商用车辆
行业挑战
我们的软件套件可在边缘或云端实现无缝集成，将数据转化为智能，为您带来电气化方面的优势。
陡峭
退化曲线
Commercial EV batteries can lose 20% of capacity in just 2–3 years – premature replacements should be avoided, costing up to 50% of vehicle price.
范围
确定性
性能不佳的 BMS 会导致量程估计误差达百分之几十，从而降低运行效率和正常运行时间。
每小时
事务
停机等于收入损失。即使是轻微的电池问题也会使车辆停驶，严重影响运营。
我们的电池优化套件
采用独特的算法，在电池状态估计和控制方面提供同类最佳的准确性和鲁棒性，从而实现最高的电池性能。
使用 Eatron的好处
积极主动的电池维护
Our BOS predicts degradation trends early – helping fleet operators reduce replacement costs and extend battery lifespan.
最大化范围和效率
With real-time insights into performance and drive cycles, our software helps optimise charging and usage patterns – maximising range and uptime.
早期安全
警告
Integrated anomaly detection identifies risks like lithium plating and thermal runaway before they escalate – minimising unplanned downtime and safety events.
我们与
大型车队运营商
客户现状与挑战
A metropolitan transit authority experienced an unexpected electric bus shutdown during peak hours. The BMS triggered a critical low SOC alert – yet post-event diagnostics showed 24% actual charge remained.
我们的解决方案
Eatron deployed its advanced SOX model with machine learning-enhanced accuracy, customised to the vehicle’s load cycles and environmental conditions.
我们的方法
The authority partnered with Eatron to improve SOC estimation accuracy and prevent future service interruptions caused by conservative shutdown thresholds.
客户成果
Following deployment, range prediction errors dropped significantly, avoiding false-critical shutdowns and improving operational uptime across the electric bus fleet.
常见问题
在常见问题部分，您可以找到有关我们公司和服务的问题解答。
Yes. Our platform requires only standard inputs – voltage, current, and temperature – and integrates easily with existing fleet management systems.
我们的 SOX 型号可在广泛的温度范围内准确运行，即使在零度以下的气候条件下也能保持性能。
是的。我们的异常检测算法可识别镀锂的早期迹象，并提供可行的预防措施。
我们的软件支持 LFP、NMC 和其他商用车辆常用的化学物质。
We analyse operational patterns and battery health to recommend smart charging plans – reducing downtime and extending lifespan.