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Mr. Meng Lu
Lund University

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 induction motor
0 PMSM multi-objective optimization
0 Powertrains design and optimization
0 electrical machine design, operation and optimization
0 Vehicle & Transportation Systems

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Short Biography

Meng Lu was born in China in 1986. He received M.Sc. degree in vehicle engineering from Beijing Institute of Technology, Beijing, China, in 2013. Between 2013 and 2018, he was a project manager of hybrid applications in Beijing Automotive Technology Center, Beijing, China. Currently he is working toward a Ph.D. degree with the Division of Industrial Electrical Engineering and Automation, Faculty of Engineering, Lund University, Lund, Sweden.

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Journal article
Published: 21 May 2021 in Energies
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At present, the prevalence of electric vehicles is increasing continuously. In particular, there are promising applications for commercial vehicles transferring from conventional to full electric, due to lower operating costs and stricter emission regulations. Thus, cost analysis from the fleet perspective becomes important. The study of cost competitiveness of different drivetrain designs is necessary to evaluate the fleet cost variance for different degrees of electrical machine commonality. This paper presents a methodology to find a preliminary powertrain design that minimizes the Total Cost of Ownership (TCO) for an entire fleet of electric commercial vehicles while fulfilling the performance requirements of each vehicle type. This methodology is based on scalable electric machine models, and particle swarm is used as the main optimization algorithm. The results show that the total cost penalty incurred when sharing the same electrical machine is small, therefore, there is a cost saving potential in higher degrees of electrical machine commonality.

ACS Style

Meng Lu; Gabriel Domingues-Olavarría; Francisco Márquez-Fernández; Pontus Fyhr; Mats Alaküla. Electric Drivetrain Optimization for a Commercial Fleet with Different Degrees of Electrical Machine Commonality. Energies 2021, 14, 2989 .

AMA Style

Meng Lu, Gabriel Domingues-Olavarría, Francisco Márquez-Fernández, Pontus Fyhr, Mats Alaküla. Electric Drivetrain Optimization for a Commercial Fleet with Different Degrees of Electrical Machine Commonality. Energies. 2021; 14 (11):2989.

Chicago/Turabian Style

Meng Lu; Gabriel Domingues-Olavarría; Francisco Márquez-Fernández; Pontus Fyhr; Mats Alaküla. 2021. "Electric Drivetrain Optimization for a Commercial Fleet with Different Degrees of Electrical Machine Commonality." Energies 14, no. 11: 2989.