Engine Control Strategy for a Series Hybrid Electric Vehicle Incorporating Load-Leveling and Computer Controlled Energy Management

Hochgraf, Clark; Ryan, Michael J.; Wiegman, Herman

doi:10.4271/960230

Cited by 49 publications

(21 citation statements)

References 2 publications

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“…It is normally a function of the size of the power-train components, (i.e., nominal and peak power output of the ICE and the EM), the means for controlling the power flow, such as transmissions or clutches, and dependency of the components on each other. The automobile developed in this study uses a methodology known as load leveling to force the ICE to act at or near either its peak point of efficiency or its best fuel use at all times [20], [21]. The idea behind load leveling an "IC-dominated hybrid" (i.e., one with a DOH less than 0.48 and a bias on the ICE) is to move the actual ICE operating point as close as possible to some predetermined value for every instant in time during the vehicle operation.…”

Section: Vehicle Operation Strategymentioning

confidence: 99%

Mechatronic design and control of hybrid electric vehicles

Baumann

Washington

Glenn

et al. 2000

IEEE/ASME Trans. Mechatron.

324

134

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The work in this paper presents techniques for design, development, and control of hybrid electric vehicles (HEV's). Toward these ends, four issues are explored. First, the development of HEV's is presented. This synopsis includes a novel definition of degree of hybridization for automotive vehicles. Second, a load-leveling vehicle operation strategy is developed. In order to accomplish the strategy, a fuzzy logic controller is proposed. Fuzzy logic control is chosen because of the need for a controller for a nonlinear, multidomain, and time-varying plant with multiple uncertainties. Third, a novel technique for system integration and component sizing is presented. Fourth, the system design and control strategy is both simulated and then implemented in an actual vehicle. The controller examined in this study increased the fuel economy of a conventional full-sized vehicle from 40 to 55.7 mi/h and increased the average efficiency over the Federal Urban Driving Schedule from 23% to 35.4%. The paper concludes with a discussion of the implications of intelligent control and mechatronic systems as they apply to automobiles.Index Terms-Automotive control, hybrid vehicle control, intelligent control of automobiles.

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Section: Vehicle Operation Strategymentioning

confidence: 99%

Mechatronic design and control of hybrid electric vehicles

Baumann

Washington

Glenn

et al. 2000

IEEE/ASME Trans. Mechatron.

324

134

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“…Rules are built in [3] to control the APU working on or shutting down based on value of battery SOC. Though APU can work on its optimal operation point to match the average road power demand, battery power has to track power need of motor to drive the vehicle at most times and shorten life of the battery.…”

Section: A Review Of Rule-based Energy Management Of Shevmentioning

confidence: 99%

Systematic Fuel Reduction Strategies of Series Hybrid Transit Bus

Cao

et al. 2007

2007 IEEE International Conference on Control Applications

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Series hybrid electric vehicle have potential in effectively reducing vehicle fuel consumption and exhaust emissions. In this paper, three refinements of the basic energy management strategy are discussed and compared with its basic energy management strategy to test their effect on fuel reduction of a series hybrid transit bus. Simulation and experimentation results show that these refinements of basic energy management strategy can improve vehicle fuel consumption evidently.

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“…Deterministic instantaneous methods include power follower control, thermostat [30][31][32][33][34][35][36], and state machine [37]. Energy management problem for HEV is a multidisciplinary, time-varying, and nonlinear optimal problem; fuzzy logic control seems to be the most logical approach to the problem.…”

Section: Energy Management For Hevmentioning

confidence: 99%