Efficient solution of the diesel-engine optimal control problem by time-domain decomposition

Asprion, Jonas; Chinellato, Oscar; Guzzella, Lino

doi:10.1016/j.conengprac.2014.05.007

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…The same method is used in a manifold of applications to minimise a cost function with constraints, such as [34][35][36]. Among the applications that are based on this method, one can enumerate the following: trajectory planning for unmanned ground vehicles [37], optimal control of a diesel engine [38], minimisation of fuel consumption in a hybrid electric vehicle [39], control of dynamics of a robot manipulator [40] and thermal applications [41,42]. The main advantages of our proposed solution with respect to similar works are:…”

Section: Introductionmentioning

confidence: 99%

Multivariable Optimisation for Waiting-Time Minimisation at Roundabout Intersections in a Cyber-Physical Framework

Pauca

Maxim

Caruntu

2021

Sensors

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The evolution of communication networks offers new possibilities for development in the automotive industry. Smart vehicles will benefit from the possibility of connecting with the infrastructure and from an extensive exchange of data between them. Furthermore, new control strategies can be developed that benefit the advantages of these communication networks. In this endeavour, the main purposes considered by the automotive industry and researchers from academia are defined by: (i) ensuring people’s safety; (ii) reducing the overall costs, and (iii) improving the traffic by maximising the fluidity. In this paper, a cyber-physical framework (CPF) to control the access of vehicles in roundabout intersections composed of two levels is proposed. Both levels correspond to the cyber part of the CPF, while the physical part is composed of the vehicles crossing the roundabout. The first level, i.e., the edge-computing layer, is based on an analytical solution that uses multivariable optimisation to minimise the waiting times of the vehicles entering a roundabout intersection and to ensure a safe crossing. The second level, i.e., the cloud-computing layer, stores information about the waiting times and trajectories of all the vehicles that cross the roundabout and uses them for long-term analysis and prediction. The simulated results show the efficacy of the proposed method, which can be easily implemented on an embedded device for real-time operation.

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Section: Introductionmentioning

confidence: 99%

Multivariable Optimisation for Waiting-Time Minimisation at Roundabout Intersections in a Cyber-Physical Framework

Pauca

Maxim

Caruntu

2021

Sensors

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“…Research on the optimization of diesel engine transient operations also attracts several researchers such as [84], [5] and [4]. During wheel loader operation almost all different wheel loader subsystems are employed simultaneously while research on modeling and OC for the total system during loading operation is rare.…”

Section: Wheel Loader Modeling and Controlmentioning

confidence: 99%

Modeling and Optimal Control of Heavy-Duty Powertrains

Nezhadali

2016

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The cover: The background photo on the cover shows the Roxen lake with Linköping on it's horizon. At the begining of my very first presentation in Linz 2013, I introduced the city of my studies with this picture. I wanted to finish with the same picture which will remind me of my 7 years in Linköping whenever I look at this dissertation. The graphic figure on top of the background, shows the feasible regions of operation for two subsystems, and two sets of state trajectories. More about this is described at the end of chapter 2. Typeset with L A T E X 2εPrinted by LiU-Tryck, Linköping, Sweden 2016 To Samira and my parents i AbstractHeavy duty powertrains are complex systems with components from various domains, different response times during transient operations and different efficient operating ranges. To ensure efficient transient operation of a powertrain, e.g. with low fuel consumption or short transient duration, it is important to come up with proper control strategies. In this dissertation, optimal control theory is used to calculate and analyze efficient heavy duty powertrain controls during transient operations in different applications. This is enabled by first developing control ready models, usable for multi-phase optimal control problem formulations, and then using numerical optimal control methods to calculate the optimal transients.Optimal control analysis of a wheel loader operating in a repetitive loading cycle is the first studied application. Increasing fuel efficiency or reducing the operation time in such repetitive loading cycles sums up to large savings over longer periods of time. Load lifting and vehicle traction consume almost all of the power produced by a diesel engine during wheel loader operation. Physical models are developed for these subsystems where the dynamics are described by differential equations. The model parameters are tuned and fuel consumption estimation is validated against measured values from real wheel loader operation. The sensitivity of wheel loader trajectory with respect to constrains such as the angle at which the wheel loader reaches the unloading position is also analyzed. A time and fuel optimal trajectory map is calculated for various unloading positions. Moreover, the importance of simultaneous optimization of wheel loader trajectory and the component transients is shown via a side to side comparison between measured fuel consumption and trajectories versus optimal control results.In another application, optimal control is used to calculate efficient gear shift controls for a heavy duty Automatic Transmission system. A modeling and optimal control framework is developed for a nine speed automatic transmission. Solving optimal control problems using the developed model, time and jerk efficient transient for simultaneous disengagement of off-going and engagement of in-coming shift actuators are obtained and the results are analyzed.Optimal controls of a diesel-electric powertrain during a gear shift in an Automated Manual Transmission system are calcula...

