Power Split Hybrid Configurations for Human-Powered Vehicles

2014 ◽  
Author(s):  
I-Ming Chen ◽  
Chiao-Ting Li ◽  
Huei Peng
Keyword(s):  
Oxygen Consumption ◽  
Optimal Design ◽  
Optimization Problem ◽  
Substantial Reduction ◽  
Electric Machine ◽  
Programming Technique ◽  
Systematic Analysis ◽  
Analysis And Design ◽  
Power Split ◽  
Human Powered

This paper presents systematic analysis and design of power split hybrid configurations using a single planetary gearset and two electric machines for human-powered vehicles. In our design methodology, the cyclist is treated as an integrated part of the powertrain, and the cyclist’s power output is augmented by the battery power, instead of being completely replaced. To obtain the optimal design, all the 12 possible power split hybrid configurations are investigated, and several performance indices, including the cyclist’s oxygen consumption, stamina reduction, and pedaling speed preference, are considered in the optimization problem to evaluate the bicycle design. The dynamic programming technique is used to solve the optimization problem. The optimal design, HyBike-i2, has the pedal connected to the carrier gear and one electric machine to the ring gear on the planetary gearset. The other electric machine and the driven wheel are connected to the sun gear. This design outperforms the normal bicycle (no power assist) and two traditional electric bicycles, and achieves substantial reduction in both the cyclist’s stamina discharge and oxygen consumption when the vehicle operates in the charge-sustaining mode.

Optimal design of electric machine using genetic algorithms coupled with direct method

1999 ◽  
Vol 35 (3) ◽  
pp. 1742-1745 ◽  
Author(s):  
Yong-Hwan Oh ◽  
Tae-Kyung Chung ◽  
Min-Kyu Kim ◽  
Hyun-Kyo Jung
Keyword(s):  
Genetic Algorithms ◽  
Optimal Design ◽  
Direct Method ◽  
Electric Machine

A Displacement-Based Optimal Design Method of RC Frames Subjected to Minor Earthquakes

2012 ◽  
Vol 594-597 ◽  
pp. 795-799
Author(s):  
Gui Tao Chen ◽  
De Min Wei
Keyword(s):  
Optimal Design ◽  
Optimization Design ◽  
Virtual Work ◽  
Design Method ◽  
Horizontal Displacement ◽  
Target Displacement ◽  
Programming Technique ◽  
Direct Displacement Based Design ◽  
Rc Frames ◽  
Displacement Based

A displacement-based optimization design method of RC structure was proposed by combining direct displacement-based design method with nonlinear programming technique. To avert the influence of target displacement, the stationary constraint displacement was presented, and the target displacement can be updated during the optimal design process. Principle of virtual work and Gaussian integral method was employed to simplify the explicit relationship between horizontal displacement and the section dimension. Comparison analysis of the local optimal results corresponding to different displacement shapes was conducted to achieve global optimal design. The numerical tests presented demonstrate the computational advantages of the discussed methods and suggesting that the proposed method is a reliably and efficiently tool for displacement-based optimal design.

scholarly journals Optimal design of a DC MHD pump by simulated annealing method

2014 ◽  
Vol 11 (2) ◽  
pp. 339-350
Author(s):  
Khadidja Bouali ◽  
Fatima Kadid ◽  
Rachid Abdessemed
Keyword(s):  
Simulated Annealing ◽  
Optimal Design ◽  
Objective Function ◽  
Design Problem ◽  
Design Methodology ◽  
Optimization Problem ◽  
Optimization Procedure ◽  
Simulated Annealing Method ◽  
Direct Interpretation ◽  
Annealing Method

In this paper a design methodology of a magnetohydrodynamic pump is proposed. The methodology is based on direct interpretation of the design problem as an optimization problem. The simulated annealing method is used for an optimal design of a DC MHD pump. The optimization procedure uses an objective function which can be the minimum of the mass. The constraints are both of geometrics and electromagnetic in type. The obtained results are reported.

scholarly journals An Experimental Set Up For Optimal Design Of A Human Powered Hydraulic Bicycle

2020 ◽  
Author(s):  
Alamgir Choudhury ◽  
Pavel Ikonomov ◽  
Jorge Rodriguez
Keyword(s):  
Optimal Design ◽  
Set Up ◽  
Human Powered

scholarly journals Multiobjective optimal design of reinforced concrete frames using two metaheuristic algorithms

2021 ◽  
Vol 9 (4B) ◽  
Author(s):  
Mehdi Babaei ◽  
◽  
Masoud Mollayi ◽  
Keyword(s):  
Reinforced Concrete ◽  
Optimal Design ◽  
Optimization Problem ◽  
Numerical Models ◽  
Steel Structures ◽  
Metaheuristic Algorithms ◽  
Rc Structures ◽  
Weighted Sum Method ◽  
Rc Frames ◽  
Single Objective

Genetic algorithm (GA) and differential evolution (DE) are metaheuristic algorithms that have shown a favorable performance in the optimization of complex problems. In recent years, only GA has been widely used for single-objective optimal design of reinforced concrete (RC) structures; however, it has been applied for multiobjective optimization of steel structures. In this article, the total structural cost and the roof displacement are considered as objective functions for the optimal design of the RC frames. Using the weighted sum method (WSM) approach, the two-objective optimization problem is converted to a single-objective optimization problem. The size of the beams and columns are considered as design variables, and the design requirements of the ACI-318 are employed as constraints. Five numerical models are studied to test the efficiency of the GA and DE algorithms. Pareto front curves are obtained for the building models using both algorithms. The detailed results show the accuracy and convergence speed of the algorithms.

