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Pure electric commercial vehicles are extensively utilized under diverse driving conditions, each imposing distinct demands on the drive system. This variability complicates the design of power systems for commercial vehicles, making the optimal matching of drivetrain parameters crucial. To maximize vehicle performance and efficiency, this study integrates numerical statistical methods during the parameter-matching process of the vehicle's drivetrain system.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.