Lithium Forklift Clients Case- Increased Uptime and Savings

We detail how our Xicha batteries and next-generation material handling equipment boosted uptime and cut operating costs for a large U.S. manufacturing plant.

We assessed the plant’s throughput and energy profile using a two-week power study. The study recorded peak-day use at 1426 AH and an average day at 1380 AH. EBU averaged 1.84 with a peak of 1.9, which pushed lead-acid limits and showed the need for a different energy approach.

Using that data, we modeled duty cycles and selected Xicha packs with robust BMS, matched chargers, and modern vehicle integrations. The result targeted fewer battery swaps, steadier voltage, and reliable runtime across two shifts.

Our approach aligned with industry thresholds and real usage metrics, so recommendations fit the site layout and operator cadence. We aimed for clear outcomes: lower downtime, better operator experience, and a reduced cost per operating hour.

Key Takeaways

• Measured power study showed peak and average AH that exceeded lead-acid practical limits.
• Data-driven selection of Xicha batteries, chargers, and integrations improved runtime.
• Fewer battery changes and steadier voltage cut downtime and operating costs.
• Implementation matched shift cadence and site layout to maximize throughput.
• Results provide a practical reference for fleets evaluating energy upgrades.

Client Snapshot: A Large U.S. Manufacturing Plant Seeking Reliable, High-Throughput Material Handling

At a large manufacturing site, repeatable peak periods exposed gaps in truck runtime and charging logistics.

We evaluated a two-shift operation where sit-down counterbalance trucks handled continuous pallet moves, dock work, and line-side replenishment. The plant required on-time fulfillment and a charging footprint that fit a crowded floor plan.

Business needs focused on predictable runtime across shifts, fewer operator interruptions, and lower lifetime costs. Customers asked for clearer battery-health data and simplified maintenance.

"Mid-shift slowdowns and queueing at change-out areas were the primary signals that the energy system was undersized."

High-cycle usage pushed energy demands beyond a single lead-acid pack per truck. We gathered cross-functional input from operations, maintenance, EHS, and finance to align objectives and set a data-led path from assessment to deployment.

Baseline Operations and Challenges with Lead-Acid Power

A close look at shift routines revealed repeated runtime gaps that cost time and slowed fulfillment. The plant ran two 10-hour shifts with sustained, high-hour usage during peak season.

Two-shift production and fleet utilization

Multiple trucks worked continuously, so drawdowns stacked across the fleet during busy windows. High utilization pushed daily amp-hour usage to about 1380 AH on average and 1426 AH at peak, which stressed single-battery setups.

Legacy battery profile and aging effects

The fleet used 18-85-23 lead batteries (935 AH nameplate, ~748 AH usable at 80%). Late-shift voltage sag and aging cycles compressed usable capacity, and packs rarely lasted beyond three years.

Quantified pain points and operational costs

Mid-shift battery changes required staging, swap equipment, and operator coordination. Those steps introduced hidden downtime and raised direct maintenance costs from watering, equalization, corrosion repair, and unplanned service calls.

• Runtime shortfalls forced supervisors to keep buffer trucks on hand.
• Safety and housekeeping around battery rooms added friction and risk.
• Uneven performance from aging packs complicated dispatch and planning.

These challenges limited throughput and increased total ownership costs. We concluded that a power study was essential to remove guesswork and size a solution to actual observed usage and peak demand.

Power Study Insights That Informed the Solution

Our team logged hourly draw and charger events to convert daily activity into a clear energy profile. We replicated Toyota Energy Consultants’ two-week framework to make results comparable.

Methodology: EBU and amp-hour analysis

We tracked amp-hour usage by shift and task, mapping consumption to lanes, dock cycles, and high-load lifts. This let us compute a single energy number that represents daily demand.

Findings: what the numbers showed

Average usage rested at about 1380 AH/day with a peak near 1426 AH. Those draws produced an EBU averaging 1.84 and peaking at 1.9 against 748 AH usable capacity.

• EBU = daily AH used ÷ usable capacity — a simple metric to compare duty cycles.
• Values above 1.6 signaled sustained, two-shift demand that single-battery change-outs could not reliably cover.
• Variance analysis showed peaks would still exceed lead-acid thresholds even with operational smoothing.

Modeling against recognized studies reduced deployment risk. We concluded that lithium-ion batteries would best maintain state-of-charge through both shifts, enable controlled opportunity charging, and match the facility’s high-throughput applications.

Our Solution: Xicha Lithium Batteries + Next-Generation Lithium-Ion Forklifts

We designed a complete energy package that prioritized usable capacity, fast recharge, and thermal control for continuous operations.

Battery and BMS specifications

We deployed Xicha batteries sized for high usable capacity and rapid charge acceptance. The integrated BMS monitors cell-level health, thermal zones, and charge acceptance to protect performance under heavy duty cycles.

