scholarly journals Driving Mode Optimization for Hybrid Trucks Using Road and Traffic Preview Data

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5341
Author(s):  
Yutao Chen ◽  
Nazar Rozkvas ◽  
Mircea Lazar
Keyword(s):  
Fuel Consumption ◽  
Minimum Principle ◽  
Optimal Solution ◽  
Real World Data ◽  
Engine Torque ◽  
Driving Mode ◽  
Tuning Parameters ◽  
Controlled Switching ◽  
Warm Start ◽  
Optimal Driving

This paper proposes a predictive driver coaching (PDC) system for fuel economy driving for hybrid electric trucks using upcoming static map and dynamic traffic data. Unlike traditional methods that optimize over engine torque and brake to obtain a speed profile, we propose to optimize over driving modes of trucks to achieve a trade-off between fuel consumption and trip time. The optimal driving mode is provided to the driver as a coaching recommendation. To obtain the optimal solution, the truck dynamics are firstly modeled as a hybrid controlled switching dynamical system with autonomous subsystems and then a hybrid optimal control problem (HOCP) is formulated. The problem is solved using an algorithm based on discrete hybrid minimum principle. A warm-start strategy to reduce algorithmic iterations is used by employing a shrinking horizon strategy. In addition, an extensive analysis of the proposed algorithm is provided. We prove that the the coasting mode is never optimal given the truck configuration and and we provide a guideline for tuning parameters to maintain the optimal mode sequence. Finally, the algorithm is validated using real-world data from baseline driving tests using a DAF hybrid truck. Significant reduction in fuel consumption is achieved when the data is perfectly available.

scholarly journals Control and Powertrain Management for Multi-Autonomous Hybrid Vehicles

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Masood Ghasemi ◽  
Xingyong Song
Keyword(s):  
Real Time ◽  
Fuel Consumption ◽  
Autonomous Vehicles ◽  
Minimum Principle ◽  
Optimal Solution ◽  
Algebraic Equations ◽  
Computationally Efficient ◽  
Hybrid Powertrain ◽  
Fuel Consumption Rate ◽  
Optimal Approach

The need for less fuel consumption and the trend of higher level of autonomy together urge the power optimization in multihybrid autonomous vehicles. Both the multivehicle coordination control and the hybrid powertrain energy management should be optimized to maximize fuel savings. In this paper, we intend to have a computationally efficient framework to optimize them individually and then evaluate the overall control performance. The optimization is conducted in series. First is at the multivehicle system's level where the distributed locally optimal solution is given for vehicles with nonlinear dynamics. Second, the powertrain management optimization is conducted at the hybrid powertrain level. We provide an analytical formulation of the powertrain optimization for each hybrid vehicle by using Pontryagin's minimum principle (PMP). By approximating the optimal instantaneous fuel consumption rate as a polynomial of the engine speed, we can formulate the optimization problem into a set of algebraic equations, which enables the computationally efficient real-time implementation. To justify the applicability of the methodology in real-time, we give directions on numerical iterative solutions for these algebraic equations. The analysis on the stability of the method is shown through statistical analysis. Finally, further simulations are given to confirm the efficacy and the robustness of the proposed optimal approach. An off-road example is given in the simulation, although the framework developed can be applied to on-road scenario as well.

Quasi-Periodic Control Technique for Minimizing Fuel Consumption During Record Vehicle Competition

2013 ◽  
Vol 60 (2) ◽  
pp. 185-197 ◽  
Author(s):  
Paweł Sulikowski ◽  
Ryszard Maronski
Keyword(s):  
Fuel Consumption ◽  
Optimal Control Theory ◽  
Slope Angle ◽  
Control Technique ◽  
Decision Variables ◽  
Aeronautical Engineering ◽  
The One ◽  
Optimal Driving ◽  
The Given ◽  
Engine Power

The problem of the optimal driving technique during the fuel economy competition is reconsidered. The vehicle is regarded as a particle moving on a trace with a variable slope angle. The fuel consumption is minimized as the vehicle covers the given distance in a given time. It is assumed that the run consists of two recurrent phases: acceleration with a full available engine power and coasting down with the engine turned off. The most fuel-efficient technique for shifting gears during acceleration is found. The decision variables are: the vehicle velocities at which the gears should be shifted, on the one hand, and the vehicle velocities when the engine should be turned on and off, on the other hand. For the data of students’ vehicle representing the Faculty of Power and Aeronautical Engineering it has been found that such driving strategy is more effective in comparison with a constant speed strategy with the engine partly throttled, as well as a strategy resulting from optimal control theory when the engine is still active.

