EconPapers    
Economics at your fingertips  
 

Energy efficiency optimization of a compound coupled hydro-mechanical transmission for heavy-duty vehicles

Jin Yu, Xiaohan Dong, Yurun Song, Yangguang Zhang, Huasen Zhang, Xianshen Yang, Zhongjie Xu and Yupeng Liu

Energy, 2022, vol. 252, issue C

Abstract: The concept of carbon neutrality makes scholars not only intensify their exploration on the utilization of new energy, but also further optimizing the utilization of traditional energy by improving energy management. Nearly half of energy losing among traditional internal combustion vehicle is due to energy delivering and operation. The CCHMT prototype enabled the vehicle to run smoothly and efficiently under harsh conditions. However, the large number of parameters makes the optimization of energy management system difficult, which adds a lot of troubles to the subsequent product serialization. Thus, after finishing research on CCHMT-3, a comprehensive optimization algorithm based on NSGA-II&SA is constructed to optimize the transmission characteristic parameters of CCHMT-4. By using the algorithm-optimized parameters, the AMEsim model simulation with CCHMT-4 shows better static speed regulation characteristics, efficiency characteristics and load stiffness characteristics. Furthermore, the dynamic characteristics of CCHMT-4 are simulated by DP dynamic programming algorithm, and the result shows that under the operation condition of JN1015, the fuel consumption rate is reduced by 13.9% compared with CCHMT-3. Subsequently, CCHMT-4 prototype processing and test-bed construction were carried out to verify the relevant characteristics of CCHMT-4. The experiment results show that the actual efficiency of CCHMT-4 is 80.6%–86.0%, the experimental data of fuel consumption is 0.701 kg, which shows better operation performance than CCHMT's former research.

Keywords: Heavy-duty vehicle; Compound coupled hydro-mechanical transmission (CCHMT); Energy efficiency; Energy management; Fuel consumption (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222008404
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:252:y:2022:i:c:s0360544222008404

DOI: 10.1016/j.energy.2022.123937

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222008404