related to the sub-structural performance objective with sub-structure mass constraints.To enhance the interaction between two-level systems,each subsystem-level objective is reformulated as a penalty-based function coordinated with the system-level objective.To guarantee the accuracy of the model-based analysis,a finite element model is validated through experimental modal test.A sequential quadratic programming algorithm is used to address the defined optimization problem for effective convergence.Compared with the initial design,the total mass is reduced by 49 kg,and the torsional stiffness is increased by 17.5%.In addition,the obtained design is also validated through strength analysis.
