Energy management strategies for parallel hybrid vehicles using fuzzy logic

Schouten, Niels J.; Salman, Mutasim; Kheir, Naim A.

doi:10.1016/s0967-0661(02)00072-2

Cited by 205 publications

(63 citation statements)

References 4 publications

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“…Schouten et al [18], developed a FLC for HEV with parallel configuration. They used the driver command, the state of charge of the energy storage, and the motor/generator speed, to set of rules in a fuzzy controller, to effectively determine the split between the two power plants in forward modelling.…”

Section: Figurementioning

confidence: 99%

Investigation of energy usage and emissions on plug-in and hybrid electric vehicle

2016

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Preliminary noteOne of the major issues in automotive industry is to develop hybrid electric vehicles (HEVs) as the prime candidate for improving fuel efficiency and emissions reduction. This study addresses the impact of an actual drive pattern and control strategy on the conventional and plug-in hybrid electric vehicles (PHEV). In the first step the development procedure of driving cycle for real condition is proposed. Then effects of driving pattern and energy management strategy as the main factors, which strongly affect the fuel consumption and emission of pollutants, are investigated for HEVs and PHEVs. For this purpose fuzzy logic controller which is optimized with genetic algorithm is developed for energy management system. Then vehicle performance is simulated in ADVISOR. Simulation results demonstrate the effectiveness of the approach for reducing the fuel consumption and emissions. Furthermore, simulation results indicate that PHEVs in comparison to HEVs improve fuel efficiency and reduce emissions in real world driving cycle. Keywords: emission; fuel consumption; fuzzy controller; genetic algorithm; hybrid vehicle; plug-in hybrid vehicleIstraživanje potrošnje energije i ispuštanja štetnih plinova kod plug-in i hibridnih električnih vozila Prethodno priopćenje Jedan od osnovnih zadataka u automobilskoj industriji je razvoj hibridnih električnih vozila (HEVs) kao primarnog kandidata za poboljšanje učinkovitosti goriva i smanjenje ispušnih plinova. Ovo se istraživanje bavi učinkom aktualnog modela pogona i upravljanja na konvencionalna i plug-in hibridna električna vozila (PHEV). Najprije se predlaže postupak razvoja pogonskog ciklusa za stvarne uvjete. Tada se za HEVs i PHEVs istražuju učinci pogonskog modela i načina upravljanja potrošnjom energije kao glavnih čimbenika koji bitno djeluju na potrošnju goriva i ispuštanje plinova koji zagađuju okolinu. U tu je svrhu za sustav upravljanja energijom razvijen upravljač neizrazite logike optimiziran genetskim algoritmom. Tada je rad vozila simuliran u ADVISOR-u. Rezultati simulacije pokazuju učinkovitost pristupa kojim se smanjuje potrošnja goriva i količina ispušnih plinova. Nadalje, ti rezultati pokazuju da PHEVs u usporedbi s HEVs poboljšavaju učinkovitost goriva i smanjuju količinu ispušnih plinova u stvarnom pogonu. Ključne riječi: genetički algoritam; hibridno vozilo; ispuštanje plinova; plug-in hibridno vozilo; potrošnja goriva; upravljač neizrazite logike

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Section: Figurementioning

confidence: 99%

Investigation of energy usage and emissions on plug-in and hybrid electric vehicle

2016

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“…Intensive investigations have been conducted on Start-Stop operation [9,[21][22][23], but only limited publications are available in this research area. The current paper contributes to the fuel economy research by proposing a concept for an IdleStop and Go (SG) system utilizing a zero inertia (ZI) powertrain [11][12][13][24][25][26].…”

Section: %mentioning

confidence: 99%

IdleStop and Go: a way to improve fuel economy

Shen

Vroemen

Veldpaus

2006

Vehicle System Dynamics

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This paper proposes a mechanical solution to save fuel by shutting down an internal combustion engine whenever it is unnecessary for propulsion, e.g., when a vehicle is waiting for traffic lights. The engine and vehicle are restarted using the energy that is stored in a flywheel. Two additional clutches are needed to enable appropriate power flow from the flywheel to the engine and vehicle. This complicates the powertrain dynamics in that the number of degrees of freedom changes due to clutch operations. Therefore, a hybrid control strategy, which is treated as a top-level controller, is introduced to deal with this finite-state mechanical system. At the lower level, the engine and clutches are controlled in a coordinated manner such that the vehicle is launched according to the driver's demands. Using a comprehensive powertrain simulation package, the proposed controller is evaluated numerically.

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“…In types (a), (b) and (c), energy management is focused on batteries and power converters, in which additional components are needed for the fulfillment of efficient energy. However, in type (d), a set of dynamic rules is programmed into the controller, an already existing component, to boost energetic economy [20][21][22][23], with the advantage of no additional hardware. This paper discusses type (d).…”

Section: Introductionmentioning

confidence: 99%

Online Energy Management of City Cars with Multi-Objective Linear Parameter-Varying L2-Gain Control

Hong

2015

Energies

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Abstract:This work aims at online regulating transient current out of the batteries of small-sized electric cars that transport people and goods around cities. In a city with heavy traffic, transient current dominates the energy economy and propulsion capability, which are in opposition to each other. In order to manage the trade-off between energy consumption per distance and propulsion capability in transience, the authors improve on previous work on multi-objective linear parameter-varying (LPV) L2-gain control. The observer embedded into this multi-objective controller no longer assumes Kalman-filtering structure, and structural conservatism is thus removed. A full-spectrum set of experiments is performed. The results reveal that the feedback design significantly improves energy-motion management.

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Energy management strategies for parallel hybrid vehicles using fuzzy logic

Cited by 205 publications

References 4 publications

Investigation of energy usage and emissions on plug-in and hybrid electric vehicle

Investigation of energy usage and emissions on plug-in and hybrid electric vehicle

IdleStop and Go: a way to improve fuel economy

Online Energy Management of City Cars with Multi-Objective Linear Parameter-Varying L2-Gain Control

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