Multi Objective Optimization Of Plug In Hybrid Electric Vehicle Phev Powertrain Families Considering Variable Drive Cycles And User Types Over The Vehicle Lifecycle
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Multi Objective Optimization Of Plug In Hybrid Electric Vehicle Phev Powertrain Families Considering Variable Drive Cycles And User Types Over The Vehicle Lifecycle
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Author : S. Ehtesham Al Hanif
language : en
Publisher:
Release Date : 2015
Multi Objective Optimization Of Plug In Hybrid Electric Vehicle Phev Powertrain Families Considering Variable Drive Cycles And User Types Over The Vehicle Lifecycle written by S. Ehtesham Al Hanif and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Plug-in Hybrid Electric vehicle (PHEV) technology has the potential to reduce operational costs, greenhouse gas (GHG) emissions, and gasoline consumption in the transportation market. However, the net benefits of using a PHEV depend critically on several aspects, such as individual travel patterns, vehicle powertrain design and battery technology. To examine these effects, a multi-objective optimization model was developed integrating vehicle physics simulations through a Matlab/Simulink model, battery durability, and Canadian driving survey data. Moreover, all the drivetrains are controlled implicitly by the ADVISOR powertrain simulation and analysis tool. The simulated model identifies Pareto optimal vehicle powertrain configurations using a multi-objective Pareto front pursuing genetic algorithm by varying combinations of powertrain components and allocation of vehicles to consumers for the least operational cost, and powertrain cost under various driving assumptions.
Hybridization And Multi Objective Optimization Of Plug In Hybrid Electric Vehicles
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Author : Shashi Kamal Shahi
language : en
Publisher:
Release Date : 2010
Hybridization And Multi Objective Optimization Of Plug In Hybrid Electric Vehicles written by Shashi Kamal Shahi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Hybrid electric vehicles categories.
Plug-in hybrid electric vehicles (PHEV), which share the characteristics of both a conventional HEV and an all-electric vehicle, rely on large storage batteries. Therefore, the characteristics and hybridization of the PHEV battery with the engine and electric motor play an important role in the design and potential adoption of PHEVs. In this research work, a multi-objective optimization approach is applied to compare the operational performance of Toyota Prius PHEV20 (PHEV for 20 miles of all electric range) based on fuel economy, operating cost, and green house gas emissions for 4480 combinations (20 batteries, 14 motors, and 16 engines). Powertrain System Analysis Toolkit software package automated with the Pareto Set Pursuing multi-objective optimization method is used for this purpose on two different drive cycles. It was found that 1) battery, motor, and engine work collectively in defining an optimal hybridization scheme; and 2) the optimal hybridization scheme varies with drive cycles.
Multi Objective Optimization Of Plug In Hev Powertrain Using Modified Particle Swarm Optimization
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Author : Omkar Parkar
language : en
Publisher:
Release Date : 2021
Multi Objective Optimization Of Plug In Hev Powertrain Using Modified Particle Swarm Optimization written by Omkar Parkar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
An increase in the awareness of environmental conservation is leading the automotive industry into the adaptation of alternatively fueled vehicles. Electric, Fuel-Cell as well as Hybrid-Electric vehicles focus on this research area with the aim to efficiently utilize vehicle powertrain as the first step. Energy and Power Management System control strategies play a vital role in improving the efficiency of any hybrid propulsion system. However, these control strategies are sensitive to the dynamics of the powertrain components used in the given system. A kinematic mathematical model for Plug-in Hybrid Electric Vehicle (PHEV) has been developed in this study and is further optimized by determining optimal power management strategy for minimal fuel consumption as well as NOx emissions while executing a set drive cycle. A multi-objective optimization using weighted sum formulation is needed in order to observe the trade-off between the optimized objectives. Particle Swarm Optimization (PSO) algorithm has been used in this research, to determine the trade-off curve between fuel and NOx. In performing these optimizations, the control signal consisting of engine speed and reference battery SOC trajectory for a 2-hour cycle is used as the controllable decision parameter input directly from the optimizer. Each element of the control signal was split into 50 distinct points representing the full 2 hours, giving slightly less than 2.5 minutes per point, noting that the values used in the model are interpolated between the points for each time step. With the control signal consisting of 2 distinct signals, speed, and SOC trajectory, as 50 element time-variant signals, a multidimensional problem was formulated for the optimizer. Novel approaches to balance the optimizer exploration and convergence, as well as seeding techniques are suggested to solve the optimal control problem. The optimization of each involved individual runs at 5 different weight levels with the resulting cost populations being compiled together to visually represent with the help of Pareto front development. The obtained results of simulations and optimization are presented involving performances of individual components of the PHEV powertrain as well as the optimized PMS strategy to follow for a given drive cycle. Observations of the trade-off are discussed in the case of Multi-Objective Optimizations.
