HEV control strategy: implications of performance criteria, system configuration and design, and component selection

Moore, Timothy C.

doi:10.1109/acc.1997.611887

Cited by 14 publications

(7 citation statements)

References 1 publication

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“…For PHEV city buses the energy management strategy decides the operating point of the ICE and thereby when and at which rate the energy buffer is to be discharged. When optimizing the PHEV public transportation system based on a dynamic model of the powertrain, a badly tuned energy management may lead to a non-optimal sizing of the energy buffer [5].…”

Section: Introductionmentioning

confidence: 99%

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

Murgovski¹,

Johannesson²,

Sjöberg³

et al. 2012

Mechatronics

213

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: Introductionmentioning

confidence: 99%

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

Murgovski¹,

Johannesson²,

Sjöberg³

et al. 2012

Mechatronics

213

159

View full text Add to dashboard Cite

show abstract

“…For PHEV city buses the energy management strategy decides the operating point of the ICE and thereby when and at which rate the energy buffer is to be discharged. When optimizing the PHEV public transportation system based on a dynamic model of the powertrain, a badly designed/adjusted energy management may lead to a non-optimal size of the energy buffer [6]. Hence, to overcome this problem, both the size of the energy buffer and the energy management need to be optimized simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Engine On/Off Control for Dimensioning Hybrid Electric Powertrains via Convex Optimization

Murgovski

Johannesson

Sjöberg

2013

IEEE Trans. Veh. Technol.

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This paper presents a novel heuristic method for optimal control of mixed-integer problems which for given feasible values of the integer variables are convex in the rest of the variables. The method is based on the Pontryagin's maximum principle and allows the problem to be solved using convex optimization techniques. The advantage of this approach is the short computation time for obtaining a solution near the global optimum, which may otherwise need very long computation time when solved by algorithms guaranteeing global optimum, such as Dynamic Programming.In this study the method is applied to the problem of battery dimensioning and power split control of a plug-in hybrid electric vehicle where the only integer variable is the engine on/off control, but the method can be extended to problems with more integer variables. The studied vehicle is a city bus which is driven along a perfectly known bus line with a fixed charging infrastructure. The bus can charge either at standstill, or while driving along a tram line (slide-in).The problem is approached in two different scenarios: first, only the optimal power split control is obtained for several fixed battery sizes; second, both battery size and power split control are optimized simultaneously. Optimizations are performed over four different bus lines and two different battery types, giving solutions that are very close to the global optimum obtained by Dynamic Programming.Index Terms-plug-in/slide-in hybrid electric vehicle, battery sizing, power management, convex optimization, Pontryagin's maximum principle

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“…For HEV city buses the energy management strategy decides the operating points of the ICE and thereby when and at which rate the energy buffer is to be discharged. A badly tuned energy management may lead to a non-optimal size of the energy buffer (Moore, 1997). Hence, to overcome this problem, both the size of the energy buffer and the energy management need to be optimized simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Convex modeling of energy buffers in power control applications

Murgovski¹,

Johannesson²,

Sjöberg³

2012

IFAC Proceedings Volumes

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This paper describes modeling steps for presenting energy buffers as convex models in power control applications. Except obtaining the optimal control, the paper also shows how convex optimization can be used to simultaneously size the energy buffer while optimally controlling a trajectory following system. The energy buffers are capacitors and batteries with quadratic power losses, while the resulting convex problem is a semidefinite program. The convex modeling steps are described through a problem of optimal buffer sizing and control of a hybrid electric vehicle. The studied vehicle is a city bus driven along a perfectly known bus line. The paper also shows modeling steps for alternative convex models where power losses and power limits of the energy buffer are approximated. The approximated models show significant decrease in computation time without visible impact on the optimal result.

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HEV control strategy: implications of performance criteria, system configuration and design, and component selection

Cited by 14 publications

References 1 publication

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

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

Engine On/Off Control for Dimensioning Hybrid Electric Powertrains via Convex Optimization

Convex modeling of energy buffers in power control applications

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