scholarly journals I-SA Algorithm Based Optimization Design and Mode-Switching Strategy for a Novel 3-Axis-Simpson Dual-Motor Coupling Drive System of PEV

2021 ◽  
Vol 12 (4) ◽  
pp. 221
Author(s):  
Zhun Cheng
Keyword(s):  
Optimization Design ◽  
High Efficiency ◽  
Design Method ◽  
Drive System ◽  
Gear Train ◽  
Mode Switching ◽  
Switching Strategy ◽  
Gear Ring ◽  
The Mean ◽  
New System

Pure electric vehicle (PEV) equipped with a dual-motor coupling drive system can make full use of the high efficiency working range of the motor in order to improve vehicle efficiency. In order to further expand the application range of the system and to improve its practical application, this paper designs and proposes a new dynamic coupling drive system of three axis-double working modes, which is based on the Simpson planetary gear train. The new system adopts two planetary gears (P1 and P2), and the two sun gears of double rows, planetary carrier of P1 and gear ring of P2 are bunded. The power output of the P1 gear ring (mode 1) and P2 planetary carrier (mode 2) is realized by a controlling wet clutch. This paper adopts the linear interpolation method, least square method and 5-fold CV cross validation method to establish the full load speed characteristics and efficiency characteristics models of two motors (13 and 30 kW). This paper proposes an optimization design method based on an improved simulated annealing (I-SA) algorithm for new system parameter matching and working mode switching strategy determination. The results show that the modeling accuracy of the two motors is high, and the mean value of MAPE is 4.337%. The proposed optimization design method achieves the demand goal of PEV effectively. The I-SA algorithm has good effectiveness and fast convergence, the mean efficiency of the optimized PEV is 83.91% under all working conditions, the maximum speed is 142.56 km/h and the power utilization rate of the dual-motor is 100%. This study proposes a new hardware system and a design optimization method on software and provides a direct reference for the research of PEV drive systems by combining hardware with software.

scholarly journals Efficiency Optimization Design of L-LLC Resonant Bidirectional DC-DC Converter

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3123
Author(s):  
Jing Lu ◽  
Xiangqian Tong ◽  
Jianwu Zeng ◽  
Ming Shen ◽  
Jun Yin
Keyword(s):  
Parameter Optimization ◽  
Optimization Design ◽  
High Efficiency ◽  
Design Method ◽  
Optimization Method ◽  
Switching Loss ◽  
Intrinsic Mechanism ◽  
Parasitic Parameters ◽  
New Type ◽  
Parameter Optimization Design

The new type of L-LLC resonant bidirectional DC-DC converter (L-LLC-BDC) has merits of high efficiency, high-power density and wide gain and power ranges, and it is suitable for energy interface between energy storage systems and DC micro grid. However, the resonances are sensitive to the parasitic parameters, which will deteriorate the efficiency. This paper investigates the intrinsic mechanism of parasitic parameters on the L-LLC-BDC operating principle and working characteristics based on the analysis of working modes and resonance tank. By taking the oscillation of parasitic parameters produced in the stage for the freewheeling stage into consideration, a parameter optimization method is proposed to reduce the resonant current oscillation while maintaining the characteristic of the natural soft switching. The experiment results not only validated the proposed parameter optimization design method, but also testified to the improvement of the efficiency through the minimization of the conduction and switching loss.

Optimization Design of Coordinate Measuring Machine Based on ANSYS Software

2010 ◽  
Vol 42 ◽  
pp. 453-456
Author(s):  
Yong Gang Yan ◽  
Yan Qin Li ◽  
Zhan Kui Wang
Keyword(s):  
Optimization Design ◽  
Large Scale ◽  
High Efficiency ◽  
Design Method ◽  
Three Dimensional ◽  
Coordinate Measuring Machine ◽  
National Defense ◽  
Three Dimensional Model ◽  
Element Analysis ◽  
Measuring Machine

Coordinate measuring machine (CMM) is a large-scale geometrical detecting instrument. It is of high accuracy, high efficiency simple operation and automation. So, it can ensure the product quality for modern mechanical manufacture industry, and is widely used in the industry such as aircraft, automobile, military and national defense. However, it does not meet gradually the requirement of modern industry because of its measuring accuracy. How to monitor geometrical error rapidly and high accurately is a key research project. To solve the problem, some studies have been carried out. In this paper, a coordinate measuring machine was firstly designed by modern design method. Three dimensional model is built using PRO/E software. And some key components were optimized by using finite element analysis method. The simulating results show that the size and structure of the designed coordinate measuring machines are optimized and improved relate to previous CMM. This study will play an important instructing role for us in studying a novel CMM.

Optimization Design Method for Production Parameters of Submersible Pump Well of Polymer Flooding

2014 ◽  
Vol 997 ◽  
pp. 69-72
Author(s):  
Xian Jun Meng ◽  
Tie Xin Hou ◽  
Hai Qing Cui
Keyword(s):  
Mathematical Model ◽  
Optimization Design ◽  
System Analysis ◽  
High Efficiency ◽  
Design Method ◽  
Polymer Flooding ◽  
Design Parameters ◽  
Submersible Pump ◽  
Production Parameters ◽  
Electric Submersible Pump

Aiming at the design goal of the highest efficiency of the electric submersible pump of polymer flooding and basing on the coordination of the production system of the electric submersible pump well of polymer flooding and taking oil well productivity and parameters of electric submersible pump (displacement, lift, power) of the electric submersible pump as the design parameters, a mathematical model of the optimization design method for the production parameters of the electric submersible pump well of polymer flooding using the nodal system analysis method was established, and through the mathematical model mentioned above, the optimization design method for the production parameters of the electric submersible pump well of polymer flooding was given. The optimization design method mentioned above, taking the electric submersible pump well B1-D4-71 of Daqing Oilfield as an example, was applied. The results indicate that the method mentioned above can make the electric submersible pump work in the high efficiency area after the electric submersible pump well B1-D4-71’s being put into production.