Modeling And Design Optimization Of Plug In Hybrid Electric Vehicle Powertrains
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Author : Maryyeh Chehresaz
language : en
Publisher:
Release Date : 2013
Modeling And Design Optimization Of Plug In Hybrid Electric Vehicle Powertrains written by Maryyeh Chehresaz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Hybrid electric vehicles (HEVs) were introduced in response to rising environmental challenges facing the automotive sector. HEVs combine the benefits of electric vehicles and conventional internal combustion engine vehicles, integrating an electrical system (a battery and an electric motor) with an engine to provide improved fuel economy and reduced emissions, while maintaining adequate driving range. By comparison with conventional HEVs, plug-in hybrid electric vehicles (PHEVs) have larger battery storage systems and can be fully charged via an external electric power source such as the electrical grid. Of the three primary PHEV architectures, power-split architectures tend to provide greater efficiencies than parallel or series systems; however, they also demonstrate more complicated dynamics. Thus, in this research project, the problem of optimizing the component sizes of a power-split PHEV was addressed in an effort to exploit the flexibility of this powertrain system and further improve the vehicle's fuel economy, using a Toyota plug-in Prius as the baseline vehicle. Autonomie software was used to develop a vehicle model, which was then applied to formulate an optimization problem for which the main objective is to minimize fuel consumption over standard driving cycles. The design variables considered were: the engine's maximum power, the number of battery cells and the electric motor's maximum power. The genetic algorithm approach was employed to solve the optimization problem for various drive cycles and an acceptable reduction in fuel consumption was achieved thorough the sizing process. The model was validated against a MapleSim model. This research project successfully delivered a framework that integrates an Autonomie PHEV model and genetic algorithm optimization and can be used to address any HEV parameter optimization problem, with any objective, constraints, design variables and optimization parameters.
Plug In Hybrid Electric Vehicle Phev
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Author : Joeri Van Mierlo
language : en
Publisher: MDPI
Release Date : 2019-08-27
Plug In Hybrid Electric Vehicle Phev written by Joeri Van Mierlo and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-27 with Technology & Engineering categories.
Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on “Plug-In Hybrid Electric Vehicles (PHEVs)”. This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems.
Concurrent Multi Objective Optimization Of Plug In Parallel Hev By A Hybrid Evolution Algorithm
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Author : Qing Wang
language : en
Publisher:
Release Date : 2007
Concurrent Multi Objective Optimization Of Plug In Parallel Hev By A Hybrid Evolution Algorithm written by Qing Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Design And Optimization Of Hybrid Electric Vehicle Drivetrain And Control Strategy Parameters Using Evolutionary Algorithms
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Author : Chirag Desai
language : en
Publisher:
Release Date : 2010
Design And Optimization Of Hybrid Electric Vehicle Drivetrain And Control Strategy Parameters Using Evolutionary Algorithms written by Chirag Desai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Advanced propulsion technologies such as hybrid electric vehicles (HEVs) have demonstrated improved fuel economy with lower emissions compared to conventional vehicles. Superior HEV performance in terms of higher fuel economy and lower emissions, with satisfaction of driving performance, necessitates a careful balance of drivetrain component design as well as control strategy parameter monitoring and tuning. In this thesis, an evolutionary global optimization-based derivative-free, multi-objective genetic algorithm (MOGA) is proposed, to optimize the component sizing of a NOVA® parallel hybrid electric transit bus drivetrain. In addition, the proposed technique has been extended to the design of an optimal supervisory control strategy for effective on-board energy management. The proposed technique helps find practical trade off-solutions for the objectives. Simulation test results depict the tremendous potential of the proposed optimization technique in terms of improved fuel economy and lower emissions (nitrous-oxide, NOx, carbon monoxide, CO, and hydrocarbons, HC). The tests were conducted under varying drive cycles and control strategies.
Electric And Plug In Hybrid Vehicle Networks
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Author : Emanuele Crisostomi
language : en
Publisher: CRC Press
Release Date : 2017-10-30
Electric And Plug In Hybrid Vehicle Networks written by Emanuele Crisostomi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-30 with Technology & Engineering categories.
This book explores the behavior of networks of electric and hybrid vehicles. The topics that are covered include: energy management issues for aggregates of plug-in vehicles; the design of sharing systems to support electro-mobility; context awareness in the operation of electric and hybrid vehicles, and the role that this plays in a Smart City context; and tools to test and design massively large-scale networks of such vehicles. The book also introduces new and interesting control problems that are becoming prevalent in the EV-PHEV's context, as well as identifying some open questions. A particular focus of the book is on the opportunities afforded by networked actuation possibilities in electric and hybrid vehicles, and the role that such actuation may play in air-quality and emissions management.
Reinforcement Learning Enabled Intelligent Energy Management For Hybrid Electric Vehicles
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Author : Teng Liu
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2019-09-03
Reinforcement Learning Enabled Intelligent Energy Management For Hybrid Electric Vehicles written by Teng Liu and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Technology & Engineering categories.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles. Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application. In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Energy Management Strategies For Electric And Plug In Hybrid Electric Vehicles
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Author : Sheldon S. Williamson
language : en
Publisher:
Release Date : 2013-11-30
Energy Management Strategies For Electric And Plug In Hybrid Electric Vehicles written by Sheldon S. Williamson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-30 with categories.