The effect of highway geometry on fuel consumption of heavy-duty vehicles operating in eco-driving mode

2017 ◽  
pp. 2179-2185
Author(s):  
G.K. Booto ◽  
R.A. Bohne ◽  
H. Vignisdottir ◽  
K. Pitera ◽  
G. Marinelli ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Heavy Duty ◽  
Driving Mode ◽  
Heavy Duty Vehicles

Extensions to the Taguchi Method of Product Design

1991 ◽  
Author(s):  
Kevin N. Otto ◽  
Erik K. Antonsson
Keyword(s):  
Taguchi Method ◽  
Product Design ◽  
Design Space ◽  
Optimal Solution ◽  
Taguchi’S Method ◽  
Design Problems ◽  
Tuning Parameters ◽  
Factorial Method ◽  
Definition Of ◽  
Range Of Values

Abstract The Taguchi method of product design is an experimental approximation to minimizing the expected value of target variance for certain classes of problems. Taguchi’s method is extended to designs which involve variables each of which has a range of values all of which must be satisfied (necessity), and designs which involve variables each of which has a range of values any of which might be used (possibility). Tuning parameters, as a part of the design process, are also introduced into Taguchi’s method. The method is also extended to solve design problems with constraints, invoking the methods of constrained optimization. Finally, the Taguchi method uses a factorial method to search the design space, with a confined definition of an optimal solution. This is compared with other methods of searching the design space and their definition of an optimal solution.

Optimal integrated energy management and shift control in parallel hybrid electric vehicles with dual-clutch transmission

2019 ◽  
Vol 234 (2-3) ◽  
pp. 599-609
Author(s):  
Guoqiang Li ◽  
Daniel Görges
Keyword(s):  
Fuel Consumption ◽  
Energy Management ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Weighting Factor ◽  
Engine Torque ◽  
Shift Control ◽  
Parallel Hybrid ◽  
Power Split ◽  
Hc Emissions

This paper addresses the integration of the energy management and the shift control in parallel hybrid electric vehicles with dual-clutch transmission to reduce the fuel consumption, decrease the pollutant emissions, and improve the driving comfort simultaneously. Dynamic programming with a varying weighting factor in the cost function is proposed to balance the shift frequency and the fuel consumption for the power-split control and gear schedule design. Simulation results present that the drivability can be improved with a varying weighting factor due to fewer shift events while the fuel consumption is only slightly increased compared to dynamic programming with a constant weighting factor. A shift-energy-management strategy integrating the upshift and power-split control based on a multi-objective optimization is presented where model predictive control is employed to ensure engine load rate constraints. The strategy can smoothen the engine torque through torque compensation from the electric motor to prevent engine transient emissions resulting from a sudden load change. In a simulation study, the NOx and HC emissions could be reduced by 1.4% and 2.6% with 2% increase of the overall fuel consumption for the Federal Test Procedure 75 by smoothening the engine torque. For the New European Driving Cycle, 0.9% and 1.1% reduction of NOx and HC emissions could be achieved with only 0.3% more fuel consumption.

Dynamic Modeling and Control of an Hybrid Electric Powertrain for Simulation Under Transient Conditions

2009 ◽  
Author(s):  
Ronan Crosnier ◽  
Jean-Franc¸ois Hetet
Keyword(s):  
Fuel Consumption ◽  
Hybrid Electric Vehicle ◽  
Power Stroke ◽  
Engine Fuel ◽  
Energy Management Strategy ◽  
Modeling And Control ◽  
Engine Torque ◽  
Hybrid Electric ◽  
And Control ◽  
Engine Map

This article presents a causal, forward looking approach for the hybrid electric vehicle where the typical performance engine map representation has been modified. The need for a more physical model of the power stroke process has been fulfilled with “the filling and emptying” method. The thermodynamic states in the intake and exhaust systems are calculated, while the in-cylinder process is still based on the engine fuel consumption map as a calibrated data. Comparisons with the conventional model are established, most important is the response of the engine torque under the load demand. This notion of an “available” torque is taken into account by the energy management strategy. Changes on the distribution of energy flow in order to meet the required torque at the wheel are observed and influence of this modelisation on the fuel consumption over various driving cycles is evaluated.

