Energy Management Strategies And Evaluation For Plug In Electric Vehicles On And Off The Road
DOWNLOAD
Download Energy Management Strategies And Evaluation For Plug In Electric Vehicles On And Off The Road PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Energy Management Strategies And Evaluation For Plug In Electric Vehicles On And Off The Road book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Energy Management Strategies And Evaluation For Plug In Electric Vehicles On And Off The Road
DOWNLOAD
Author : Guanchen Zhang
language : en
Publisher:
Release Date : 2017
Energy Management Strategies And Evaluation For Plug In Electric Vehicles On And Off The Road written by Guanchen Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Electric vehicle (EV) industries are driven by new technologies in batteries and powertrains. This thesis studies the cutting-edge Formula E racing vehicles with vehicle simulation and optimization for energy efficiency. On the consumer side, a new challenge EVs introduce is the need for large-scale charging infrastructure with minimum grid impact. This thesis studies EV charging management on the daily basis, featuring practical smart charging solutions at public locations and bi-directional (dis)charging at workplace and residence. Techniques that support smart charging are also studied. A data-mining based load disaggregation approach is developed to evaluate the general energy usage in the residential context. A machine-learning based load forecasting model is proposed to predict short-term residential loads in ultra-small scales. Overall, this thesis anticipates every aspect of EVs' daily activities, whether it is on or off the road, and suggests solutions to maximizing EV utilization for both drivers and the smart grid.
Development And Evaluation Of Intelligent Energy Management Strategies For Plug In Hybrid Electric Vehicles
DOWNLOAD
Author : Guoyuan Wu
language : en
Publisher:
Release Date : 2012
Development And Evaluation Of Intelligent Energy Management Strategies For Plug In Hybrid Electric Vehicles written by Guoyuan Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Automobiles categories.
In this study, we proposed an intelligent energy management strategy for plug-in hybrid electric vehicles. At the trip level, the strategy takes into account a priori knowledge of vehicle location, roadway characteristics, and real-time traffic information on the travel route from intelligent transportation system technologies in generating synthesized velocity trajectory for the trip. The synthesized velocity trajectory is then used to determine charge-depleting control that is formulated as a mixed integer linear programming to minimize the total fuel consumption for the trip. The strategy can be extended to optimize fuel consumption at the tour level if a pre-planned travel itinerary for the tour and the information about available battery recharging opportunities at intermediate stops in the tour are available. The effectiveness of the proposed strategy, both for the trip-based and tour-based controls, was evaluated against the existing binary mode energy management strategy using a real-world example trip/tour in Southern California. The evaluation results show that the fuel savings of the proposed strategy over the binary mode strategy are around 10-15%.
Energy Management Strategies For Electric And Plug In Hybrid Electric Vehicles
DOWNLOAD
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.
Development Of A Fuel Cell Plug In Hybrid Electric Vehicle And Vehicle Simulator For Energy Management Assessment
DOWNLOAD
Author : Andrew Lee Meintz
language : en
Publisher:
Release Date : 2011
Development Of A Fuel Cell Plug In Hybrid Electric Vehicle And Vehicle Simulator For Energy Management Assessment written by Andrew Lee Meintz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Electric automobiles categories.
"This dissertation offers a description of the development of a fuel cell plug-in hybrid electric vehicle focusing on the propulsion architecture selection, propulsion system control, and high-level energy management. Two energy management techniques have been developed and implemented for real-time control of the vehicle. The first method is a heuristic method that relies on a short-term moving average of the vehicle power requirements. The second method utilizes an affine function of the short-term and long-term moving average vehicle power requirements. The development process of these methods has required the creation of a vehicle simulator capable of estimating the effect of changes to the energy management control techniques on the overall vehicle energy efficiency. Furthermore, the simulator has allowed for the refinement of the energy management methods and for the stability of the method to be analyzed prior to on-road testing. This simulator has been verified through on-road testing of a constructed prototype vehicle under both highway and city driving schedules for each energy management method. The results of the finalized vehicle control strategies are compared with the simulator predictions and an assessment of the effectiveness of both strategies is discussed. The methods have been evaluated for energy consumption in the form of both hydrogen fuel and stored electricity from grid charging"--Abstract, leaf iii.
Hybrid Electric Vehicles
DOWNLOAD
Author : Simona Onori
language : en
Publisher: Springer
Release Date : 2015-12-16
Hybrid Electric Vehicles written by Simona Onori and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-16 with Technology & Engineering categories.
