Virtual Battery State Estimation for Hybrid Vehicle Energy Recovery

The patent segments the power storage amount management into two independent components: the management width (upper and lower limits) and the virtual power storage amount calculation. By separating these functions, the system can improve regenerative energy recovery through virtual amount estimation without requiring changes to other control settings that depend on the management width, thus reducing control complexity while maintaining energy recovery efficiency.

The patent introduces a virtual power storage amount as an intermediary concept between the actual power storage amount and the control decisions. This virtual amount incorporates expected regenerative energy into the control calculations, allowing the system to optimize kinetic energy recovery without directly modifying the management width or other control parameters, thereby avoiding the complexity associated with coordinated changes across multiple control settings.

The patent divides the control optimization into independent modules: the management width remains fixed for operational simplicity, while the virtual power storage amount calculation handles the optimization logic. This segmentation allows fuel efficiency improvement through intelligent virtual amount estimation without requiring operators to manage multiple changing settings, thus maintaining ease of operation.

The system performs self-optimization by automatically calculating the virtual power storage amount based on expected regenerative energy and actual power storage amount. This self-service mechanism handles the complex optimization logic internally, eliminating the need for operators to manually adjust multiple settings, thereby maintaining ease of operation while achieving fuel efficiency improvement.

The patent applies partial action by estimating only the expected regenerative electric power component separately from the actual power storage amount, rather than requiring complete and precise measurement of all power flow variables. This partial estimation approach improves kinetic energy recovery efficiency while avoiding the need for comprehensive high-precision measurement systems.

The virtual power storage amount serves as an intermediary that combines the actual measured power storage amount with the estimated expected regenerative power. This intermediary calculation allows the system to achieve improved kinetic energy recovery through estimation without requiring the same level of measurement precision for all parameters, as the virtual amount synthesizes available data with reasonable estimates.