Equitable Multi-Objective Optimization Applied to the Design of a Hybrid Electric Vehicle Battery

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Brian Dandurand ◽  
Paolo Guarneri ◽  
Georges Fadel ◽  
Margaret M. Wiecek
Keyword(s):  
Thermal Behavior ◽  
Hybrid Electric Vehicle ◽  
Multi Objective Optimization ◽  
Premature Failure ◽  
Multi Objective ◽  
Battery Design ◽  
Electric Vehicle Battery ◽  
The Impact ◽  
Battery Module ◽  
The Ideal

This work considers the impact of thermal behavior in battery design. The cell performance worsens when the operating temperature falls outside of the ideal range, and evenness of cell temperatures is sought to prevent cell electrical unbalance which may lead to performance fading and premature failure. The heat transfer between the cells and the coolant depends on the cell packaging and layout. A multi-objective optimization model is posed whose Pareto efficient designs minimize cell temperature deviations while maintaining evenness of temperature distribution. The special characteristics of the battery design problem (comparable objectives, anonymity and Pigou–Dalton principle of transfers) make it suitable for the application of the equitability preference, which is a refinement of the Pareto optimality that has not been used in engineering design. The proposed approach based on equitability is applied to compute the spacing of the cylindrical cells in a battery module that yields an optimal thermal behavior.

scholarly journals Impact of Social Welfare Metrics on Energy Allocation in Multi-Objective Optimization

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2961
Author(s):  
Anders Clausen ◽  
Aisha Umair ◽  
Yves Demazeau ◽  
Bo Nørregaard Jørgensen
Keyword(s):  
Resource Allocation ◽  
Social Welfare ◽  
Energy Demand ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Multi Objective Optimization ◽  
Multi Agent Systems ◽  
Multi Objective ◽  
Pareto Sets ◽  
The Impact

Resource allocation problems are at the core of the smart grid where energy supply and demand must match. Multi-objective optimization can be applied in such cases to find the optimal allocation of energy resources among consumers considering energy domain factors such as variable and intermittent production, market prices, or demand response events. In this regard, this paper considers consumer energy demand and system-wide energy constraints to be individual objectives and optimization variables to be the allocation of energy over time to each of the consumers. This paper considers a case in which multi-objective optimization is used to generate Pareto sets of solutions containing possible allocations for multiple energy intensive consumers constituted by commercial greenhouse growers. We consider the problem of selecting a final solution from these Pareto sets, one of maximizing the social welfare between objectives. Social welfare is a set of metrics often applied to multi-agent systems to evaluate the overall system performance. We introduce and apply social welfare ordering using different social welfare metrics to select solutions from these sets to investigate the impact of the type of social welfare metric on the optimization outcome. The results of our experiments indicate how different social welfare metrics affect the optimization outcome and how that translates to general resource allocation strategies.

Use of nonlinear asymmetrical shock absorbers in multi-objective optimization of the suspension system in a variety of road excitations

2016 ◽  
Vol 231 (2) ◽  
pp. 372-387 ◽  
Author(s):  
Abolfazl Seifi ◽  
Reza Hassannejad ◽  
Mohammad Ali Hamed
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Low Cost ◽  
Suspension System ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Vehicle Handling ◽  
Multi Objective ◽  
Shock Absorbers ◽  
The Impact

In this study, a new method to improve ride comfort, vehicle handling, and workspace was presented in multi-objective optimization using nonlinear asymmetrical dampers. The main aim of this research was to provide suitable passive suspension based on more efficiency and the low cost of the mentioned dampers. Using the model with five degrees of freedom, suspension system parameters were optimized under sinusoidal road excitation. The main functions of the suspension system were chosen as objective functions. In order to better illustrate the impact of each objective functions on the suspension parameters, at first two-objective and finally five-objective were considered in the optimization problem. The obtained results indicated that the optimized viscous coefficients for five-objective optimization lead to 3.58% increase in ride comfort, 0.74% in vehicle handling ability, and 2.20% in workspace changes for the average of forward and rear suspension.

scholarly journals A Surrogate Assisted Multi-objective Approach to Social Work Planning

2021 ◽  
Author(s):  
Dinh Duc Nguyen ◽  
Long Nguyen ◽  
Hoai Xuan Nguyen ◽  
Minh Binh Tran
Keyword(s):  
Disease Prevention ◽  
Multi Objective Optimization ◽  
Research Issues ◽  
Social Mission ◽  
Multi Objective ◽  
Social Tasks ◽  
The Government ◽  
Global Exploitation ◽  
Guidance Technique ◽  
The Impact

Abstract Planning social tasks are essential jobs of every organization, business, and government. With increasing challenges of society, the organization and effective implementation depend on optimizing the plans of the organization and efficient operations of the professional teams in order, time, and specific requirements. In the context of the impact of the COVID-19 pandemic on social activities, developing strategies for the organization and operation of working teams in implementing disease prevention, control, and elimination are research issues that should be raised. This paper model the plan to organize and operate the social-mission working group problem with a multi-objective approach. The problem includes organizing and planning the health workforce to perform tasks in epidemic prevention and implementing guidelines of the Ministry of Health under the administration of the government. These pose a requirement to balance resources, medical equipment, and ancillary equipment to perform tasks according to different priority levels: disease prevention; vaccination; sterilization, isolation, treatment by different locations, and time to ensure effectiveness. The problem is modeled by approaching the multi-objective optimization with three objectives: makespan, performance efficiency, and rate of human resource usage. We also propose a guidance technique to improve the surrogate-assisted multi-objective optimization algorithms on analyzing the factors that influence finding solutions and maintain a balance between local exploration and global exploitation. The enhanced algorithms confirm the proposed model for social tasks against the COVID-19 pandemic.

scholarly journals A Multi-Objective Model-Based Vertical Handoff Algorithm for Heterogeneous Wireless Networks

2020 ◽  
Author(s):  
Shumin Wang ◽  
Honggui Deng ◽  
Rujing Xiong ◽  
Gang Liu ◽  
Yang Liu ◽  
...  
Keyword(s):  
Optimization Model ◽  
Heterogeneous Wireless Networks ◽  
Base Station ◽  
Vertical Handoff ◽  
Chain Model ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Network State ◽  
Blocking Rate ◽  
The Impact

Abstract An optimized algorithm based on multi-objective optimization model is proposed to solve the problem that existing vertical handoff algorithms do not comprehensively consider the impact of users and the network during handoff process. We build Markov chain model of base station to calculate a more accurate network state. Then a multi-objective optimization model is derived to maximize the value of the network state and the user data receiving rate. The multi-objective genetic algorithm NSGA-II is finally employed to turn the model into a final vertical handoffff strategy. The results of the simulation for throughput and blocking rate of networks demonstrate our algorithm significantly increases the system throughput and reduces the blocking rate compared with the existing vertical switching strategy.

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