Renewable Fuel Performance in a Legacy Military Diesel Engine

2011 ◽  
Author(s):  
Leonard J. Hamilton ◽  
Sherry A. Williams ◽  
Richard A. Kamin ◽  
Matthew A. Carr ◽  
Patrick A. Caton ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Fuel Consumption ◽  
Vegetable Oil ◽  
Ignition Delay ◽  
Jet Fuel ◽  
Combustion Characteristics ◽  
Load Range ◽  
Engine Torque ◽  
Brake Torque ◽  
Renewable Fuel

A new Hydrotreated Vegetable Oil (HVO) from the camelina plant has been processed into a Hydrotreated Renewable Jet (HRJ) fuel. This HRJ fuel was tested in an extensively instrumented legacy military diesel engine along with conventional Navy jet fuel JP-5. Both fuels performed well across the speed-load range of this HMMWV engine. The high cetane value of the HRJ leads to modestly shorter ignition delay. The longer ignition delay of JP-5 delivers shorter overall combustion durations, with associated higher indicated engine torque levels. Both brake torque and brake fuel consumption are better with conventional JP-5 by up to ten percent, due to more ideal combustion characteristics.

scholarly journals State-Based Switching for Optimal Control of Computer Virus Propagation with External Device Blocking

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Qingyi Zhu ◽  
Seng W. Loke ◽  
Ye Zhang
Keyword(s):  
Optimal Control ◽  
Control Strategies ◽  
Minimum Principle ◽  
Optimal Solution ◽  
Computer Virus ◽  
Numerical Results ◽  
Difference Approximation ◽  
External Device ◽  
Virus Propagation ◽  
The Impact

The rapid propagation of computer virus is one of the greatest threats to current cybersecurity. This work deals with the optimal control problem of virus propagation among computers and external devices. To formulate this problem, two control strategies are introduced: (a) external device blocking, which means prohibiting a fraction of connections between external devices and computers, and (b) computer reconstruction, which includes updating or reinstalling of some infected computers. Then the combination of both the impact of infection and the cost of controls is minimized. In contrast with previous works, this paper takes into account a state-based cost weight index in the objection function instead of a fixed one. By using Pontryagin’s minimum principle and a modified forward-backward difference approximation algorithm, the optimal solution of the system is investigated and numerically solved. Then numerical results show the flexibility of proposed approach compared to the regular optimal control. More numerical results are also given to evaluate the performance of our approach with respect to various weight indexes.

Proposal on Fuel Consumption Efficiency Improvement Guidelines for New Driving Mode WLTC

2018 ◽  
Vol 2018.28 (0) ◽  
pp. 407
Author(s):  
Rikuto UEYAMA ◽  
Shintaro NAKAI ◽  
Hiroto HATA ◽  
Masashi TANAMURA ◽  
Jin KUSAKA
Keyword(s):  
Fuel Consumption ◽  
Efficiency Improvement ◽  
Driving Mode ◽  
Consumption Efficiency

Optimization of a turbocharger and supercharger compound boosting system for a Miller cycle engine

2017 ◽  
Vol 232 (2) ◽  
pp. 238-253 ◽  
Author(s):  
Yongsheng He ◽  
David Sun ◽  
Jim Liu ◽  
Bin Zhu
Keyword(s):  
Power Consumption ◽  
Fuel Consumption ◽  
Air Flow ◽  
Expansion Ratio ◽  
Spark Ignition Engine ◽  
Engine Fuel ◽  
Miller Cycle ◽  
Engine Torque ◽  
Variable Valve Actuation ◽  
System Configurations

This paper describes the design optimization of a compound boosting system consisting of a turbocharger and a supercharger for a 2.0 l four-cylinder Miller cycle engine which has a high expansion ratio of 12.0:1 and variable valve actuation. Various system configurations and supercharger sizes were evaluated numerically and experimentally to reduce the supercharger power consumption and the engine fuel consumption while maintaining the same engine torque performance in steady-state conditions. The supercharger–turbocharger boosting system with a V400 supercharger showed an average engine fuel consumption that was 2.8% lower in boosted conditions than did the turbocharger–supercharger boosting system with the same V400 supercharger; this was predicted by engine cycle simulations and verified by experiments. When the supercharger was placed upstream of the turbocharger, the supercharger inlet pressure was lower and the total mass flow rate through the supercharger was reduced, which reduced the supercharger power consumption and the bypass air flow. The turbocharger–supercharger boosting system with a smaller supercharger (R340 or V250) significantly improved the engine efficiency (by 3.3% or 5.0% respectively in comparison with the turbocharger–supercharger boosting system with a V400 supercharger), by reducing the mass air flow rates through the supercharger and minimizing the supercharger power consumption. The turbocharger–supercharger boosting system with a V250 supercharger achieved the lowest engine fuel consumption in full-load conditions of all the turbocharger and supercharger compound boosting system options evaluated for the 2.0 l Miller cycle engine on the basis of the simulation results. This study defined the optimal system layout and the optimal supercharger size for implementing the turbocharger and supercharger compound boosting system on a 2.0 l Miller cycle spark ignition engine to maximize the improvement in the fuel economy of the vehicle while maintaining the same torque performance.

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