Combined optimisation of design and power management of the hydraulic hybrid propulsion system for the 6 ? 6 medium truck

Filipi, Zoran; Louca, Loucas S.; Daran, B.; Lin, Chen; Yildir, U.; Wu, Bin; Kokkolaras, Michael; Assanis, Dennis N.; Peng, Huei; Papalambros, Panos Y.; Stein, Jeffrey L.; Szkubiel, D.; Chapp, R.

doi:10.1504/ijhvs.2004.005458

Cited by 123 publications

(93 citation statements)

References 33 publications

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“…Based on their increased kerb weight, Sport Utility Vehicles (SUVs) are assumed to lend themselves more easily to hybridization [25,26]. Off-road applications considered include medium-and heavy-duty military vehicles [27,28,29].…”

Section: Applicationsmentioning

confidence: 99%

“…[56]). Filipi et al [28], however, point out the interdependencies between design and control parameters as well as the usage profile of an application for a concept evaluation.…”

Section: Design Of Hydraulic Hybrid Transmissionsmentioning

confidence: 99%

“…Filipi et al [28] present a sequential optimization procedure with iterative elements for a parallel hydraulic hybrid heavy truck transmission. Initially, the transmission's components are optimized for fuel economy subject to performance constraints via multi-start sequential quadratic programming.…”

Section: Design Of Hydraulic Hybrid Transmissionsmentioning

confidence: 99%

“…Due to the forward-facing nature of the simulation model, however, it needs to be guaranteed that the vehicle actually performs the driving task sufficiently [70]. Absolute deviation limits as employed in [28] (somewhat modulated in [50]) can be systematically abused; to prevent this, the total deviation of the vehicle speed v veh from the reference drive cycle v ref is related to the total distance covered, x cycle , in the dimensionless Average Relative Velocity Deviation (ARVD) measure to quantify the tracking.…”

Section: Framework For Simulation-based Optimizationmentioning

confidence: 99%

“…Matheson and Stecki [109] reported difficulties in getting the gradient-based FMINCON method to successfully complete the optimization, and Fellini [110] pointed out that the Complex method had proven successful in the optimization problem provided, and handled problems with discontinuities and noise well. Filipi et al [28] utilized the sequential quadratic programming algorithm in combination with a multi-start approach, distributing starting points for several separate optimization attempts.…”

Section: Optimization Algorithmmentioning

confidence: 99%

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Simulation-Based Optimization of a Series Hydraulic Hybrid Vehicle

Bær¹

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"The brick walls are there for a reason. (...) [They] are there to give us a chance to show how badly we want something. Randy Pausch AbstractHybrid transmissions are characterized by their utilization of more than one form of energy storage. They have the potential to help reduce overall fuel consumption and vehicle emissions by providing the possibility of brake energy recuperation and prime mover operation management. Electric hybrids and electric vehicle drives are nowadays ubiquitous, and mechanical energy storage in flywheel has been investigated in the past. The use of fluid power technology with a combustion engine has also been investigated since the late 1970s, and is frequently revisited.Hydraulic hybridization is especially attractive for heavy vehicles with frequent braking and acceleration which benefit most from fluid power components' high power density, typically busses, delivery or refuse vehicles, and vehicles with existing hydraulic circuits and transmissions, such as forest and construction machinery, but have been considered for smaller vehicles as well.Due to the characteristic discharge profile of hydraulic energy storage, special attention needs to be paid to control aspects in the design process to guarantee drivability of the vehicle. In this respect, simulation models can be of use in early design process stages for cheaper and faster evaluation of concepts and designs than physical experiments and prototyping, and to generate better understanding of the system studied. Engineering optimization aids in the systematic exploration of a given design space, to determine limits and potentials, evaluate trade-offs and potentially find unexpected solutions. In the optimization of a hydraulic hybrid transmission, the integration of component and controller design is of importance, and different strategies (sequential, iterative, bi-level and simultaneous approaches) are conceivable, with varying consequences for the implementation.This thesis establishes a simulation-based optimization framework for a hydraulic hybrid transmission with series architecture. Component and control parameter optimization are addressed simultaneously, using a rule-based supervisory control strategy. The forward-facing dynamic simulation model at the centre of the framework is built in Hopsan, a multi-disciplinary open-source tool developed at Linköping University. The optimization is set up and conducted for an example application of an on-road light-duty truck over standard drive i cycles. Both results from these experiments as well as the framework itself are studied and evaluated. Relevant design aspects, such as explicit design relations to be considered and performance requirements for more robust design, are identified and addressed, and the optimization problem is analysed with regard to algorithm performance and problem formulation. The final result is an optimization framework that can be adjusted for further in-depth studies, for example through the inclusion of additional components or optimization obj...

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Section: Applicationsmentioning

confidence: 99%

“…[56]). Filipi et al [28], however, point out the interdependencies between design and control parameters as well as the usage profile of an application for a concept evaluation.…”

Section: Design Of Hydraulic Hybrid Transmissionsmentioning

confidence: 99%

Section: Design Of Hydraulic Hybrid Transmissionsmentioning

confidence: 99%

Section: Framework For Simulation-based Optimizationmentioning

confidence: 99%

Section: Optimization Algorithmmentioning

confidence: 99%

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Simulation-Based Optimization of a Series Hydraulic Hybrid Vehicle

Bær¹

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Combined Design and Control Optimization of Hybrid Vehicles

Murgovski¹,

Hu²,

Johannesson³

et al. 2015

Handbook of Clean Energy Systems

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Hybrid vehicles play an important role in reducing energy consumption and pollutant emissions of ground transportation. The increased mechatronic system complexity, however, results in a heavy challenge for efficient component sizing and power coordination among multiple power sources. This chapter presents a convex programming framework for the combined design and control optimization of hybrid vehicles. An instructive and straightforward case study of design and energy control optimization for a fuel cell/supercapacitor hybrid bus is delineated to demonstrate the effectiveness and the computational advantage of the convex programming methodology. Convex modeling of key components in the fuel cell/supercapactior hybrid powertrain is introduced, while a pseudo code in CVX is also provided to elucidate how to practically implement the convex optimization. The generalization, applicability, and validity of the convex optimization framework

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