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“…The fuel consumption is minimized subject to limits on emissions. A lot of attention is given to formulating and solving the problem, a topic also studied in [5], investigating effects of different discretization techniques as well as different nonlinear program (NLP) solvers. The optimal solutions are also validated on a real engine.…”

Section: Optimal Control Of Diesel Enginesmentioning

confidence: 99%

Optimal Control of Electrified Powertrains

Sivertsson

2015

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The cover: Front: Formulation and solution of an optimal control problem, coincidentally the benchmark problem in Paper 6. Back: Positive and not so positive exit messages from the solvers used in the dissertation. Typeset with L A T E X 2εPrinted by LiU-Tryck, Linköping, Sweden 2015 i Abstract Vehicle powertrain electrification, i.e. combining the internal combustion engine (ICE) with an electric motor (EM), is a potential way of meeting the increased demands for efficient and low emission transportation, at a price of increased powertrain complexity since more degrees of freedom (DoF) have been introduced. Optimal control is used in a series of studies of how to best exploit the additional DoFs.In a diesel-electric powertrain the absence of a secondary energy storage and mechanical connection between the ICE and the wheels means that all electricity used by the EMs needs to be produced simultaneously by the ICE, whose rotational speed is a DoF. This in combination with the relatively slow dynamics of the turbocharger in the ICE puts high requirements on good transient control.In optimal control studies, accurate models with good extrapolation properties are needed. For this aim two nonlinear physics based models are developed and made available that fulfill these requirements, these are also smooth in the region of interest, to enable gradient based optimization techniques. Using optimal control and one of the developed models, the turbocharger dynamics are shown to have a strong impact on how to control the powertrain and neglecting these can lead to erroneous estimates both in the response of the powertrain as well as how the powertrain should be controlled. Also the objective, whether time or fuel is to be minimized, influences the engine speed-torque path to be used, even though it is shown that the time optimal solution is almost fuel optimal. To increase the freedom of the powertrain control, a small energy storage can be added to assist in the transients. This is shown to be especially useful to decrease the response time of the powertrain, but the manner it is used, depends on the time horizon of the optimal control problem.The resulting optimal control solutions are for certain cases oscillatory when stationary controls would have been expected. This is shown to be neither an artifact of the discretization used nor a result of the modeling assumptions used. Instead it is for the formulated problems actually optimal to use periodic control in certain stationary operating points. Measurements show that the pumping torque is different depending on whether the controls are periodic or constant despite the same average value. Whether this is beneficial or not depends on the operating point and control frequency, but can be predicted using optimal periodic control theory.In hybrid electric vehicles (HEV) the size of the energy storage reduces the impact of poor transient control, since the battery can compensate for the slower dynamics of the ICE. For HEVs the problem instead is how and when to use the b...

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Efficient solution of the diesel-engine optimal control problem by time-domain decomposition

Cited by 5 publications

References 22 publications

Multivariable Optimisation for Waiting-Time Minimisation at Roundabout Intersections in a Cyber-Physical Framework

Multivariable Optimisation for Waiting-Time Minimisation at Roundabout Intersections in a Cyber-Physical Framework

Modeling and Optimal Control of Heavy-Duty Powertrains

Optimal Control of Electrified Powertrains

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