Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes

Hu, Xiaosong; Murgovski, Nikolce; Johannesson, Lars; Egardt, Bo

doi:10.1016/j.apenergy.2013.06.056

Cited by 295 publications

(128 citation statements)

References 32 publications

Supporting

Mentioning

128

Contrasting

Order By: Relevance

“…Similar convex relaxations have been undertaken in [12], [13], [24], [6], [15], [16], [17], [18] for problems of combined sizing and control of electrified powertrains. Common in these studies is that braking power is removed from the problem.…”

Section: B Convex Relaxationmentioning

confidence: 99%

Convex relaxations in the optimal control of electrified vehicles

Murgovski

Johannesson

et al. 2015

2015 American Control Conference (ACC)

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: B Convex Relaxationmentioning

confidence: 99%

Convex relaxations in the optimal control of electrified vehicles

Murgovski

Johannesson

et al. 2015

2015 American Control Conference (ACC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is clear that all the estimated parameters tend to converge at the end of the test. It can be seen that the value of 1 R is bigger than that of 2 R while 1 C is just slightly smaller than 2 C . It means that the first RC circuit has a larger time constant than the second RC network in the selected model.…”

Section: Parameter Estimation In the Dst Testmentioning

confidence: 91%

“…In order to address serious concerns over energy sustainability and environmental impact, governments, the automotive industry, and academia are endeavoring to expedite a paradigm shift to a green transportation system [1]. Electric vehicles have been widely recognized as an integral part of such a high-efficiency system, owing to the fact that the use of electricity can potentially diversify the power sources for vehicle propulsion systems [2].…”

Section: Introductionmentioning

confidence: 99%

Online Parameter Identification of Ultracapacitor Models Using the Extended Kalman Filter

et al. 2014

View full text Add to dashboard Cite

Ultracapacitors (UCs) are the focus of increasing attention in electric vehicle and renewable energy system applications due to their excellent performance in terms of power density, efficiency, and lifespan. Modeling and parameterization of UCs play an important role in model-based regulation and management for a reliable and safe operation. In this paper, an equivalent circuit model template composed of a bulk capacitor, a second-order capacitance-resistance network, and a series resistance, is employed to represent the dynamics of UCs. The extended Kalman Filter is then used to recursively estimate the model parameters in the Dynamic Stress Test (DST) on a specially established test rig. The DST loading profile is able to emulate the practical power sinking and sourcing of UCs in electric vehicles. In order to examine the accuracy of the identified model, a Hybrid Pulse Power Characterization test is carried out. The validation result demonstrates that the recursively calibrated model can precisely delineate the dynamic voltage behavior of UCs under the discrepant loading condition, and the online identification approach is thus capable of extracting the model parameters in a credible and robust manner.

show abstract

“…Elsewhere this particular distance, or "all-electric range, " the vehicles operate as an off-grid (or conventional) hybrid, with the fuel economy benefits that result from relying on the battery and electric motor to reduce efficiency losses. Figure 2 shows PHEVs' advanced electricity utilization where we can see the different way of electricity usage [5]. …”

Section: Plug-in Hybrid Electric Vehicles (Phevs)mentioning

confidence: 99%