Assessing the impact of cornering losses on the energy consumption of electric city buses

被引:33
作者
Beckers, Camiel J. J. [1 ]
Besselink, Igo J. M. [1 ]
Nijmeijer, Henk [1 ]
机构
[1] Eindhoven Univ Technol, Dept Mech Engn, POB 513, NL-5600 MB Eindhoven, Netherlands
基金
欧盟地平线“2020”;
关键词
Electric vehicle; Energy demand; Modeling; Vehicle dynamics; City bus; Tire slip; VEHICLES;
D O I
10.1016/j.trd.2020.102360
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In view of the increasing electrification of public city transport, an accurate energy consumption prediction for Battery Electric Buses (BEBs) is essential. Conventional prediction algorithms do not consider energy losses that occur during turning of the vehicle. This is especially relevant for electric city buses, which have a limited battery capacity and often drive curvy routes. In this paper, the additional energy consumption during steering of a BEB is modeled, measured, and assessed. A nonlinear steady-state cornering model is developed to establish the additional energy losses during cornering. The model includes large steer angles, load transfer, and a Magic Formula tire model. Model results show that both cornering resistance and tire scrub of the rear tires cause additional energy losses during cornering, depending on the corner radius and vehicle velocity. The energy consumption model is validated with full scale vehicle tests and shows an average deviation of 0.8 kW compared to the measurements. Analysis of recorded real-world bus routes reveals that on average these effects constitute 3.1% of the total powertrain energy. The effect is even more significant for routes crossing city centers, reaching values up to 5.8%. In these cases, cornering losses can be significant and should not be neglected in an accurate energy consumption prediction.
引用
收藏
页数:15
相关论文
共 29 条
[1]   Sensitivity analysis for energy demand estimation of electric vehicles [J].
Asamer, Johannes ;
Graser, Anita ;
Heilmann, Bernhard ;
Ruthmair, Mario .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 46 :182-199
[2]  
Beckers C.J. J., 2019, 2019 IEEE INTELLIGEN, P4164, DOI [DOI 10.1109/ITSC.2019.8917232, DOI 10.1109/itsc.2019.8917232]
[3]  
Beckers C.J.J., 2020, MATLAB SCRIPTS DESCR, DOI DOI 10.4121/UUID:E6560568-4203-43C5-9FDB-A91BC5E2CEE4
[4]   Study on Energy Loss due to Cornering Resistance in Over-Actuated Vehicles using Optimal Control [J].
Bhat, Sriharsha ;
Davari, Mohammad Mehdi ;
Nybacka, Mikael .
SAE International Journal of Vehicle Dynamics, Stability, and NVH, 2017, 1 (02) :263-269
[5]   An energy-efficient torque-vectoring algorithm for electric vehicles with multiple motors [J].
Chatzikomis, C. ;
Zanchetta, M. ;
Gruber, P. ;
Sorniotti, A. ;
Modic, B. ;
Motaln, T. ;
Blagotinsek, L. ;
Gotovac, G. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 128 :655-673
[6]   Energy Consumption Prediction for Electric Vehicles Based on Real-World Data [J].
De Cauwer, Cedric ;
Van Mierlo, Joeri ;
Coosemans, Thierry .
ENERGIES, 2015, 8 (08) :8573-8593
[7]   Wheel Torque Distribution Criteria for Electric Vehicles With Torque-Vectoring Differentials [J].
De Novellis, Leonardo ;
Sorniotti, Aldo ;
Gruber, Patrick .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (04) :1593-1602
[8]   Automotive Li-Ion Batteries: Current Status and Future Perspectives [J].
Ding, Yuanli ;
Cano, Zachary P. ;
Yu, Aiping ;
Lu, Jun ;
Chen, Zhongwei .
ELECTROCHEMICAL ENERGY REVIEWS, 2019, 2 (01) :1-28
[9]   Evaluating the technological evolution of battery electric buses: China as a case [J].
Du, Jiuyu ;
Li, Feiqiang ;
Li, Jianqiu ;
Wu, Xiaogang ;
Song, Ziyou ;
Zou, Yunfei ;
Ouyang, Minggao .
ENERGY, 2019, 176 :309-319
[10]   Energy efficient cornering using over-actuation [J].
Edren, Johannes ;
Jonasson, Mats ;
Jerrelind, Jenny ;
Trigell, Annika Stensson ;
Drugge, Lars .
MECHATRONICS, 2019, 59 :69-81