Development of an Algorithm for Identifying Fuel Blending Ratios for Methanol/Gasoline Flex-Fuel Engines Ningbo Geely Royal Engine Components Company, Limited

Format:

Book

Conference/Event

Author/Creator:

Qian, Pengfei, author.

Contributor:

Chen, Zhanming

Du, Yang

Luo, Weixing

Nan, Tiantian

Wang, Long

Conference Name:

SAE 2024 Vehicle Powertrain Diversification Technology Forum (2024-12-06 : Xi'An, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

Flex-fuel vehicles play a crucial role in energy conservation and emission reduction; however, they often rely on expensive fuel identification sensors at the nozzle to accurately control the blending ratio. To reduce costs and enhance engine flexibility, this paper presents a flexible fuel proportion identification algorithm that utilizes exhaust oxygen content measured by the oxygen sensor and engine air intake data. Additionally, the algorithm incorporates air intake feedback control and λ feedback control, which adjusts both the throttle opening and fuel mass of the flex-fuel engine, ensuring optimal operating conditions at all times. A methanol-gasoline flex-fuel engine model was developed using GT-Power, and the algorithm model was implemented in Simulink software. Then, a co-simulation model of GT-Power and Simulink is established. In the GT-Power engine model, three parametersengine speed, load, and methanol blending ratioare set for the sweep points. The algorithm model in Simulink calculates the methanol blending ratio based on the data output from the GT-Power sweep points. Finally, the calculated blending ratio is compared with the actual blending ratio set in GT-Power to verify the accuracy of the algorithm described in this paper. Results indicate that the error in the methanol blending ratio calculated by the algorithm is less than 2%. The algorithm presented in this paper utilizes real-time simulation technology based on fully algebraic equations, resulting in high efficiency, accuracy, and sensitivity

Notes:

Vendor supplied data

Publisher Number:

2025-01-7107

Access Restriction:

Restricted for use by site license