PDF(5869 KB)
Key Technologies for System Engineering of Electric Commercial Vehicles
Fengchun Sun, Hongwen He
Strategic Study of CAE ›› 2018, Vol. 20 ›› Issue (1) : 59-67.
PDF(5869 KB)
PDF(5869 KB)
Key Technologies for System Engineering of Electric Commercial Vehicles
The development of new energy vehicles has reached a world consensus. Accordingly, pure electric vehicles have been identified as a national strategic emerging industry in China and a key field of the "China Manufacture 2025". This study reviews the history, technical route, and characteristic of the development of electric commercial vehicles in China. Combining the requirements of "zero-emission" and "24 h non-interrupted safe operation" in the Beijing Olympics, we propose herein the concept of “system engineering of electric commercial vehicles” with three core components, namely, vehicle platform, swap charging station, and operation monitoring. This study also introduces and investigates the key technologies of the three components. Lastly, this study discusses the main technical measures for upgrading the system engineering of electric commercial vehicles to realize a 5 million-level application of the new energy vehicle in 2020 and satisfy the application in an environment of -25 ℃ in the Beijing Winter Olympics in 2022. The study aims to realize a pure electric commercial vehicle with superior performance, no technical defects, and a forbidden application zone.
electric commercial vehicle / charging/changing station / operation monitoring / system engineering / Winter Olympics
| [1] |
欧阳明高. 中国新能源汽车的研发及展望 [J]. 科技导报, 2016, 34(6): 13–20.
|
| [2] |
Liu W, Khajepour A, He H W, et al. Integrated torque vectoring control for a three-axle electric bus based on holistic cornering control method [J]. IEEE Transactions on Vehicular Technology, 2017 (99): 1.
|
| [3] |
Liu W, He H W, Sun F C, et al. Integrated chassis control for a three-axle electric bus with distributed driving motors and active rear steering system [J]. Vehicle System Dynamics, 2017, 55(5): 601–625.
|
| [4] |
Sun F C, Xiong R, He H W. Estimation of state-of-charge and state-of-power capacity of lithium-ion battery considering vary-ing health conditions [J]. Journal of Power Sources, 2014 (259): 166–176.
|
| [5] |
Sun F C, Chen K, Lin C, et al. Experimental study on heat gener-ation and dissipation performance of PEV Lithium-ion battery [J]. High Technology Letters, 2010, 16(1): 1–5.
|
| [6] |
He H W, Xiong R, Zhang X W, et al. State-of-charge estimation of lithium-ion battery using an adaptive extended Kalman filter based on an improved Thevenin model [J]. IEEE Transactions on Vehic-ular Technology, 2011, 60(4): 1461–1469.
|
| [7] |
林程, 陈国强, 孟祥, 等. 电动大客车传动系统控制技术研究 [J]. 北京理工大学学报, 2007, 27(1): 25–28.
|
| [8] |
Zhang S, Xiong R, Zhang C N, et al. An optimal structure se-lection and parameter design approach for a dual-motor-driven system used in an electric bus [J]. Energy, 2016 (96): 437– 448.
|
| [9] |
林程, 王文伟, 孙逢春. 纯电动公交客车结构与设计 [J]. 机械工程学报, 2005, 41(12): 25–29.
|
| [10] |
高玮, 邹渊, 孙逢春. 纯电动公交车AMT 双参数换挡最优控制 [J]. 汽车工程, 2016, 38(3): 344–349.
|
| [11] |
Sun F C, He H W. Industrialization of electric vehicles and key technologies [C]. International Conference on Power Electronics Systems and Applications. Hong Kong, IEEE, 2011.
|
| [12] |
Wang C Y, Zhang G S, Ge S H, et al. Lithium-ion battery structure that self-heats at low temperatures [J].
|
| [13] |
Sun F C, Liu W, He H W, et al. An integrated control strategy for the composite braking system of an electric vehicle with independently driven axles [J]. Vehicle System Dynamics, 2016, 54(8): 1031–1052.
|
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| 〈 |
|
〉 |
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