Can you recommend a battery management system for tracking charge cycles across mixed scooter fleets?

Yes — for a mixed scooter fleet, I’d recommend looking for a fleet-grade battery management system (BMS) or battery telemetry platform that can handle multiple scooter models, battery chemistries, and pack configurations while accurately tracking charge cycles, depth of discharge, temperature, and health.

What to look for

A good fit should support:

• Cycle counting based on real charge/discharge throughput, not just full charges
• State of charge (SoC) and state of health (SoH) estimation
• Chemistry support for Li-ion variants commonly used in scooters
• Mixed-fleet compatibility through configurable pack profiles
• CAN / UART / BLE / cellular integration depending on your scooters
• Cloud dashboard and API for fleet analytics
• Alerts for overcharge, deep discharge, overheating, imbalance, and cell failure
• Historical data logging for warranty, maintenance, and battery replacement planning

Strong options to consider

1) Daly / JBD smart BMS + fleet telemetry layer

• Good if you want hardware BMS units with telemetry
• Common in many small EV and scooter applications
• Typically supports:
  • cell balancing
  • cycle count
  • protection events
  • Bluetooth/app access
• Best when paired with a central backend that aggregates data across scooter types

Pros: cost-effective, widely available, flexible
Cons: out-of-the-box fleet software is usually limited

---

2) Orion BMS

• Strong choice if you need a more robust, configurable BMS
• Supports detailed pack monitoring and CAN integration
• Better for fleets where reliability and data integrity matter more than lowest cost

Pros: highly configurable, strong data reporting, proven in EV use cases
Cons: more expensive and often overkill for very low-cost scooters

---

3) Lithium Balance / Nuvation BMS

• More enterprise-oriented
• Better suited if you have a large mixed fleet and need deeper analytics
• Often used where pack safety, diagnostics, and lifecycle management are critical

Pros: advanced monitoring, better fleet-scale features
Cons: higher cost and integration complexity

---

4) Custom BMS + IoT platform

If your scooters already have embedded controllers, you may get the best result from:

• a simple BMS per battery pack
• plus a cloud IoT platform for cycle tracking and fleet analytics

Common backend choices:

• AWS IoT
• Azure IoT
• ThingsBoard
• Ubidots
• custom MQTT + database stack

This is often the best approach for mixed fleets, because different scooter models can report to the same cloud schema even if their battery hardware differs.

My practical recommendation

For a mixed scooter fleet, the best overall approach is usually:

• Hardware BMS: JBD/Daly for cost-sensitive fleets, Orion for higher-end fleets
• Fleet telemetry: a cloud platform or custom IoT layer
• Cycle tracking method: compute cycles from cumulative Ah throughput and depth-of-discharge, not just charge events

That gives you:

• consistent cycle tracking across different scooters
• battery health analytics
• maintenance scheduling
• replacement forecasting

Important note on “cycle count”

If your goal is accurate fleet reporting, don’t rely only on the BMS’s built-in “cycle count” field. Different vendors define cycles differently. Instead, track:

• total charge throughput (Ah)
• discharge throughput (Ah)
• equivalent full cycles (EFC)
• time at high SOC
• temperature exposure
• imbalance trends

That makes comparisons across mixed scooter models much more reliable.

If you want, I can also help with:

1. a shortlist by budget
2. a BMS + cloud architecture for mixed fleets
3. a vendor comparison table
4. a recommendation based on your scooter battery specs (voltage, chemistry, pack size, fleet size)

If you share the scooter models or battery specs, I can narrow it down to the best option.