A Comparison Study Between Two Parallel Hybrid Control Concepts

Rahman, Z.; Butler, K.L.; Ehsani, M.

doi:10.4271/2000-01-0994

Cited by 43 publications

(22 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It has been demonstrated that hybridization improves HEV fuel economy and dynamic performances up to a critical optimum point (HF = 0.3 to 0.5). After this point, increasing the electric-propulsion system capacity will not improve the HEV performances [8], [9].…”

Section: A Hev Configurationmentioning

confidence: 99%

Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study

Zeraoulia

Benbouzid²,

Diallo³

2006

IEEE Trans. Veh. Technol.

562

137

View full text Add to dashboard Cite

Abstract-This paper describes a comparative study allowing the selection of the most appropriate electric-propulsion system for a parallel hybrid electric vehicle (HEV). This paper is based on an exhaustive review of the state of the art and on an effective comparison of the performances of the four main electricpropulsion systems, namely the dc motor, the induction motor (IM), the permanent magnet synchronous motor, and the switched reluctance motor. The main conclusion drawn by the proposed comparative study is that it is the cage IM that better fulfills the major requirements of the HEV electric propulsion.Index Terms-Comparison, electric propulsion, hybrid electric vehicle (HEV).

show abstract

Section: A Hev Configurationmentioning

confidence: 99%

Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study

Zeraoulia

Benbouzid²,

Diallo³

2006

IEEE Trans. Veh. Technol.

562

137

View full text Add to dashboard Cite

show abstract

“…The heuristic supervisory control is often based on the load-levelling concept (Jalil, Kheir, & Salman, 1997;Rahman, Butler, & Ehsani, 2000), namely operating the engine at its efficient region while using the battery for leverage. Other rule-based PMS use heuristic rules, fuzzy logic or neural networks (He, Parten, & Maxwell, 2005;Salman, Schouten, & Kheir, 2000) for estimation and control implementation.…”

Section: Overview Of Existing Methodologies and Resultsmentioning

confidence: 99%

Optimisation-based control for electrified vehicles: challenges and opportunities

Sun

2015

Journal of Control and Decision

View full text Add to dashboard Cite

Vehicle electrification is a trend that is transforming the transportation landscape. Automobiles, trains, ships and aircrafts are all being electrified as they are being designed to be more efficient, cleaner and more flexible. Vehicle electrification has brought many multi-faceted challenges and opportunities for control design and system integration. In this paper, we will discuss some of the control problems introduced by vehicle electrification. Case studies will be presented to illustrate the control implications. In particular, optimisation-based energy management solutions will be elucidated as representative examples of new design framework for control design and system integration for hybrid electric vehicles and all electric ships.

show abstract

“…The ICE, a four-cylinder, 1.9 L diesel engine, is coupled to the driveshaft through a continuously variable transmission (CVT) (and clutch in the post-transmission configuration [Rahman et al (2000)]) to facilitate high-efficiency engine operation over a wide range of loads. Coupled to the driveshaft and in parallel with the ICE-CVT, is the ED, a 30 kW, 3-phase, 4-pole induction motor drive operated under maximum torque/amp control [Bodson et al (1995)].…”

Section: Model Hardware Configurationmentioning

confidence: 99%

Hybrid model predictive control tracking of a sawtooth driving profile for an HEV

Uthaichana

Bengea

DeCarlo

et al. 2008

2008 American Control Conference

View full text Add to dashboard Cite

Based on a two-mode operation model of a parallel hybrid electric vehicle (PHEV) developed in previous work, this paper presents a hybrid optimal control solution for the power management problem of a PHEV. The optimal power flows between the vehicle's main subsystems are computed as solutions of a switching-system optimization (nonlinear programming problem) formulated at the supervisory level assuming a hierarchical vehicle control structure. The resulting equations are numerically solved using collocation methods. The approach is illustrated using the optimal and MPC tracking of a sawtooth velocity driving profile. Unlike other work, the assumption that there is always sufficient power to achieve perfect tracking is not made in this work.

show abstract

A Comparison Study Between Two Parallel Hybrid Control Concepts

Cited by 43 publications

References 5 publications

Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study

Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study

Optimisation-based control for electrified vehicles: challenges and opportunities

Hybrid model predictive control tracking of a sawtooth driving profile for an HEV

Contact Info

Product

Resources

About