This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle’s power is provided by each source instant by instant. Hybrid Electric Vehicles: •introduces methods for modeling energy flow in hybrid electric vehicles; •presents a standard mathematical formulation of the optimal control problem; •discusses different optimization and control strategies for energy management, integrating the most recent research results; and •carries out an overall comparison of the different control strategies presented. Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.
An Energy Management Strategy For Plug In Hybrid Electric Vehicles
DOWNLOAD
Author : Benjamin Bader
language : en
Publisher:
Release Date : 2014
An Energy Management Strategy For Plug In Hybrid Electric Vehicles written by Benjamin Bader and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
This dissertation formulates a proposal for a real time implementable energy management strategy (EMS) for plug-in hybrid electric vehicles. The EMS is developed to minimize vehicle fuel consumption through the utilisation of stored electric energy and high-efficiency operation of powertrain components. This objective is achieved through the development of a predictive EMS, which, in addition to fuel efficiency, is optimized in terms of computational cost and drivability. The requirement for an EMS in hybrid powertrain vehicles stems from the integration of two energy stores and converters in the powertrain; in the case of hybrid electric vehicles (HEVs) usually a combustion engine and one or more electric machines powered by a battery. During operation of the vehicle the EMS controls power distribution between engine and electric traction motor. Power distribution is optimized according to the operating point dependent efficiencies of the components, energy level of the battery and trip foreknowledge. Drivability considerations, e.g. frequency of engine starts, can also be considered. Due to high oil prices and legislative requirements caused by the environmental impact of greenhouse emissions, fuel economy has gained importance in recent years. In addition to increased fuel economy, powertrain hybridization permits the substituton of fuel for electrical energy by implementing an external recharging option for the battery. This vehicle class, incorporating a battery rechargeable via the electrical grid, is known as a plug-in HEV (PHEV). PHEV share characteristics of both HEVs and all-electric vehicles combining several advantages of both technologies. The rechargeable battery feature of the PHEVs makes their EMS development espe-cially challenging. For minimal fuel consumption, the battery is discharged optimally over the whole trip length, prioritising electrical energy when driving conditions are such that its use maximises the fuel saving that can be achieved. Therefore, an EMS for a PHEV depends heavily on the availability of a priori knowledge about the trip, i.e. the knowledge about future vehicle speed and road grade. This requires the driver to indi-cate the route before trip start. The route knowledge in combination with GPS or Galileo based next generation navigation systems using information from a geographic in-formation system (GIS) about terrain height profile, road type (e.g. motorway or country road), and legal speed limits can be evaluated by a speed prediction algorithm including information about the driver's behaviour for a detailed prediction of the trip. These navigation systems and algorithms in combination with expected future advances and the deployment of technologies such as intelligent transport systems (ITS) and vehicle-to-vehicle communication (V2V), will make more exact traffic information available to further improve prediction. Despite expected advances in prediction quality, inaccuracy of prediction data has to be considered and is therefore regarded in this work. The EMS proposed in this dissertation combines different approaches which are exe-cuted step by step. A first approximation of the energy distribution during the trip is based on a mixed integer linear program (MILP), which gives the optimal energy state of the battery during the trip. This is especially important for trips with long uphill, downhill or urban phases, i.e. sections with a particularly high or lower power requirement. The results from MILP are then used by a dynamic programming (DP) algorithm to calculate optimal torque and gear using a receding prediction horizon. Using a receding prediction horizon, an important reduction of computational cost is achieved. Lastly, from the DP results a rule-based strategy is extracted using a support vector machine (SVM). This last step is necessary to ensure the drivability of the vehicle also for inaccurate prediction data.
