Energy Management Optimization of Sweepers Based on Working Conditions
2026-01-0505
To be published on 04/07/2026
- Content
- Against the backdrop of the accelerating global transition to low-carbon development, the electrification of sweepers holds significant importance. Range-extended sweepers have emerged as a vital branch of new energy sanitation vehicles. Influenced by their service characteristics, these vehicles typically exhibit distinct features such as relatively fixed routes, concentrated operational areas, and highly regular working cycles. However, current range-extended sweepers employing conventional energy management strategies often demonstrate shortcomings: upon completing tasks such as sweeping and transportation, the battery State of Charge (SOC) frequently remains at an elevated level, leading to redundant energy waste. Meanwhile, the frequent start-stop cycles of the range extender during operations not only compromise the stability and service life of the power system but also reduce the overall utilization efficiency of battery energy. To address these issues, this study focuses on range-extended sweepers and conducts optimization research on their vehicle energy management strategy based on their predetermined fixed operational procedures. By analyzing the power requirements of both the vehicle-mounted systems and the chassis powertrain, models for vehicle driving resistance, power units, and driver behavior were established. Simulations were performed under defined transfer and operating conditions, leading to the proposal of an optimized energy management method. The results demonstrate that this strategy effectively enhances battery energy utilization efficiency, reduces the battery SOC when the vehicle parks after completing tasks, fully utilizes the remaining battery energy to cover the final driving segment before parking, and decreases the range extender's operational time. This study provides a valuable reference for energy management in similar types of vehicles.
- Citation
- Dong, Chenchen et al., "Energy Management Optimization of Sweepers Based on Working Conditions," SAE Technical Paper 2026-01-0505, 2026-, .