Virtual Optimization of Vehicle and Powertrain Parameters with Consideration of Human Factors

Schoeggl, Peter; Kriegler, Wolfgang; Bogner, Erik

doi:10.4271/2005-01-1945

Cited by 8 publications

(6 citation statements)

References 3 publications

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“…This paper analyzes information from the acceleration signal and computes various parameters as mentioned by Wei et al [1], to arrive at the driveability measures. Signals below 10 Hz are not perceivable by humans as is mentioned by Schoeggl et al [5].…”

Section: Introductionmentioning

confidence: 86%

“…The references to driveability measures by Wei et al [1] and Yard [2] provide a good insight about measuring different driveability evaluation metrics. There are also commercially available software packages like AVL Drive [3,4,5] that can be used to evaluate the acceleration profile of a vehicle using neural network algorithms, analyze the data from different vehicles and the ratings provided by different experienced drivers. This paper analyzes information from the acceleration signal and computes various parameters as mentioned by Wei et al [1], to arrive at the driveability measures.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impact of Different Desired Velocity Profiles and Controller Gains on Convoy Driveability of Cooperative Adaptive Cruise Control Operated Platoons

Tamilarasan

Güvenç

2017

SAE Int. J. Passeng. Cars - Mech. Syst.

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As the development of autonomous vehicles rapidly advances, the use of convoying/platooning becomes a more widely explored technology option for saving fuel and increasing the efficiency of traffic. In cooperative adaptive cruise control (CACC), the vehicles in a convoy follow each other under adaptive cruise control (ACC) that is augmented by the sharing of preceding vehicle acceleration through the vehicle to vehicle communication in a feedforward control path. In general, the desired velocity optimization for vehicles in the convoy is based on fuel economy optimization, rather than driveability. This paper is a preliminary study on the impact of the desired velocity profile on the driveability characteristics of a convoy of vehicles and the controller gain impact on the driveability. A simple low-level longitudinal model of the vehicle has been used along with a PD type cruise controller and a generic spacing policy for ACC/CACC. The acceleration of the previous vehicle is available to the next vehicle as input, and the simulations are performed as Cooperative Adaptive Cruise Control of a convoy of vehicles. Individual vehicle acceleration profiles have been analyzed for driveability for two different velocity profiles that are followed in a stretch of 720 m between stop signs. The controller gains have been re-tuned based on the parameter space robust control PID approach for driveability and compared with the original gains. The US06 SFTP drive cycle has also been used for the comparison of the two different controller gain sets.

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Section: Introductionmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Impact of Different Desired Velocity Profiles and Controller Gains on Convoy Driveability of Cooperative Adaptive Cruise Control Operated Platoons

Tamilarasan

Güvenç

2017

SAE Int. J. Passeng. Cars - Mech. Syst.

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show abstract

“…The CVT variogram such as the one shown in Figure 10 is the optimal economic variogram that can be generated by using optimization software tools and an optimization algorithm. The quantity of calibration test works via bench tests and road tests can be decreased because of this feature [27].…”

Section: Cvt Variogram Generationmentioning

confidence: 99%

Car Fuel Economy Simulation Forecast Method Based on CVT Efficiencies Measured from Bench Test

Lei

Jia

et al. 2018

Chin. J. Mech. Eng.

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Researchers face difficulties in studying the effects of driveline efficiency on car fuel economy via bench and road tests because of long working periods, high costs, and heavy workloads. To simplify the study process and shorten test cycles, a car fuel economy simulation forecast method for combining computer simulation forecasting with bench tests is proposed. Taking a continuously variable transmission (CVT) as the research object, a transmission efficiency model based on a bench test is constructed. An optimal economic variogram based on the original CVT variogram, the boundary conditions of vehicle performance, the road conditions and the driving behavior of the driver is generated in the Gear Shift Program (GSP)-Generation module in AVL Cruise. And on this basis a driveline simulation model that can calculate the fuel consumption based on the driveline data of a test car is built. The model is used to forecast fuel consumption and calculate real-time CVT efficiency under different conditions. Contrastive analyses on simulation results and real car drum test results are made. The largest error between simulation results and drum test results in driving cycles is 4.099%, which is 5.449% under constant velocity condition in driver control mode and 4.2% under constant velocity condition in automatic cruise mode. The results confirm the feasibility of the method and the good performance of the driveline simulation model in accurately forecasting fuel consumption. The method can efficiently investigate the effects of driveline efficiency on car fuel economy. Moreover, this research provides instruction for accurately forecasting fuel economy as well as references for studies on the effects of drivelines on car fuel economy. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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“…Due to the need to add other energy conversion devices on the power system, the weight of the whole vehicle is increased to a certain extent, and the original power system is disturbed. Therefore, the study on parameters matching and control strategy of hybrid vehicles is the core and the most important issue [1, 2].…”

Section: Forewordmentioning

confidence: 99%

Parameters and control optimisation of hybrid vehicle based on simulation model

Wang

Liu

Wang

et al. 2018

J. eng.

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Virtual Optimization of Vehicle and Powertrain Parameters with Consideration of Human Factors

Cited by 8 publications

References 3 publications

Impact of Different Desired Velocity Profiles and Controller Gains on Convoy Driveability of Cooperative Adaptive Cruise Control Operated Platoons

Impact of Different Desired Velocity Profiles and Controller Gains on Convoy Driveability of Cooperative Adaptive Cruise Control Operated Platoons

Car Fuel Economy Simulation Forecast Method Based on CVT Efficiencies Measured from Bench Test

Parameters and control optimisation of hybrid vehicle based on simulation model

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