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Development of Predictive Powertrain State Switching Control for Eco-Saving ACC
Technical Paper
2017-01-0024
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In recent years, improvement of in-use fuel economy is required with tightening of exhaust emission regulation. We assume that one of the most effective solutions is ACC (Adaptive Cruise Control), which can control a powertrain accurately more than a driver. We have been developing a fuel saving ADAS (Advanced Driver Assistance System) application named “Sailing-ACC”. Sailing-ACC system uses sailing stop technology which stops engine fuel injection, and disengages a clutch coupling a transmission when a vehicle does not need acceleration torque. This system has a potential to greatly improve fuel efficiency. In this paper, we present a predictive powertrain state switching algorithm using external information (route information, preceding vehicle information). This algorithm calculates appropriate switching timing between a sailing stop mode and an acceleration mode to generate a “pulse-and-glide” pattern. In addition, future behavior of a preceding vehicle is predicted with a probabilistic algorithm to optimize switching timing. This algorithm uses a stereo camera and digital map information. As a result of driving experiments in a test course, fuel efficiency was improved by 43.4% in case of following travel around 40km/h. Additionally we evaluated practical performance of Sailing-ACC by simulation which simulated actual environment including a preceding vehicle and planimetric features. A result of following simulation was shown that the developed algorithm improved fuel efficiency by 38.8% during driving in a city area.
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Imanishi, Y., Tashiro, N., Iihoshi, Y., and Okada, T., "Development of Predictive Powertrain State Switching Control for Eco-Saving ACC," SAE Technical Paper 2017-01-0024, 2017, https://doi.org/10.4271/2017-01-0024.Data Sets - Support Documents
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References
- Mueller , N. , Strauss , S. , Tumback , S. , Goh , G. et al. Next Generation Engine Start/Stop Systems: “Free-Wheeling” SAE Int. J. Engines 4 1 874 887 2011 10.4271/2011-01-0712
- Shengbo Eben Li , Huei Peng Strategies to Minimize Fuel Consumption of Passenger Cars during Car-Following Scenarios Proceedings of the 2011 American Control Conference:2107-2112 2011 10.1109/ACC.2011.5990786
- Shengbo Eben Li , Huei Peng , Keqiang Li , and Jianqiang Wang Minimum Fuel Control Strategy in Automated Car-Following Scenarios IEEE Trans. on Vehicular Technology 61 3 998 1007 2012 10.1109/TVT.2012.2183401
- Santin , O. , Pekar , J. , Beran , J. , D’Anthony , A. et al. Cruise Controller with Fuel Optimization Based on Adaptive Nonlinear Predictive Control SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 9 2 2016
- Kevin McDonough , Ilya Kolmanovsky , Dimitar Filev , Diana Yanakiev , Steve Szwabowski , and John Michelini Stochastic Dynamic Programming Control Policies for Fuel Efficient Vehicle Following 2013 American Control Conference:1350-1355 2013 10.1109/ACC.2013.6580024
- Vicent Milanes , Shladover Steven E. , John Spring , Christopher Nowakowski , Hiroshi Kawazoe , and Masahide Nakamura Cooperative Adaptive Cruise Control in Real Traffic Situation IEEE trans. on Intelligent Transportation Systems 15 1 295 305 2014 10.1109/TITS.2013.2278494
- Sinan Oncu , Jeroen Ploeg , Nathan van de Wouw , and Henk Nijmeijer Cooperative Adaptive Cruise Control: Network-Aware Analysis of String Stability IEEE trans. on Intelligent Transportation Systems 15 4 1527 1537 2014 10.1109/TITS.2014.2302816
- Christopher Bishop Pattern Recognition and Machine Learning Springer 2010
- Bando M. , Hasebe K. , Nakayama A. , Shibata A. , and Sugiyama Y. Dynamical Model of Traffic Congestion and Numerical Simulation Phys. Rev. E51 1035 1042 1995