Ihorizon Enabled Energy Management For Electrified Vehicles
DOWNLOAD
Author : Clara Marina Martinez
language : en
Publisher: Butterworth-Heinemann
Release Date : 2018-09-11
Ihorizon Enabled Energy Management For Electrified Vehicles written by Clara Marina Martinez and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-11 with Technology & Engineering categories.
iHorizon-Enabled Energy Management for Electrified Vehicles proposes a realistic solution that assumes only scarce information is available prior to the start of a journey and that limited computational capability can be allocated for energy management. This type of framework exploits the available resources and closely emulates optimal results that are generated with an offline global optimal algorithm. In addition, the authors consider the present and future of the automotive industry and the move towards increasing levels of automation. Driver vehicle-infrastructure is integrated to address the high level of interdependence of hybrid powertrains and to comply with connected vehicle infrastructure. This book targets upper-division undergraduate students and graduate students interested in control applied to the automotive sector, including electrified powertrains, ADAS features, and vehicle automation. Addresses the level of integration of electrified powertrains Presents the state-of-the-art of electrified vehicle energy control Offers a novel concept able to perform dynamic speed profile and energy demand prediction
Comprehensive Energy Management Eco Routing Velocity Profiles
DOWNLOAD
Author : Daniel Watzenig
language : en
Publisher: Springer
Release Date : 2017-05-17
Comprehensive Energy Management Eco Routing Velocity Profiles written by Daniel Watzenig and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-17 with Technology & Engineering categories.
The book discusses the emerging topic of comprehensive energy management in electric vehicles from the viewpoint of academia and from the industrial perspective. It provides a seamless coverage of all relevant systems and control algorithms for comprehensive energy management, their integration on a multi-core system and their reliability assurance (validation and test). Relevant European projects contributing to the evolvement of comprehensive energy management in fully electric vehicles are also included.
Fleets Go Green
DOWNLOAD
Author : Christoph Herrmann
language : en
Publisher: Springer
Release Date : 2018-06-11
Fleets Go Green written by Christoph Herrmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-11 with Technology & Engineering categories.
The book presents the results of the research project Fleets Go Green from different engineering disciplines. It includes comprehensive empirical data as well as different methods and tools for evaluating and integrating electric vehicles into corporate fleets. Finally, the authors give recommendations for fleet owners, vehicle manufacturers and political decision. The aim of the joint research project Fleets Go Green was the integrated analysis and evaluation of the environmental performance of electric and plug-in-hybrid vehicles in everyday usage on the example of fleet operations. The potential of electric vehicles for reducing the harmful environmental impacts of road transport in everyday conditions can only be analyzed and evaluated in field tests. If electric vehicles should realize their potential to reduce emissions and minimize the consumption of resources, an integrated life cycle assessment is required.
Real Time Optimal Energy Management System For Plug In Hybrid Electric Vehicles
DOWNLOAD
Author : Amir Taghavipour
language : en
Publisher:
Release Date : 2014
Real Time Optimal Energy Management System For Plug In Hybrid Electric Vehicles written by Amir Taghavipour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Air pollution and rising fuel costs are becoming increasingly important concerns for the transportation industry. Hybrid electric vehicles (HEVs) are seen as a solution to these problems as they off er lower emissions and better fuel economy compared to conventional internal combustion engine vehicles. A typical HEV powertrain consists of an internal combustion engine, an electric motor/generator, and a power storage device (usually a battery). Another type of HEV is the plug-in hybrid electric vehicle (PHEV), which is conceptually similar to the fully electric vehicle. The battery in a PHEV is designed to be fully charged using a conventional home electric plug or a charging station. As such, the vehicle can travel further in full-electric mode, which greatly improves the fuel economy of PHEVs compared to HEVs. In this study, an optimal energy management system (EMS) for a PHEV is designed to minimize fuel consumption by considering engine emissions reduction. This is achieved by using the model predictive control (MPC) approach. MPC is an optimal model-based approach that can accommodate the many constraints involved in the design of EMSs, and is suitable for real-time implementations. The design and real-time implementation of such a control approach involves control-oriented modeling, controller design (including high-level and low-level controllers), and control scheme performance evaluation. All of these issues will be addressed in this thesis. A control-relevant parameter estimation (CRPE) approach is used to make the control-oriented model more accurate. This improves the EMS performance, while maintaining its real-time implementation capability. To reduce the computational complexity, the standard MPC controller is replaced by its explicit form. The explicit model predictive controller (eMPC) achieves the same performance as the implicit MPC, but requires less computational effort, which leads to a fast and reliable implementation. The performance of the control scheme is evaluated through different stages of model-in-the-loop (MIL) simulations with an equation-based and validated high-fidelity simulation model of a PHEV powertrain. Finally, the CRPE-eMPC EMS is validated through a hardware-in-the-loop (HIL) test. HIL simulation shows that the proposed EMS can be implemented to a commercial control hardware in real time and results in promising fuel economy figures and emissions performance, while maintaining vehicle drivability.
