The automotive industry faces increasing pressure to reduce emissions and improve fuel efficiency amidst rising fuel costs and tightening environmental regulations. Consumers demand vehicles that offer both eco-friendliness and practicality, especially for urban commuting. This technology directly addresses these trends by optimizing PHEV performance, reducing gasoline consumption by an estimated 25%, and mitigating range anxiety, positioning it as a key enabler for sustainable urban mobility solutions.
Maximize Power Utilization Efficiency: Periodically calculates required power to destination, maximizing the use of plug-in charged electricity to significantly increase EV driving ratio.
Reduce Costs with Simplified Configuration: Can be configured with a relatively small-capacity battery and a low-output power generation engine. This simplifies the system, contributing to reduced vehicle manufacturing costs.
Eliminate Range Anxiety: Replenishes necessary power with a low-output engine during deceleration or vehicle stops. This mitigates range anxiety due to battery depletion.
This patent protects a unique control logic for plug-in hybrid vehicles, specifically the periodic identification of required power to a destination and the intelligent replenishment of power using a low-output engine during deceleration or stops. The claims were rigorously examined through two office actions, demonstrating high stability and validity against prior art, making it difficult for competitors to easily imitate.
This patent focuses on intelligent power management within existing PHEV hardware. White space exists in developing novel battery chemistries, advanced motor designs, or integrating this control logic with autonomous driving systems for predictive energy optimization.
This technology could increase the EV driving ratio of typical plug-in hybrid vehicles from approximately 60% to 85%. For a vehicle with an annual mileage of 10,000 km, gasoline price of $1.15/L (AI est.), and fuel efficiency of 20 km/L, annual gasoline consumption could be reduced by approximately 25%. This translates to an estimated annual fuel cost reduction of ~$140/vehicle (AI est.). If 10,000 units of this vehicle are sold domestically per year, an annual fuel cost reduction of ~$1.5M (AI est.) could be achieved. Furthermore, considering the potential vehicle price reduction from optimized battery capacity, the total economic impact could exceed ~$2.5M annually (AI est.).
X: Driving Efficiency
Y: Implementation Cost Efficiency