Modelling and Control of Series HEVs Including Resistive Losses and Varying Engine Efficiency

Neuman, Magnus; Wahlberg, Bo; Folkesson, Anders

doi:10.4271/2009-01-1320

Cited by 6 publications

(6 citation statements)

References 17 publications

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“…that captures the essential EGU characteristics and compares reasonably well to manufacturer data [28]. Due to internal friction, the efficiency approaches zero at power lower than P idle .…”

Section: Engine-generator Unit (Egu)supporting

confidence: 48%

Component sizing of a plug-in hybrid electric powertrain via convex optimization

Murgovski¹,

Johannesson²,

Sjöberg³

et al. 2012

Mechatronics

218

159

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This paper presents a novel convex modeling approach which allows for a simultaneous optimization of battery size and energy management of a plug-in hybrid powertrain by solving a semidefinite convex problem. The studied powertrain belongs to a city bus which is driven along a perfectly known bus line with fixed charging infrastructure. The purpose of the paper is to present the convexifying methodology and validate the necessary approximations by comparing with results obtained by Dynamic programming when using the original nonlinear, non-convex, mixed-integer models. The comparison clearly shows the importance of the gear and engine on/off decisions, and it also shows that the convex optimization and Dynamic Programming point toward similar battery size and operating cost when the same gear and engine on/off heuristics are used. The main conclusion in the paper is that due to the low computation time, the convex modeling approach enables optimization of problems with two or more state variables, e.g. allowing for thermal models of the components; or to include more sizing variables, e.g. sizing of the engine and the electric machine simultaneously.

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Section: Engine-generator Unit (Egu)supporting

confidence: 48%

Component sizing of a plug-in hybrid electric powertrain via convex optimization

Murgovski¹,

Johannesson²,

Sjöberg³

et al. 2012

Mechatronics

218

159

View full text Add to dashboard Cite

show abstract

“…More details on the convexity of these functions can be found in [12], [23], [24], [4], [13], [15]. A convex and nondecreasing EGU model has been proposed by [12], based on the EGU models of [25]. The convexity of buffer losses and power limits have been established by [23], [16] and hold both for supercapacitors and batteries modeled with linear relationship between open circuit voltage and state of charge.…”

Section: Vehicle Modeling and Optimization Objectivementioning

confidence: 99%

Convex relaxations in the optimal control of electrified vehicles

Murgovski

Johannesson

et al. 2015

2015 American Control Conference (ACC)

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Abstract-When controlling the energy flow among multiple power sources in electrified powertrains, the typically nonconvex set of the original formulation is relaxed to a convex super-set, and the problem is then approached by the means of convex optimization. In this paper we show that when using the backward simulation approach, where vehicle velocity is equal to the reference velocity, the global optimum of the original nonconvex problem can be obtained by solving a relaxed convex problem. When vehicle velocity is kept as a state in the problem, in the so called forward simulation approach, we provide a condition for which, when satisfied, the solution of the relaxed problem will provide the solution of the non-relaxed problem.

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“…The electric power of the electric machine then is Here the electric energy storage is exemplified with a super capacitor. Then the dynamics of the electric energy in the electric energy storage is [7] …”

Section: Modelmentioning

confidence: 99%

Optimal transient control of power generation in hybrid construction equipment

Fröberg

Åslund

Nielsen

2011

2011 IEEE Vehicle Power and Propulsion Conference

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Optimal energy management and power generation control in hybrid construction machines is presented. Power demand is often highly transient for construction equipment. The influence of the transient demand is studied by introducing powertrain speed dynamics in addition to energy storage dynamics in the optimal control problem. Solutions to the optimal control problem are derived and an approximate solution is proposed that can be used for on-line control. The well known equivalent consumption minimization strategy is extended and the new method introduces a new control parameter, fuel equivalent kinetic energy. Simulations of the on-line control strategy are presented and it is shown that they approximate the optimal control solutions well.

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Modelling and Control of Series HEVs Including Resistive Losses and Varying Engine Efficiency

Cited by 6 publications

References 17 publications

Component sizing of a plug-in hybrid electric powertrain via convex optimization

Component sizing of a plug-in hybrid electric powertrain via convex optimization

Convex relaxations in the optimal control of electrified vehicles

Optimal transient control of power generation in hybrid construction equipment

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