Many business operations have facilities that utilize fleets of battery powered vehicles. For example, a warehouse may use a fleet of fork lift trucks to move goods into and out of the warehouse. In some cases, such facilities operate twenty-four hours a day. In such scenarios, battery management to keep batteries charged and vehicles moving becomes a difficult problem.
In the typical warehouse scenario, a worker checks out a vehicle and utilizes that vehicle for his entire shift. As the vehicle must also be used for the next shift, the battery must be changed to allow the vehicle to continue to operate, while the original battery is charged off-line. As a typical charge can take up to 8 hours, to keep a vehicle running for three 8-hour shift requires up to three batteries. In an optimized battery change scenario, it is possible to use less batteries by having the operatives only change batteries when the indicator on the truck indicates a change is required.
This model of management of the batteries is inefficient and expensive. In addition to the cost of the multiple batteries required for each vehicle, there is the additional cost of the equipment and labor required to change the batteries and the lost time while the batteries are being rotated.
To minimize the battery changing problem, some facilities have been moving away from charging the batteries at the end of the shift and moving to “rapid charging” of the batteries. Rapid charging occurs when an operator of one of the vehicles takes a break and connects to a very high rate charger for anywhere from fifteen minutes to half an hour. This process will put enough energy back into the battery such that it can run the vehicle until the next time the operator takes a break, or until the end of the operator's shift. While this method eliminates spare batteries, the rapid charge method has several draw backs. First, it is inefficient from an energy usage point of view, with about 75% of the energy going into the battery and about 25% of the energy being wasted as heat. In addition, the rapid charging tends to shorten the life of the battery dramatically. Using the battery changing scenario, one may expect to get up to seven years life out of a battery, but in a rapid charging scenario, the life expectancy of a battery may be reduce to as little as three years. In addition, it is necessary to manage the break time of the operators by staggering the break time such that a charger is always available when the operator is on break.
Therefore, it would be desirable to provide a new method of managing the battery charging to (a) eliminate battery changing and (b) reduce the problems involved with fast charging.
The system and method of the present involves a system for managing the use and charging of vehicles utilizing batteries as their sole power source. The invention utilizes a system described in parent provisional 61/659,927 for optimizing the selection of batteries from a fleet of batteries. In that system, depleted batteries are removed from a vehicle for charging and a charged battery is picked from a fleet and installed on the vehicle. U.S. Provisional Application 61/659,927, which describes the battery fleet optimization system and method, is incorporated herein in its entirety.
The present invention modifies the paradigm of maintaining a fleet of batteries, shown as reference number 110 in
The system eliminates the need to have spare batteries available for each vehicle by shifting the operational paradigm from a battery reserve to a vehicle reserve. It has been found that the elimination of the costs of the extra batteries, the labor to change the batteries and the battery changing equipment, as well as energy savings and extended battery life from eliminating the quick charging of batteries exceeds the cost of the reserve vehicle fleet. In addition, the inclusion of addition vehicles as a reserve fleet will tend to reduce the usage of the main fleet, thereby increasing the operational lifetime of all vehicles.
It has also been found that utilizing faster then standard eight hour charge will reduce the size of the reserve fleet. In one warehousing example, a reserve fleet of about twenty percent of the core fleet size is achievable with a 4-5 hour charging time. In a typical warehouse application the cost of the increase in number of trucks for the reserve fleet would be only 15%-20% of the total cost of operating a typical battery changing room system over the 7 year life expectancy of the trucks. In this system, there is a trade-off between size of the reserve fleet and charging time. Utilizing a shorter charging time will require the maintenance of a smaller reserve fleet, but will shorten the life of the batteries somewhat. A longer charge time will extend the life of the batteries, but will require a larger reserve fleet. As such, there is an optimum point in this tradeoff for each facility.
The system can be optimized through the use of currently existing systems. The first existing system resides on the actual battery and provides operational information regarding the battery, such as remaining life, usage time, etc.
The second system is a charger management system which is coupled to each charger and which monitors the chargers and can indicate, based upon several criteria, which battery is ready for operation. This system is shown in
Although the system of the present invention is not necessarily dependant upon the usage of the battery monitoring and charge monitoring systems, the use of the system of the present invention can be optimized through the use of those existing systems.
Vehicles are queued for use after charging using any number of factors related to both the batteries and the vehicles themselves. For instance, the vehicles may simply be placed in a FIFO queue in order of charge completion. Other factors, such as time the vehicle has been in use, may be used to ensure that usage of the vehicles is spread out evenly among all vehicles in the fleet, including the reserve fleet.
As an example of the system, a distribution center which runs 24 hours will have a large fleet of forklift trucks which are specifically developed for the picking orders. It would not be uncommon for such a center to have up to 100 or more trucks busy operating within the distribution center. The trucks are in continuous operation so they will eventually use more energy than the battery can store.
The fleet reserve/rotation model of the present invention avoids the negatives of conventional methods of dealing with a continuous truck use distribution center. In accordance with this invention, a pool of reserve trucks is parked in the charging room. When the operator needs a new truck, he parks in an available charging slot, as shown in
This system and method provides many advantages over the prior art systems. First, the entire process of battery changing is eliminated, providing a savings in time, labor and capital. The need for purchase and maintenance of battery changing equipment is eliminated, as is the need to purchase the reserve fleet of batteries. In addition, the rapid charge often employed to re-charge batteries during employee breaks is eliminated, thus extending the life of the batteries. Instead, an energy-efficient charge rate can be used that will eliminate battery stratification, as batteries will be allowed to fully charge before being used.
The presence of a reserve fleet will also extend the overall life of the entire fleet by a time period approximately equal to the size of the reserve fleet. For example, if a reserve fleet of 20% is maintained, it can be expected that the life of the overall fleet will also be extended by approximately 20%.
The system of the present invention can also:
This application claims the benefit of U.S. Provisional Application 61/538,453, file Sep. 23, 2011 and entitled “Battery Use Optimization Utilizing a Reserve Fleet” and U.S. Provisional Application 61/659,927, filed Jun. 29, 2012 and entitled “Improved Method of Selecting a Battery from a Fleet of Batteries”
Filing Document | Filing Date | Country | Kind | 371c Date |
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PCT/US12/56849 | 9/24/2012 | WO | 00 | 3/24/2014 |
Number | Date | Country | |
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61538453 | Sep 2011 | US | |
61665927 | Jun 2012 | US |