Enhancing fault detection in new energy vehicles via novel ensemble approach

Key Points

• Enhanced fault detection in new energy vehicles demonstrates improved reliability under various operational conditions.
• The ensemble approach achieved accuracy rates of up to 95% in predictive modeling for fault identification.
• Assessment using machine learning algorithms analyzes performance across multiple datasets and scenarios.
• This study highlights the importance of advanced techniques for safety in emerging electric vehicle technologies.