Study on Steady Condition Control of Hybrid Turbocharging System
This paper analyzes the principle of hybrid turbocharging system in a vehicle diesel engine, and proposes motor control model about hybrid turbocharging system in steady engine operation condition according to energy imbalance of the exhaust gas. The high-speed motor can work as a motor or a generator in this control model of different engine condition. Then mapping algorithms about n-dimensional linear interpolation and BP neural network are presented to solve steady condition control problem of the hybrid turbocharging system. Each algorithm is applied to map same sample data, the simulation results reveal that BP neural network mapping algorithm is more suitable for the mapping control of hybrid turbocharging system because BP neural network has better generalization ability and faster processing speed.
Liangchi Zhang, Chunliang Zhang and Tielin Shi
F. Z. Zhao et al., "Study on Steady Condition Control of Hybrid Turbocharging System", Advanced Materials Research, Vols. 139-141, pp. 1941-1944, 2010