Fleet configuration and telematics

We paired next-generation trucks that matched duty profiles and attachments. Telematics gave SOC visibility, utilization metrics, and alerts so supervisors could enforce charge rules and reduce guesswork.

Charging strategy and facility layout

We specified high-frequency chargers for safe opportunity charging during breaks and micro-pauses. Charger placement followed traffic flows to cut deadhead time and keep vehicles available across both shifts.

• Thermal management and enclosures for wide ambient ranges.
• Safety interlocks, diagnostics, and operator prompts on the display.
• Fleet rules with SOC targets and charger-to-truck ratios based on the power study.
• Dashboards tracking utilization, charge events, and exceptions for continuous improvement.

Implementation at the Facility: From Pilot to Full Fleet Conversion

The implementation began with a focused pilot that mirrored peak-shift activity and typical material handling flows.

Rollout plan, training, and change management

We initiated a controlled pilot on representative trucks and applications to validate runtime, charge windows, and operator acceptance.

Training was role-based. Operators practiced opportunity charging and learned dashboard cues.

Maintenance teams learned BMS diagnostics and preventive checks to reduce unplanned work.

Safety, compliance, and charger installation

We coordinated charger installation in phases during low-activity windows to reduce downtime and confirmed electrical clearances to meet site standards.

Safety measures included interlocks, signage, and documented procedures tied to EHS reviews.

Retiring acid-handling practices simplified housekeeping and cut labor spent on non-value tasks.

• Embedded SOPs and visible signage at charger areas for consistent plug-in habits.
• Zone-based rollout to keep trucks available while commissioning new packs.
• Telematics alignment so supervisors can plan labor and truck readiness by shift.

We closed the pilot with a validation report and go/no-go gate. Once targets were met, we scaled the solutions across the fleet to protect time and throughput.

Results: Uptime, Cost Savings, and Performance Gains

Following rollout, shift logs and telematics revealed a steep drop in mid-shift downtime and more consistent on-shift power. We measured gains in availability and verified the system across peak windows.

Uptime and productivity: eliminating battery changes and stabilizing energy for peak periods

We eliminated mid-shift battery changes, which cut queueing and improved truck availability during busy hours.

Smoother power delivery produced less voltage sag under load and kept lift and travel speeds steady.

• Fewer change-outs improved productivity and removed hidden labor costs.
• Telematics and BMS gave clear battery health so supervisors could plan reliably.
• High-load performance matched or exceeded targets during peak demand.

Total cost of ownership: reduced maintenance, fewer batteries per truck, and energy efficiency

We cut maintenance hours spent on watering, equalization, and acid handling. That lowered recurring costs and simplified shop work.

Operator outcomes and sustainability metrics

Operators reported predictable runtime, clearer charge prompts, and fewer interruptions. These improvements supported retention themes discussed at industry sessions.

"Aligning technology and process strengthened productivity and made shifts easier to staff."

Sustainability improved through lower energy use per pallet moved, fewer replacements, and the removal of acid handling from daily routines.

How This lithium forklift clients case Guides Your Fleet Decisions

We translate measured runtime and energy peaks into a clear decision framework for fleet managers. The goal is to help you choose the right energy path for your trucks and operations.

When to switch from lead-acid

Usage profiles, EBUs, and operational triggers

Run a structured study to log daily amp-hours by application and compute EBU. This single metric turns complex duty cycles into a usable power decision rule.

• EBU 0–1: conventional lead power works.
• EBU 1–1.25: lead with opportunity charging may fit.
• EBU 1.25–1.6: fast-charge lead is pushed but usable.
• EBU 1.6–3+: we recommend moving from lead to modern packs; our plant averaged 1.84 and peaked at 1.9 on 748 AH usable, which drove the recommendation.

Look for operational triggers: frequent mid-shift swaps, late-shift slowdowns, inconsistent runtime, and rising maintenance hours. Align charging with real pause windows and place chargers where operators can comply easily.

"Use data, not guesswork, to match energy strategy to your busiest shifts."

Conclusion

By aligning energy strategy to real usage, we turned peak-day strain into steady, predictable operation.

Our Xicha lithium batteries and next-generation forklifts delivered predictable runtime and fewer interruptions for this material handling facility.

We used a power study and EBU analysis to create a clear decision path. That approach removed uncertainty and produced a scalable charging plan, right-sized batteries, and integrated telematics.

The result: higher truck availability, lower maintenance and energy costs, and simpler daily work for operators. Today, customers can run their numbers—capacity, usage, and EBU—to design a practical rollout.

Contact us to assess your fleet and plan a charging footprint that meets peak demand and keeps operations on time.