Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends

Salmasi, Farzad Rajaei

doi:10.1109/tvt.2007.899933

Cited by 746 publications

(329 citation statements)

References 27 publications

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“…The optimization of power management in Hybrid Electric Vehicles can however be realized by applying different control strategies. In work by Salmasi [4], a classification of control strategies for hybrid electric vehicles defined two main categories. These are rule based strategies including fuzzy and deterministic methods, and optimization based strategies including global and real-time approaches.…”

Section: Drive System Configuration and Optimization Proceduresmentioning

confidence: 99%

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Analysis of energy storage devices in hybrid railway vehicles

Lu¹,

Meegahawatte²,

Guo³

et al. 2008

IET International Conference on Railway Engineering 2008 (ICRE 2008)

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This paper presents an analysis of the energy storage requirements for hybrid railway vehicles. Autonomous hybrid railway vehicles combine two power sources. The conventional diesel primemover is supplemented with power derived from an on-board energy storage device. The device is discharged during high power demand, and may be recharged through regenerative braking. The energy savings that are achievable through the adoption of such technology are also dependent on the duty cycle. It is shown that for a given vehicle there is a inter-station distance beyond which the benefits become marginal.The performance of the energy storage device fundamentally affects the whole system performance and careful consideration is required in device selection. The constrained nature of the railway system also presents opportunities for optimization of architectures and control strategies. These methods are also discussed in this paper. Finally, a review of practical implementation considerations is presented. Hybrid railway vehiclesThe principle of a hybrid propulsion system is to use more than one power source for vehicle propulsion. Choices of hybrid architecture and system configuration depend on the vehicle duty cycle, and also depend on issues such as whole life cycle costs and maintainability. For systems with two power sources, the prime mover is usually an internal combustion engine, and this is supported by another power source, such as a battery system during periods of high power demand. The path of power * Corresponding author, +44 (0)121 414 4289 s.hillmansen@bham.ac.uk from prime mover to the wheels of the vehicle also have many technically feasible options. Railway vehicles have a number of systems in use currently, including diesel electric transmission which is common in many locomotives, and increasingly a feasible option for multiple units. In principle, only minor propulsion system modifications are required to convert an existing electric transmission system into one which can accommodate electrical energy storage between the traction drives and the prime mover.Energy savings from a system containing energy storage can be realized through the downsizing and optimization of the prime mover, and through the capture and release of braking energy. Railway operations also have further potential options for energy savings by optimizing the driving style to maximize the use of regenerated energy, and by careful management of the energy storage device.The selection of an energy storage medium is a complex process, and devices may have fundamentally different characteristics, meaning the resulting final systems differ considerably. Electric storage medium include supercapacitors, batteries, and magnetic field storage. Each of these technologies have different operating constraints and will potentially each have niche applications. Mechanical storage includes compressed storage systems, and flywheel systems. This paper presents a broad analysis of hybrid railway vehicle configurations as shown in figure 1, wi...

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Section: Drive System Configuration and Optimization Proceduresmentioning

confidence: 99%

“…The cost functions definitions may include energy consumption, noxious emissions, journey time or any other key output parameter. However, availability of future driving information limits online implementation of these strategies [4].…”

Section: Optimization Based Strategiesmentioning

confidence: 99%

Analysis of energy storage devices in hybrid railway vehicles

Lu¹,

Meegahawatte²,

Guo³

et al. 2008

IET International Conference on Railway Engineering 2008 (ICRE 2008)

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“…In particular, hybrid vehicles can benefit from the combination of their different power-trains. Hybrid vehicles may have greater autonomy respect to the fully electric cars, thanks to the internal combustion energy source [7,8] and better performance (e.g. acceleration, energy efficiency) respect to the conventional cars, thanks to efficient and fast reacting electric motors.…”

Section: Introductionmentioning

confidence: 99%

Voltage control of a generator for a hybrid vehicle prototype

Henriques¹,

Ribeiro²,

Jorge³

2017

FME Transaction

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“…Therefore, the control strategies can satisfy a number of goals, such as maximum fuel economy, good driving performance, etc. Amongst these power management control strategies, the effectiveness of rule-based power management in real-time supervisory control has been stated in [13]. According to [13], under rule-based power management, deterministic rule-based power management, as an easy to realize method, relies on heuristics to design rules that are generally implemented via look-up tables.…”

Section: Introductionmentioning

confidence: 99%

“…Amongst these power management control strategies, the effectiveness of rule-based power management in real-time supervisory control has been stated in [13]. According to [13], under rule-based power management, deterministic rule-based power management, as an easy to realize method, relies on heuristics to design rules that are generally implemented via look-up tables. An adaptive rule-based power management for optimization of both energy use and emissions is also mentioned.…”

Section: Introductionmentioning

confidence: 99%

Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review

Moulik

Söffker

2015

Energies

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The field of hybrid vehicles has undergone intensive research and development, primarily due to the increasing concern of depleting resources and increasing pollution. In order to investigate further options to optimize the performance of hybrid vehicles with regards to different criteria, such as fuel economy, battery aging, etc., a detailed state-of-the-art review is presented in this contribution. Different power management and optimization techniques are discussed focusing on rule-based power management and multi-objective optimization techniques. The extent of rule-based power management and optimization in solving battery aging issues is investigated along with an implementation in real-time driving scenarios where no pre-defined drive cycle is followed. The goal of this paper is to illustrate the significance and applications of rule-based power management optimization based on previous contributions.

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Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends

Cited by 746 publications

References 27 publications

Analysis of energy storage devices in hybrid railway vehicles

Analysis of energy storage devices in hybrid railway vehicles

Voltage control of a generator for a hybrid vehicle prototype

Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review

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