1. Handlebar length determines a bicycle's agility during emergency turns; handlebars that are too long or too short will affect steering agility and riding comfort. Within a reasonable range (reference value 58-78cm), shorter handlebars result in greater agility and a higher score.Using decrease score
2. Speed level determines the ease of riding, with a reference range of 7-48 speeds. Higher gear ratings mean more gear ratios, a higher score, and easier uphill riding.Using incremental score
3. Tire width plays a decisive role in off-road performance, with a reference range of 1.0-4.0 inches. Wider wheels score higher, are better able to overcome obstacles, and offer better stability, but also consume more energy.Using incremental score
4. Battery capacity is a key factor in determining range, with a reference range of 10.4-30 Ah. A larger battery capacity results in a higher score and a longer range. (Load, road conditions, ambient temperature, and user habits also affect range.) Using incremental score
5. Net weight refers to the weight of the e-bike including the battery. The reference range is 15 kg-40 kg. The lighter the weight, the higher the score and the better the handling! Its relatively light weight makes it more suitable for seniors, women, or e-bike beginners.Using decrease score
6. Output power : The reference range is 250-1000 watts. Higher power output results in a higher score, meaning more power and a higher top speed, but also higher energy consumption.Using incremental score

*The above information is for reference only to help you better understand this ebike. Due to different production batches, the data may vary when the product is delivered. Please refer to the actual product you receive when purchasing.

*Calculation Formulas:

• Incremental Score (Higher parameter value, higher score):
  Score = (Original value - Minimum value) / (Maximum value - Minimum value) × (10 - Lowest score) + Lowest score
• Decrease Score (Lower parameter value, higher score):
  Score = (Maximum value - Original value) / (Maximum value - Minimum value) × (10 - Lowest score) + Lowest score
• Lowest score:3.0
• Maximum Score: 10