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Focusing on the innovative design of distributed drive electric vehicles (DDEVs), this book explores the integration of four independently controllable motors in each drive, offering significant advantages like a shorter transmission chain and rapid torque response. It investigates stability and energy efficiency through various aspects, including Vehicle State Estimation, Direct Yaw Moment Control, and Control Allocation. Advanced algorithms, such as general regression neural networks and genetic algorithms, are employed to enhance control performance, making this a comprehensive study in modern vehicle power systems.
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles, Xudong Zhang
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- Année de publication
- 2021
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