Transient Injection Quantity Control Strategy for Automotive Diesel Engine Start-Idle Based on Target Speed Variation Characteristics
Abstract
1. Introduction
2. Experiment Setup
3. Design of Start-Idle Control Strategy Based on Target Speed Variation Characteristics
3.1. Design of Target Speed Variation Characteristics During the Start-Up Process
3.1.1. Characteristics of Speed Variation During the Start-Up Process
3.1.2. Optimization of Crankshaft Angular Acceleration During the Start-Up Process
Effect of Angular Acceleration on the Variation Characteristics of Rotational Speed During the Start-Up Process
Effect of Angular Acceleration on Transient Combustion Process During the Start-Up Process
Effect of Angular Acceleration on Emissions of the Start-Up Process
3.2. Injection Quantity Control Strategy Based on Start-Up Phase Target Speed Variation Characteristics
3.3. Idle Phase Injection Quantity Control Strategy
4. Results
4.1. Comparison of Transient Injection Quantities Under Different Control Strategies
4.2. Effect of Different Starting Control Strategies on Starting Performance
5. Conclusions
- (1)
- To determine the target speed variation characteristics of the start-up process, linear functions with slopes of −80, −40, 40, and 80 were set as the target accelerations for comparison tests. It can be seen that the characteristics of speed variation based on different accelerations have a significant influence on the starting time, the stability of the transition to idle speed, and the cumulative fuel consumption and emission characteristics. When the speed variation characteristics corresponding to acceleration with a slope of 40 are the control target curve, the cumulative injection quantity of the start-up process is reduced by 25.9% compared to the traditional control method while maintaining minimal changes in start-up time and emission characteristics.
- (2)
- To verify the advantages of the proposed control strategy, an emission comparison test was conducted with the conventional starting control strategy. The results show that the proposed control strategy significantly improves HC, CO, and NOx emissions, with peak concentrations reduced by 12.4%, 32.5%, and 62.9%, and average concentrations reduced by 27.2%, 35.1%, and 41.0%, respectively, under the premise that the starting time is extended by only 0.3 s. Meanwhile, the stability of the start-up process was significantly improved, with a 12 rpm reduction in overshooting speed, equivalent to 25% less, and a 1.3 s reduction in speed fluctuation time, which was 23.6% shorter. It demonstrates that the current control method effectively enhances the starting performance, which is of great significance for the diversified development of automotive power sources.
- (3)
- The control strategy proposed in this paper demonstrates significant effectiveness in enhancing the starting performance of automotive diesel engines. Moreover, it requires neither additional auxiliary equipment nor fuel replacement. This approach offers novel methods and insights for controlling and calibrating transient fuel injection quantities during the diesel engine starting process. This methodology also holds potential for reducing fuel consumption and pollutant emissions during the frequent starting cycles of hybrid vehicles while improving starting smoothness. This holds significant importance for the decarbonization and diversification of automotive power sources.
- (4)
- However, this study has several limitations. The ambient temperature during the experiments was set at 25 °C. Current research indicates that the cold-start combustion reliability of diesel engines progressively deteriorates at lower ambient temperatures. The control strategy proposed in this paper, when combined with auxiliary measures such as in-take air preheating, has the potential to further enhance starting performance.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Category | Measuring Instruments | Manufacturer/Location | Measurement Range | Accuracy |
|---|---|---|---|---|
| Dynamometer | APA100 | AVL (Graz, Austria) | 0–12,000 r/min | |
| Gas emission analyzer | MEXA-7100D | HORIBA (Kyoto, Japan) | THC: 0–50,000 ppm NOx: 0–10,000 ppm CO(L): 0–5000 ppm | <0.5% FS <0.5% FS <0.5% FS |
| Soot emission analyzer | 483 | AVL (Graz, Austria) | 0.005–50 mg/m3 | ~5 μg/m3 |
| Opaque smoke meter | 439 | AVL (Graz, Austria) | 0–100% | 0.01% |
| Fuel flow meter | 735S | AVL (Graz, Austria) | 0–125 kg/h | ≤0.0005 g/cm3 |
| Cylinder pressure sensor | 6058AS41 | Kistler (Winterthur, Switzerland) | 0–250 bar | ≤±0.4%/FSO |
| Charge amplifier | 5011 | Kistler (Winterthur, Switzerland) | ±10–999,000 pC | <±0.05% FS |
| Combustion analyzer | Indicom | AVL (Graz, Austria) |
| Description | Specification |
|---|---|
| Engine type | Four-stroke inline diesel |
| Number of cylinders | 6 |
| Bore | 102 mm |
| Stroke | 120 mm |
| Displacement volume | 7 L |
| Compression ratio | 16.1 |
| Rated power at speed | 248 kW@2100 r/min |
| Maximum torque at speed | 1150 Nm@1200–1800 r/min |
| Connecting rod length | 198 mm |
| Eddy current ratio | 1.5 |
| Groups | Start Time (s) | Cumulative Fuel Consumption (mg) | Speed Overshoot (rpm) | Overshooting Time (s) | Average HC (ppm) | Average CO (ppm) | Average NOx (ppm) |
|---|---|---|---|---|---|---|---|
| A | 1.84 | 919.0 | 35 | 2.18 | 54.14 | 72.55 | 191.92 |
| B | 1.81 | 889.3 | 34 | 2.02 | 52.43 | 76.29 | 194.68 |
| C | 1.7 | 858.7 | 40 | 2.35 | 59.71 | 73.73 | 188.11 |
| D | 1.73 | 872.2 | 37 | 2.23 | 53.119 | 76.68 | 193.41 |
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Liu, Y.; Li, D.; Yang, M.; Zhang, H.; Guo, L.; Qu, D.; Liu, J.; Lin, X. Transient Injection Quantity Control Strategy for Automotive Diesel Engine Start-Idle Based on Target Speed Variation Characteristics. Energies 2025, 18, 5256. https://doi.org/10.3390/en18195256
Liu Y, Li D, Yang M, Zhang H, Guo L, Qu D, Liu J, Lin X. Transient Injection Quantity Control Strategy for Automotive Diesel Engine Start-Idle Based on Target Speed Variation Characteristics. Energies. 2025; 18(19):5256. https://doi.org/10.3390/en18195256
Chicago/Turabian StyleLiu, Yingshu, Degang Li, Miao Yang, Hao Zhang, Liang Guo, Dawei Qu, Jianjiang Liu, and Xuedong Lin. 2025. "Transient Injection Quantity Control Strategy for Automotive Diesel Engine Start-Idle Based on Target Speed Variation Characteristics" Energies 18, no. 19: 5256. https://doi.org/10.3390/en18195256
APA StyleLiu, Y., Li, D., Yang, M., Zhang, H., Guo, L., Qu, D., Liu, J., & Lin, X. (2025). Transient Injection Quantity Control Strategy for Automotive Diesel Engine Start-Idle Based on Target Speed Variation Characteristics. Energies, 18(19), 5256. https://doi.org/10.3390/en18195256
