Battery End-of-Life Management and Recycling Optimization
Module: Sustainable Tech | Difficulty: Premium
Recycling Efficiency
Material Recovery Rate
Comparison
| Process | Recovery Rate | Energy Use | Cost ($/kg) | |
|---|---|---|---|
| Pyrometallurgy | 50-70% | High | 2-5 |
| Hydrometallurgy | 80-95% | Medium | 3-7 |
| Direct recycling | 90-98% | Low | 1-3 |
| Mechanical | 70-85% | Low | 1-2 |
Python Implementation
import numpy as np
class BatteryRecyclingOptimizer:
def __init__(self):
self.values = {'Li': 15, 'Co': 30, 'Ni': 12, 'Mn': 2, 'Cu': 6, 'Al': 2}
def recycling_economics(self, chemistry, method):
recovery = {'pyro': {'Li': 0.5, 'Co': 0.9, 'Ni': 0.9},
'hydro': {'Li': 0.9, 'Co': 0.95, 'Ni': 0.95}}
rates = recovery.get(method, recovery['hydro'])
revenue = sum(self.values[m] * rates.get(m, 0) for m in chemistry)
return {'revenue': revenue, 'method': method}
def second_life_matching(self, batteries, applications):
matches = []
for bat in batteries:
if bat['soh'] > 0.7:
for app in applications:
if bat['capacity'] >= app['min_capacity']:
matches.append({'battery': bat['id'], 'application': app['name']})
break
return matches
Research Insight: Direct recycling recovers 90-98% of battery materials at the lowest cost per kg.