Transient Injection Quantity Control Strategy for Automotive Diesel Engine Start-Idle Based on Target Speed Variation Characteristics
Active control of injection quantity during start-up idle optimizes automotive diesel engine starting performance, aligning with low-carbon goals. Conventional methods rely on a calibrated demand torque map adjusted by speed, temperature, and pressure variations, requiring extensive labor for calibration and limiting energy-saving and emission improvements. To address this problem, this paper proposes a transient injection quantity active control method for the start-up process based on the variation characteristics of target speed. Firstly, the target speed variation characteristics of the start-up process are optimized by setting different accelerations. Secondly, a transient injection quantity control strategy for the start-up process is proposed based on the target speed variation characteristics. Finally, the control strategy proposed in this paper was compared with the conventional starting injection quantity control method to verify its effectiveness. The results show that the start-up idle control strategy proposed in this paper reduces the cumulative fuel consumption of the start-up process by 25.9% compared to the conventional control method while maintaining an essentially unchanged start-up time. The emissions of hydrocarbon (HC), carbon monoxide (CO), and nitrogen oxides (NOx) exhibit peak reductions of 12.4%, 32.5%, and 62.9%, respectively, along with average concentration drops of 27.2%, 35.1%, and 41.0%. Speed overshoot decreases by 25%, and fluctuation time shortens by 23.6%. The results indicate that the proposed control method not only avoids complicated calibration work and saves labor and material resources but also effectively improves the starting performance, which is of great significance for the diversified development of automotive power sources.
Authors
- Liang Guo (ORCID: https://orcid.org/0000-0002-9609-5221)
- Dawei Qu
- Miao Yang (ORCID: https://orcid.org/0000-0001-6614-147X)
- Xuedong Lin
- Hao Zhang (ORCID: https://orcid.org/0000-0002-7499-5114)
- Jianjiang Liu (ORCID: https://orcid.org/0000-0003-3854-0937)
- Yingshu Liu (ORCID: https://orcid.org/0000-0002-1054-8438)
- Degang Li (ORCID: https://orcid.org/0000-0003-3695-0510)
Institutions
- Jilin University (CN)
- First Automotive Works (China) (CN)
Publication Details
- Journal
- Energies
- Published
- 2025-10-03
- DOI
- https://doi.org/10.3390/en18195256
- Citations
- 1
- Primary Topic
- Real-time simulation and control systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Natural Science Foundation of Jilin Province
- People's Government of Jilin Province