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Automatic Transmission Shift Strategy Based on Greedy Algorithm Using Predicted Velocity

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Abstract

Control strategies for the vehicle equipped with an automatic transmission greatly affects the fuel economy and drivability. In general, the gear shift of automatic transmission is controlled based on the two-dimensional lookup tables. The lookup tables are calibrated based on the experimental results at a steady state condition. However, this method has a limitation on improving the fuel efficiency in a dynamic driving environment like an urban condition. In order to improve the fuel efficiency, this study proposes an optimal gear shift strategy based on the greedy control method using the predicted velocity. Since future driving conditions can be estimated using predicted velocity, optimal gear shifting is searched using a greedy algorithm based on the predicted velocity. A PI-type driver model and powertrain model are designed to calculate the forecasting vehicle states after gear shifting with predicted velocity. The proposed strategy was validated through the simulation of the urban driving cycle using various time period predicted velocity. Results show fuel efficiency was improved by up to 1.6% while shiftbusyness is prevented compared with the shift pattern which focused on fuel economy. As a result, the proposed strategy is affordable for improving not only the fuel economy but also the drivability in the dynamic driving environment.

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Abbreviations

A:

area, m2

N:

rotational speed, rad/s

T:

torque, Nm

P:

power, W

I:

inertia of mass, kgm2

V:

velocity, m/s

m:

mass, kg

r:

radius, m

x:

state

acc:

acceleration

brk:

brake

c:

choice

eng:

engine

fin:

final gear

grad:

gradient

pump:

torque converter pump

tm:

transmission

turb:

torque converter turbine

u:

action

ref:

reference

veh:

vehicle

whl:

wheel

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Acknowledgement

The support of the research work presented in this paper by AVL List GmbH in providing licenses of AVL CRUISE within the frame of its University Partnership Program and the research fund of Hyundai motor company are gratefully acknowledged. This work was also financially supported by the BK21 plus program (22A20130000045) under the Ministry of Education, Republic of Korea, the Industrial Strategy Technology Development Program (No. 10039673, 10060068, 10042633, 10079961, 10080284), the International Collaborative Research and Development Program (N0001992) under the Ministry of Trade, Industry and Energy (MOTIE Korea), and National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) (No. 2011-0017495).

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Authors and Affiliations

  1. Auto Transmission Test Team, Hyundai Motor Company, 150 Hyundaiyeonguso-ro, Namyang-eup, Hwaseong-si, Gyeonggi, Seoul, 18280, Korea

    Dongwon Jeoung

  2. Department of Automotive Engineering, Hanyang University, Seoul, 04763, Korea

    Kyunghan Min & Myoungho Sunwoo

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  1. Dongwon Jeoung
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  2. Kyunghan Min
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  3. Myoungho Sunwoo
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Correspondence to Myoungho Sunwoo.

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Jeoung, D., Min, K. & Sunwoo, M. Automatic Transmission Shift Strategy Based on Greedy Algorithm Using Predicted Velocity. Int.J Automot. Technol. 21, 159–168 (2020). https://doi.org/10.1007/s12239-020-0016-9

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  • DOI: https://doi.org/10.1007/s12239-020-0016-9

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