------
## 最终结论
```python
import heapq

def minRefuelStops(target, startFuel, stations):
    # Initialize variables
    current_fuel = startFuel  # Current fuel in the car
    current_position = 0       # Current position of the car
    refueling_stops = 0        # Number of refueling stops made
    max_heap = []              # Max heap to store available fuel from gas stations
    
    # Add a final station at the target for easier calculation
    stations.append((target, 0))
    
    for position, fuel in stations:
        distance_to_station = position - current_position
        
        # While we don't have enough fuel to reach the next station, refuel from max_heap
        while current_fuel < distance_to_station:
            if not max_heap:  # No more stations to refuel from
                return -1
            # Refuel with the largest available fuel from the previous stations
            current_fuel += -heapq.heappop(max_heap)  # Pop from max heap (store as negative)
            refueling_stops += 1
        
        # Move to the next station
        current_fuel -= distance_to_station
        current_position = position
        
        # Add this station's fuel to the max_heap for future refuels
        heapq.heappush(max_heap, -fuel)  # Store as negative to simulate max heap
    
    return refueling_stops
```