Telehandler Power Allocation Based on Battery State of Charge
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Solution Overview
Problem
Existing energy saving solutions for electric or hybrid telehandlers are not flexible and require operator discretion, lacking optimization for the telehandler sector.
Innovation Solution
A self-propelled operating machine, such as a telehandler, equipped with a processing unit that controls traction and hydraulics system motors, limits instantaneous power based on battery state of charge and temperature, and dynamically adjusts power consumption according to operating conditions and accessory demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If prior art energy saving solutions are implemented, then energy consumption is reduced, but flexibility and optimization for telehandler operations are compromised
Solution Approach 1:
The system dynamically adjusts power limits for traction and hydraulics motors based on real-time battery state of charge levels. The processing unit continuously monitors battery status and automatically modifies instantaneous power delivery limits, enabling the system to adapt energy consumption patterns to current battery conditions without requiring operator intervention or sacrificing operational flexibility.
2Adaptability or versatility
If operator discretion is required for energy restrictions, then flexibility is maintained, but ease of operation and productivity are reduced
Solution Approach 1:
The energy management system operates autonomously without requiring operator discretion or manual intervention. The processing unit automatically monitors battery state of charge, determines appropriate power limits, and controls the traction and hydraulics motors based on predefined optimization algorithms. This self-service approach eliminates the need for operator decision-making while maintaining flexibility through automatic adaptation to battery conditions.
3Ease of operation
If automatic power limiting is implemented, then ease of operation and productivity are improved, but device complexity increases
Solution Approach 1:
The processing unit performs multiple functions: it monitors battery state of charge, determines maximum battery power, calculates maximum traction and hydraulics power, limits instantaneous power delivery to both motors, and controls accessory user devices. By consolidating these diverse functions into a single multi-functional processing unit, the system achieves automatic power management without proportionally increasing overall system complexity.
4Productivity
If power is distributed to multiple motors and accessories, then productivity is enhanced, but energy management complexity increases
Solution Approach 1:
The system segments power management into distinct controllable components: traction motor power limiting, hydraulics motor power limiting, and accessory device power control. The processing unit independently manages each segment based on battery state of charge, allowing sophisticated multi-component power distribution while maintaining manageable complexity through modular control architecture.
Data Source
AI summary
A self-propelled operating machine includes a traction motor, a hydraulics system motor, a battery, and a processing unit configured to control operation of the traction motor and the hydraulics system motor. The processing unit is further configured to determine a state of charge of the battery, determine a maximum battery power that can be delivered by the battery based on the state of charge, determine a maximum traction power to be delivered to the traction motor based on the maximum battery power, determine a maximum hydraulic system power to be delivered to the hydraulics system motor based on the maximum battery power, limit instantaneous power delivered to the traction motor based on the maximum traction power, and limit instantaneous power delivered to the hydraulics system motor based on the maximum hydraulic system power.

