Next generation chevy volt electric machines; design, optimization and control for performance and rare-earth mitigation

2015 ◽  
Author(s):  
Sinisa Jurkovic ◽  
Khwaja Rahman ◽  
Bonho Bae ◽  
Nitin Patel ◽  
Peter Savagian
Keyword(s):  
Rare Earth ◽  
Design Optimization ◽  
Electric Machines ◽  
Next Generation ◽  
Optimization And Control ◽  
And Control

scholarly journals Innovative Computational Tools and Models for the Design, Optimization and Control of Carbon Capture Processes

2017 ◽  
pp. 311-342 ◽  
Author(s):  
David C. Miller ◽  
Deb Agarwal ◽  
Debangsu Bhattacharyya ◽  
Joshua Boverhof ◽  
Yang Chen ◽  
...  
Keyword(s):  
Design Optimization ◽  
Carbon Capture ◽  
Computational Tools ◽  
Optimization And Control ◽  
And Control

Control and Design Optimization of a Novel Hybrid Electric Powertrain System

2017 ◽  
Author(s):  
Chenyu Yi ◽  
Bogdan Epureanu
Keyword(s):  
Optimal Control ◽  
Design Optimization ◽  
Fuel Economy ◽  
Optimization Problems ◽  
Computational Cost ◽  
Electric Machines ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain ◽  
And Control ◽  
Electric Powertrains

Control and design optimization of hybrid electric powertrains is necessary to maximize the benefits of novel architectures. Previous studies have proposed multiple optimal and near-optimal control methods, approaches for design optimization, and ways to solve coupled design and control optimization problems for hybrid electric powertrains. This study presents control and design optimization of a novel hybrid electric powertrain architecture to evaluate its performance and potential using physics-based models for the electric machines, the battery and a near-optimal control, namely the equivalent consumption minimization strategy. Design optimization in this paper refers to optimizing the sizes of the powertrain components, i.e. electric machines, battery and final drive. The control and design optimization problem is formulated using nested approach with sequential quadratic programming as design optimization method. Metamodeling is applied to abstract the near-optimal powertrain control model to reduce the computational cost. Fuel economy, sizes of components, and consistency of city and highway fuel economy are reported to evaluate the performance of the powertrain designs. The results suggest an optimal powertrain design and control that grants good performance. The optimal design is shown to be robust and non-sensitive to slight component size changes when evaluated for the near-optimal control.

Design Optimization and Control Analysis of Mechanical Arm Equipped on Wheelchair

2014 ◽  
Vol 983 ◽  
pp. 363-367
Author(s):  
Gui Bin Luo ◽  
Can Can Zeng ◽  
Li Da Zhu
Keyword(s):  
Design Optimization ◽  
Motion Control ◽  
Linear Interpolation ◽  
Assistive Devices ◽  
Control Analysis ◽  
Kinematics Analysis ◽  
Key Points ◽  
Optimization And Control ◽  
Strength And Stiffness ◽  
And Control

Aiming at the phenomenon that our country has a large number of disabled due to illness or accident while the corresponding assistive devices is extremely deficient, we have designed a kind of mechanical arm which is intended to be equipped on wheelchair. We adopt articulated mechanical arm with multi-DOF as its mechanical structure, and choose MCU as the main controller; therefore it can make all kinds of flexible action to achieve a variety of functions. In order to improve the accuracy of manipulator, based on experimental results, we optimize the mechanical arm’s structure, improving its strength and stiffness; in order to realize the motion control of the manipulator, the kinematics analysis is conducted, when solving the mechanical arm’s anthropomorphic action problem, we set key points and then optimize the trajectory with linear interpolation, at last achieve anthropomorphic movement.

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