Applied Micro Genetic Algorithm to Optimize Design Low Specific Speed Pump Impeller

2013 ◽  
Vol 816-817 ◽  
pp. 1010-1014
Author(s):  
Deng Song Li ◽  
Wen Wu Song ◽  
Fu Jie ◽  
Tian Long Wu
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
High Efficiency ◽  
Design Method ◽  
Pump Impeller ◽  
Shaft Power ◽  
Low Specific Speed ◽  
Micro Genetic Algorithm ◽  
Specific Speed ◽  
Design Deficiencies

The combination of enlarged flow design and micro-genetic algorithm constitute a new optimization design method, which be applied to optimization design of low specific speed pump impeller. It improves enlarged flow design deficiencies, and making overall performance of the pump better. The experimental results of a low specific speed centrifugal pump impeller designed by proposed method show that pump high efficiency range is extended, the hump phenomenon is eliminated, and shaft power overload phenomenon has been resolved.

Sensitivity data driven optimal design for steel frame tall buildings

2021 ◽  
Author(s):  
Chenyun Zhang ◽  
Yong Huang ◽  
Xin Zhao ◽  
Jinlun Cai
Keyword(s):  
Optimization Design ◽  
High Efficiency ◽  
Design Method ◽  
Tall Buildings ◽  
Steel Structure ◽  
Optimization Method ◽  
Sensitivity Coefficient ◽  
Optimization Techniques ◽  
Sensitivity Coefficients ◽  
Design Variables

<p>Structural design generally involves hundreds of design variables and multiple constraints in practical engineering projects, nevertheless, traditional optimization techniques are failed to meet the engineering requirements for solving the optimization problem with high efficiency and accuracy. In this paper, a single driven constraint optimization method based on constraint sensitivity is presented for high-rise steel structure. The design method takes the sensitivity coefficient as the reference index for the optimization design of components to ensure proper compliance and redundancy requirements. An effective incremental analysis method is applied for the calculation of sensitivity coefficients within constraints and design variables. Sensitivity coefficients based material redistribution of components is carried out to make the structure achieve the optimization objective on the premise of satisfying all the design constraints.</p>

scholarly journals Multi-Objective Optimization Design of a 30 kW Electro-Hydrostatic Actuator

Proceedings ◽  
2020 ◽  
Vol 64 (1) ◽  
pp. 5
Author(s):  
Chi Zhang ◽  
Xu Han ◽  
Tatiana Minav ◽  
Yongling Fu
Keyword(s):  
Optimization Design ◽  
High Efficiency ◽  
Simulation Analysis ◽  
Design Method ◽  
Power Level ◽  
Dynamic Performance ◽  
Launch Vehicles ◽  
Multi Objective Optimization ◽  
Heavy Load ◽  
Multi Objective

Electro-hydrostatic actuators (EHAs) combine the advantages of electric and hydraulic actuation, and it results in a preferable solution for heavy load actuation. The required power level of the EHA is increasing because it is being introduced to large vehicles such as submarines and heavy launch vehicles. Thus, a 30 kW EHA is under development for launch vehicles, which simultaneously require high dynamic performance, light weight, high efficiency, etc. Therefore, a dedicated multi-objective optimization design method is proposed for the preliminary design of the 30 kW EHA. In this study, firstly, the design requirements were analyzed for the launch vehicle application, and the objectives and the constraints of the optimization design were defined for the 30 kW EHA. Secondly, dedicated models were developed for evaluating each objective or constraint, including weight, bandwidth, and efficiency. Thirdly, the multi-objective EHA optimization design was implemented based on the genetic algorithm. Lastly, the optimization design results were evaluated through simulation analysis, which demonstrated that the 30 kW EHA achieved more than 10 Hz bandwidth with under 72 kg weight while the efficiency was also optimized.

Multi-Objective Robust Design of Loader Transmission Based on Genetic Algorithm

2013 ◽  
Vol 325-326 ◽  
pp. 223-227
Author(s):  
Jian Bin Wang ◽  
Ji Shu Yin
Keyword(s):  
Genetic Algorithm ◽  
Robust Optimization ◽  
Robust Design ◽  
Optimization Design ◽  
High Efficiency ◽  
Design Method ◽  
Fuzzy Theory ◽  
Fuzzy Optimization ◽  
Optimal Method ◽  
Robust Optimization Design

The fuzzy theory and robust design is applied to the optimization design of the loader transmission, and put forward the fuzzy optimization design method of loader Transmission based on the robust idea. It is established the fuzzy robust optimization design model of loader transmission which has the goal of small size and high efficiency, and finally shows the optimal method and calculation example.

Sign in / Sign up

Export Citation Format

Share Document