Optimal Design of Semisubmersible’s Form Based on Systems Analysis

1984 ◽  
Vol 106 (4) ◽  
pp. 524-530 ◽  
Author(s):  
S. Akagi ◽  
R. Yokoyama ◽  
K. Ito
Keyword(s):  
Optimal Design ◽  
Computer Aided Design ◽  
Optimization Problem ◽  
Design Method ◽  
Gradient Algorithm ◽  
Interpretive Structural Modeling ◽  
Reduced Gradient ◽  
Optimal Design Method ◽  
Generalized Reduced Gradient ◽  
Aided Design

With the objective of developing a computer-aided design method to seek the optimal semisubmersible’s form, hierarchical relationships among many design objectives and conditions are investigated first based on the interpretive structural modeling method. Then, an optimal design method is formulated as a nonlinear multiobjective optimization problem by adopting three mutually conflicting design objectives. A set of Pareto optimal solutions is derived numerically by adopting the generalized reduced gradient algorithm, and it is ascertained that the designer can determine the optimal form more rationally by investigating the trade-off relationships among design objectives.

Applications of Symbolic Computing for Numerical Analysis of Mechanical Systems

1989 ◽  
Author(s):  
H. Ashrafiuon ◽  
N. K. Mani
Keyword(s):  
Numerical Analysis ◽  
Optimal Design ◽  
System Dynamics ◽  
Multibody System ◽  
Computing System ◽  
General Purpose ◽  
Kinematic Constraints ◽  
Symbolic Computing ◽  
Analysis And Design ◽  
Construct System

Abstract The symbolic computing system MACSYMA is used to automatically generate the explicit equations necessary to represent the kinematic constraints and system dynamics and to compute the design sensitivities for optimal design of any multibody system. The logic to construct system matrices and vectors involved in the analysis and design equations is implemented as general purpose MACSYMA programs. All necessary manipulations are performed by MACSYMA and the equations are output as FORTRAN statements that can be compiled and executed. This approach results in a computational saving of up to 95% compared to using a general purpose programs. The approach is general in nature and is applicable to any multibody system. Examples are presented to demonstrate the effectiveness of the approach.

Analysis and Optimal Design of Spatial Mechanical Systems

1987 ◽  
Author(s):  
H. Ashrafeiuon ◽  
N. K. Mani
Keyword(s):  
Sensitivity Analysis ◽  
Optimal Design ◽  
Dynamic Analysis ◽  
Equations Of Motion ◽  
Mechanical Systems ◽  
Design Sensitivity ◽  
General Purpose ◽  
Design Sensitivity Analysis ◽  
Analysis And Design ◽  
Spatial Systems

Abstract This paper presents a new approach to optimal design of large multibody spatial mechanical systems. This approach uses symbolic computing to generate the necessary equations for dynamic analysis and design sensitivity analysis. Identification of system topology is carried out using graph theory. The equations of motion are formulated in terms of relative joint coordinates through the use of velocity transformation matrix. Design sensitivity analysis is carried out using the Direct Differentiation method applied to the relative joint coordinate formulation for spatial systems. Symbolic manipulation programs are used to develop subroutines which provide information for dynamic and design sensitivity analysis. These subroutines are linked to a general purpose computer program which performs dynamic analysis, design sensitivity analysis, and optimization. An example is presented to demonstrate the efficiency of the approach.

scholarly journals Study on the Design of an Underwater Chain Trencher via a Genetic Algorithm

2019 ◽  
Vol 7 (12) ◽  
pp. 429
Author(s):  
Jaebum Kim ◽  
O Soon Kwon ◽  
Nguyen Le Dang Hai ◽  
Jin Hwan Ko
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Parametric Analysis ◽  
Optimization Problem ◽  
Soft Rock ◽  
Analytic Model ◽  
Multi Objective Optimization ◽  
Nose Radius ◽  
Performance Requirements ◽  
Parametric Studies

In this study, a genetic algorithm (GA) with an analytic model is adopted to conduct multi-objective optimization for design of an underwater chain trencher. The optimization problem is defined as minimizing a product of the chain power and weight subject to the uniaxial compressive strength, coefficient of traction, bar length (L), nose radius (R) and ratio of the chipping depth over the spacing (l/S), of which the ranges are determined based on the specifications of commercial trenchers satisfying established performance requirements and previous parametric studies. It is found that an optimal design of the GA was obtained with L and l/S close to their low bound and R far from its low bound while that of a simple parametric analysis was acquired with the three parameters close to their low bounds. Moreover, in the most severe soft rock and traction conditions, the power and weight in the optimal design obtained by the GA are turn to be within the feasible ranges of targeted commercial trenchers.

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