A battery electric bus energy consumption model for strategic purposes: Validation of a proposed model structure with data from bus fleets in China and Norway

被引:67
作者
Hjelkrem, Odd Andre [1 ]
Lervag, Karl Yngve [2 ]
Babri, Sahar [1 ]
Lu, Chaoru [3 ]
Sodersten, Carl-Johan [1 ]
机构
[1] SINTEF, Dept Mobil & Econ, POB 4760, NO-7465 Trondheim, Norway
[2] SINTEF Energy Res, Dept Gas Technol, POB 4671, NO-7465 Trondheim, Norway
[3] Oslo Metropolitan Univ, Dept Civil Engn & Energy Technol, POB 4, NO-0130 Oslo, Norway
关键词
Battery electric bus; Energy consumption model; Vehicle dynamics; Sparse data; Auxiliary load; FUEL; PREDICTION; VEHICLES;
D O I
10.1016/j.trd.2021.102804
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, an energy model for battery electric buses (Ebus) is proposed. The model is developed based on established models for longitudinal dynamics, using event-based low-frequency data. Since the energy model is able to provide relatively accurate estimation of Ebus energy consumption with limited input requirements, it can be easily applied for future bus route planning. In addition, we have introduced a comprehensive model of the auxiliary systems, which contributes significantly to the total energy consumption ofa bus. The model for auxiliary systems includes heating, ventilation, air conditioning, and other electrical components. To evaluate the model, data was collected from 3266 trips with Ebuses operated in China and Norway. The results show that the model is able to predict the energy consumption on a trip level comparison.
引用
收藏
页数:15
相关论文
共 38 条
[1]  
[Anonymous], 2018, 2030 Climate Energy Framework
[2]   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
[3]   The Fuel Economy of Hybrid Buses: The Role of Ancillaries in Real Urban Driving [J].
Bottiglione, Francesco ;
Contursi, Tommaso ;
Gentile, Angelo ;
Mantriota, Giacomo .
ENERGIES, 2014, 7 (07) :4202-4220
[4]   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
[5]  
Engineering ToolBox, 2005, Air change rates in typical rooms and buildings
[6]   The Impact of Driving Styles on Fuel Consumption: A Data-Warehouse-and-Data-Mining-Based Discovery Process [J].
Ferreira, Joao C. ;
de Almeida, Jose ;
da Silva, Alberto Rodrigues .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (05) :2653-2662
[7]   Battery capacity and recharging needs for electric buses in city transit service [J].
Gao, Zhiming ;
Lin, Zhenhong ;
LaClair, Tim J. ;
Liu, Changzheng ;
Li, Jan-Mou ;
Birky, Alicia K. ;
Ward, Jacob .
ENERGY, 2017, 122 :588-600
[8]   Experimental validation of electric bus powertrain model under city driving cycles [J].
Halmeaho T. ;
Rahkola P. ;
Tammi K. ;
Pippuri J. ;
Pellikka A.-P. ;
Manninen A. ;
Ruotsalainen S. .
IET Electrical Systems in Transportation, 2017, 7 (01) :74-83
[9]  
Hjelkrem O.A., 2016, TECHNICAL REPORT SIN
[10]   Estimation of tank-to-wheel efficiency functions based on type approval data [J].
Hjelkrem, Odd Andre ;
Arnesen, Petter ;
Bo, Torstein Aarseth ;
Sondell, Rebecka Snefuglli .
APPLIED ENERGY, 2020, 276