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Automotive Engineering ›› 2020, Vol. 42 ›› Issue (10): 1335-1339.doi: 10.19562/j.chinasae.qcgc.2020.10.006

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Real-time Optimization Algorithm for Truck Predictive Cruise Based on ADAS Map

Wang Yuhai1,2, Li Xingkun3, Zhang Penglei3, Zheng Xuguang2,3   

  1. 1. Jilin University,State Key Laboratory of Automotive Simulation and Control, Changchun 130000;
    2. Qingdao Automotive Research Institute, Jilin University, Qingdao 266000;
    3. China Satellite Navigation and Communications Co., Ltd., Beijing 100094
  • Received:2020-07-24 Revised:2020-09-01 Online:2020-10-25 Published:2020-10-26

Abstract: Vehicle longitudinal dynamics is applied to the reconstruction of the road network in front of the vehicle based on ADAS map, combined with prior knowledge of predictive fuel-saving driving, and a dynamic programming optimization algorithm for the predictive cruise control of a commercial vehicle is proposed, solving the practicalization problems of dynamic programming algorithm under long-distance and multiple constraints, such as bloating algorithm and the inability in the real-time calculation of onboard embedded system. The results of real vehicle verification test show that under the driving condition of same route, condition and driver, predictive cruise control can achieve fuel saving by 3%~ 6%, compared with ordinary driver driving

Key words: ADAS map, predictive cruise control, dynamic programming, optimization algorithm